[ { "id": "gruber-2025-vps", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Visualising the Permutation Space", "date": "2025-11-11", "abstract": "Seriations, i.e. arranging multidimensional data in a list that follows a logical sequence, are part of a technique called Exploratory Data Analysis. They reduce dimensions\nand give experts a way to assess images and other complex data, enabling them to compare their content and find similarities and differences. But only a few are used at a\nregular basis, e.g. the historgram seriation. The tool described here tries to add a more wholesome approach by showing all possible seriations in the permutation space. The\nspace grows factorially with the input size, i.e. the number of pixels, and by far not all are meaningful. The goal is to look for patterns in the space, as patterns may indicate\nfurther interesting seriations beside the historgram ones. The question is whether one is able to see such patterns when ordering the permutations and/or comparing two ordered\nspaces. Based on mathematical findings and algorithmic constraints, it will be shown that some patterns can be found even in a simplified setting using images with a size of\n3-by-2.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5517 ], "date_end": "2025-11-11", "date_start": "2025-04-19", "matrikelnr": "00121092", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "gruber-2025-vps-Bachelor thesis.pdf", "type": "application/pdf", "size": 1805314, "path": "Publication:gruber-2025-vps", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/gruber-2025-vps/gruber-2025-vps-Bachelor thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/gruber-2025-vps/gruber-2025-vps-Bachelor thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 312, "image_height": 356, "name": "gruber-2025-vps-image.png", "type": "image/png", "size": 29267, "path": "Publication:gruber-2025-vps", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/gruber-2025-vps/gruber-2025-vps-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/gruber-2025-vps/gruber-2025-vps-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/gruber-2025-vps/", "__class": "Publication" }, { "id": "schultes_lampi", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Live Ambient Physicalization Interface for dynamic Data - LAMPI", "date": "2024-11", "abstract": "Data physicalizations are becoming increasingly popular as a means of connecting people to abstract data and may help integrate the flood of information collected by modern technology into our everyday lives. In this thesis, I describe the design process for a software framework facilitating the physicalization of a stream of live data as well as the prototype of a dynamic shape and color-changing data physicalization for said data. I simulated elderly patients sharing their data using a recorded dataset to show the capabilities of the software framework and physicalization. The proposed concept provides a new method for communicating data in remote monitoring scenarios that can be built from accessible materials. It is also capable of showcasing data for other use cases with minimal adaptations, further expanding the possibilities for data physicalization.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1750, "image_height": 1800, "name": "schultes_lampi-teaser.png", "type": "image/png", "size": 2507235, "path": "Publication:schultes_lampi", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/schultes_lampi-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/schultes_lampi-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5416 ], "date_end": "2024-11", "date_start": "2024-06", "matrikelnr": "12025959", "supervisor": [ 1813 ], "research_areas": [ "Fabrication", "IllVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1750, "image_height": 1800, "name": "schultes_lampi-teaser.png", "type": "image/png", "size": 2507235, "path": "Publication:schultes_lampi", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/schultes_lampi-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/schultes_lampi-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "schultes_lampi-thesis.pdf", "type": "application/pdf", "size": 27678879, "path": "Publication:schultes_lampi", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/schultes_lampi-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/schultes_lampi-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/", "__class": "Publication" }, { "id": "Dhanoa2024", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "From Analysis to Communication: Supporting Users in Understanding Complex Spreadsheets and Dashboards", "date": "2024-09-26", "abstract": "Advancements in big data processing and interactive visualization tools have led to significant changes in how users analyze and explore their data. This thesis aims to\naddress the challenges resulting from these changes through a two-step approach to support users. We first address the issues at the spreadsheet level before moving on to more complex visual representations in a dashboard environment. We use the Fuzzy Spreadsheet approach at the spreadsheet level to include uncertain information in the decision-making process. Our approach augments traditional spreadsheets with uncertain\ninformation where a cell can hold and display a distribution of values, in addition to other contextually relevant information, such as impact and relationship between cells, to convey sensitivity and robustness information to the user. When users transition from spreadsheet representations to advanced visualization tools such as interactive dashboards, they often face challenges related to their use that can lead them to revert to their old, familiar static analysis tools. With the help of dashboard onboarding, authors can communicate the intended use and purpose of their dashboards, along with the\nworkings of visualizations present on the dashboards, to fill the user’s knowledge gap.\nWe created a process model for dashboard onboarding that formalizes and unifies different onboarding strategies for dashboards and facilitates the design and implementation of new\nonboarding approaches. Using this process model as a base and drawing inspiration from the fields of data storytelling and open-world game design, we developed an approach for\ncrafting semi-automated interactive dashboard tours (D-Tours) to produce an onboarding experience tailored to individual users while preserving their agency. We implemented\nthis concept in a tool called D-Tour Prototype which allows authors to create D-Tours from scratch or using automatic templates. Finally, we provide future directions based\non the insights from this thesis to explore the role of AI in the design and development of dashboard onboarding.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 717, "image_height": 624, "name": "Dhanoa2024-image.JPG", "type": "image/jpeg", "size": 57594, "path": "Publication:Dhanoa2024", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Dhanoa2024/Dhanoa2024-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/Dhanoa2024/Dhanoa2024-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1892 ], "co_supervisor": [ 1059 ], "date_end": "2024-09-26", "date_start": "2020-10-11", "open_access": "yes", "reviewer_1": [ 166 ], "rigorosum": "2024-10-01", "supervisor": [ 1896 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 717, "image_height": 624, "name": "Dhanoa2024-image.JPG", "type": "image/jpeg", "size": 57594, "path": "Publication:Dhanoa2024", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Dhanoa2024/Dhanoa2024-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/Dhanoa2024/Dhanoa2024-image:thumb{{size}}.png" }, { "description": null, "filetitle": "PhD Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Dhanoa2024-PhD Thesis.pdf", "type": "application/pdf", "size": 5493271, "path": "Publication:Dhanoa2024", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Dhanoa2024/Dhanoa2024-PhD Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/Dhanoa2024/Dhanoa2024-PhD Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Dhanoa2024/", "__class": "Publication" }, { "id": "rippl-2023-atg", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Automated Typogram Generation from 3D Models: A Computer-Aided Approach", "date": "2023-09", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1992, "preview_image_height": 1654, "name": "rippl-2023-atg-.pdf", "type": "application/pdf", "size": 15456453, "path": "Publication:rippl-2023-atg", "preview_name": "rippl-2023-atg-:preview.jpg", "preview_type": "image/jpeg", "preview_size": 173626, "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rippl-2023-atg/rippl-2023-atg-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/rippl-2023-atg/rippl-2023-atg-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5334 ], "date_end": "2023", "date_start": "2023", "matrikelnr": "1183435", "supervisor": [ 1410 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1992, "preview_image_height": 1654, "name": "rippl-2023-atg-.pdf", "type": "application/pdf", "size": 15456453, "path": "Publication:rippl-2023-atg", "preview_name": "rippl-2023-atg-:preview.jpg", "preview_type": "image/jpeg", "preview_size": 173626, "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rippl-2023-atg/rippl-2023-atg-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/rippl-2023-atg/rippl-2023-atg-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rippl-2023-atg/", "__class": "Publication" }, { "id": "eschner-2023-ims", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/187705", "title": "Illustrative Motion Smoothing for Attention Guidance in Dynamic Visualizations", "date": "2023-06", "abstract": "3D animations are an effective method to learn about complex dynamic phenomena, such as mesoscale biological processes. The animators’ goals are to convey a sense of the scene’s overall complexity while, at the same time, visually guiding the user through a story of subsequent events embedded in the chaotic environment. Animators use a variety of visual emphasis techniques to guide the observers’ attention through the story, such as highlighting, halos – or by manipulating motion parameters of the scene. In this paper, we investigate the effect of smoothing the motion of contextual scene elements to attract attention to focus elements of the story exhibiting high-frequency motion. We conducted a crowdsourced study with 108 participants observing short animations with two illustrative motion smoothing strategies: geometric smoothing through noise reduction of contextual motion trajectories and visual smoothing through motion blur of context items. We investigated the observers’ ability to follow the story as well as the effect of the techniques on speed perception in a molecular scene. Our results show that moderate motion blur significantly improves users’ ability to follow the story. Geometric motion smoothing is less effective but increases the visual appeal of the animation. However, both techniques also slow down the perceived speed of the animation. We discuss the implications of these results and derive design guidelines for animators of complex dynamic visualizations.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1400, "image_height": 1080, "name": "eschner-2023-ims-teaser.png", "type": "image/png", "size": 1527403, "path": "Publication:eschner-2023-ims", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-teaser:thumb{{size}}.png" }, "sync_repositum_override": "event,lecturer,location,projects", "repositum_presentation_id": null, "authors": [ 1653, 935, 1110 ], "doi": "10.1111/cgf.14836", "event": "EuroVis 2023", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1653 ], "location": "Leipzig, Germany", "number": "3", "open_access": "yes", "pages": "12", "pages_from": "361", "pages_to": "372", "publisher": "WILEY", "volume": "42", "research_areas": [ "BioVis", "IllVis", "Perception" ], "keywords": [ "Empirical studies in visualization", "Animation" ], "weblinks": [ { "href": "https://onlinelibrary.wiley.com/doi/10.1111/cgf.14836", "caption": "Computer Graphics Forum", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "eschner-2023-ims-paper.pdf", "type": "application/pdf", "size": 9072344, "path": "Publication:eschner-2023-ims", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1400, "image_height": 1080, "name": "eschner-2023-ims-teaser.png", "type": "image/png", "size": 1527403, "path": "Publication:eschner-2023-ims", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "eschner-2023-ims-video.mp4", "type": "video/mp4", "size": 16270968, "path": "Publication:eschner-2023-ims", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/", "__class": "Publication" }, { "id": "Essler2022", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Web-Based Flood Map Visualization", "date": "2022-12-08", "abstract": "Floods cause many deaths as well as lots of financial damage. Flood maps encode areas susceptibility for floods and can be used in several ways that reduce loss from floods - they are already in use for determining in which areas it is safe to build new buildings. Making them available online might increase public awareness of the risks associated with floods\nin specific areas. Additionally, maps are easier to reach once they are available on the internet. In the course of this thesis, the current status quo concerning available online\nflood maps is determined by research, and a React-based web map component to visualize flood maps was developed for the web client of a flood simulation and visualization system.\nThe map represents floods by polygons. The vertices of the polygons are provided by the simulation system, and are then rendered over the map on the web client. In the future, the developed component could include further interactivity that allows more correspondence with the simulation system, so that it could edit the simulations.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 800, "image_height": 674, "name": "Essler2022-.JPG", "type": "image/jpeg", "size": 116567, "path": "Publication:Essler2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Essler2022/Essler2022-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Essler2022/Essler2022-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5224 ], "date_end": "2022-12-08", "date_start": "2022-07-05", "matrikelnr": "01328166", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 800, "image_height": 674, "name": "Essler2022-.JPG", "type": "image/jpeg", "size": 116567, "path": "Publication:Essler2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Essler2022/Essler2022-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Essler2022/Essler2022-:thumb{{size}}.png" }, { "description": null, "filetitle": "Bachelor thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Essler2022-Bachelor thesis.pdf", "type": "application/pdf", "size": 21606926, "path": "Publication:Essler2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Essler2022/Essler2022-Bachelor thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Essler2022/Essler2022-Bachelor thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Essler2022/", "__class": "Publication" }, { "id": "Leutschacher_2022", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Visual Analysis of the Prediction of ATP-Matches", "date": "2022-06-22", "abstract": "This Paper is centered around the topic of predicting the winner of a Tennis-Match on the ATP-Tour. Firstly there is a short introduction about the relevance and research of Machine Learning. At first the topic will be discussed broadly, then more and more narrowly to match the goal of the thesis. Next a research for important literature will be carried out, to present the state of the art in the field of Machine Learning based predictions, in science and on the market. Prediction algorithms will be discussed, with an emphasis on outcome prediction in different sports. As an important and high revenue usecase of prediction, the methods of betting companies and bookmakers also get a chapter to be discussed. Same applies to the visualization of data in conjunction to\nMachine Learning, related Frameworks and Libraries and lastly also future challenges of applying Machine Learning\nIn the practical part of the thesis, an application will be talked about, that compares the performance of different neural Networks that try to predict the winner of a Tennis-\nMatch. To accomplish that, at first a dataset with over 200.000 entries and more than 200 variables was split into four chunks to be the input for one neural Network each.\nThose neural Networks were made and trained in Tensorflow and their accuracy was tested via picking three players and trying to predict their matches. The results were then plotted into a Scatterplot. With this methodology it is possible to get information about what variables, that the public has access to before the match starts, are how important for the outcome of a match. Furthermore it would be feasible to find out,\nwhat set of variables is best suited to make predictions about the winner and also if there are differences in the predictions of the three players. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 888, "image_height": 295, "name": "Leutschacher_2022-Image.JPG", "type": "image/jpeg", "size": 57001, "path": "Publication:Leutschacher_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Leutschacher_2022/Leutschacher_2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Leutschacher_2022/Leutschacher_2022-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1936 ], "date_end": "2022-06-22", "date_start": "2021-10-01", "matrikelnr": "11822449", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Leutschacher_2022-Bachelor thesis.pdf", "type": "application/pdf", "size": 1851334, "path": "Publication:Leutschacher_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Leutschacher_2022/Leutschacher_2022-Bachelor thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Leutschacher_2022/Leutschacher_2022-Bachelor thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 888, "image_height": 295, "name": "Leutschacher_2022-Image.JPG", "type": "image/jpeg", "size": 57001, "path": "Publication:Leutschacher_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Leutschacher_2022/Leutschacher_2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Leutschacher_2022/Leutschacher_2022-Image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Leutschacher_2022/", "__class": "Publication" }, { "id": "Troidl_2022", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/192525", "title": "Barrio: Customizable Spatial Neighborhood Analysis and Comparison for Nanoscale Brain Structures", "date": "2022-06-15", "abstract": "High-resolution electron microscopy imaging allows neuroscientists to reconstruct not just entire cells but individual cell sub-structures (i.e., cell organelles) as well. Based on these data, scientists hope to get a better understanding of brain function and development through detailed analysis of local organelle neighborhoods. In-depth analyses require efficient and scalable comparison of a varying number of cell organelles, ranging from two to hundreds of local spatial neighborhoods. Scientists need to be able to analyze the 3D morphologies of organelles, their spatial distributions and distances, and their spatial correlations. We have designed Barrio as a configurable framework that scientists can adjust to their preferred workflow, visualizations, and supported user interactions for their specific tasks and domain questions. Furthermore, Barrio provides a scalable comparative visualization approach for spatial neighborhoods that automatically adjusts visualizations based on the number of structures to be compared. Barrio supports small multiples of spatial 3D views as well as abstract quantitative views, and arranges them in linked and juxtaposed views. To adapt to new domain-specific analysis scenarios, we allow the definition of individualized visualizations and their parameters for each analysis session. We present an in-depth case study for mitochondria analysis in neuronal tissue and demonstrate the usefulness of Barrio in a qualitative user study with neuroscientists.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1547, "image_height": 789, "name": "Troidl_2022-Image.png", "type": "image/png", "size": 435444, "path": "Publication:Troidl_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/Troidl_2022-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/Troidl_2022-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1659, 1932, 166, 1933, 226, 818 ], "cfp": { "name": "Full Papers – EuroVis 2022.pdf", "type": "application/pdf", "error": "0", "size": "560552", "orig_name": "Full Papers – EuroVis 2022.pdf", "ext": "pdf" }, "date_from": "2021-11-11", "date_to": "2022-06-15", "event": "Proceedings Eurographics/IEEE Symposium on Visualization, Eurovis 2022", "first_published": "2022-06-15", "issn": "1467-8659", "journal": "Computer Graphics Forum", "open_access": "yes", "pages": "12", "publisher": "WILEY", "volume": "41", "research_areas": [ "IllVis" ], "keywords": [ "Neuroscience (miscellaneous)", "Computer Graphics", "vizualitation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1547, "image_height": 789, "name": "Troidl_2022-Image.png", "type": "image/png", "size": 435444, "path": "Publication:Troidl_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/Troidl_2022-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/Troidl_2022-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Troidl_2022-Paper.pdf", "type": "application/pdf", "size": 5159703, "path": "Publication:Troidl_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/Troidl_2022-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/Troidl_2022-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/", "__class": "Publication" }, { "id": "Lackner_2022", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Integrating GPU-based fluid simulation with Metaball rendering", "date": "2022-02-02", "abstract": "Fluid simulation is among the most researched topics in computer graphics. This is due to the fact that realistic fluid simulations are of first importance in many fields. The scope involves special effects in movies, animation in games, engineering and medical applications. Being one of the most researched topics of the field, there is a plethora of implementations and methods that have been discussed in extensive detail. Especially modern implementations focus on harnessing the GPU’s advantage in calculating a multitude of operations at once, to create a realistic result while also maintaining solid\nperformance.\nThis bachelor’s thesis discusses fluid simulation on the GPU. More specifically, it implements a GPU-based simulation method and combines it with an implicit modelling procedure provided by my advisor, Stefan Bruckner. The goal of the thesis is thereby to provide a fast, sufficiently realistic fluid simulation and discuss its implementation, results and performance.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 769, "image_height": 592, "name": "Lackner_2022-Image.JPG", "type": "image/jpeg", "size": 36324, "path": "Publication:Lackner_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Lackner_2022/Lackner_2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Lackner_2022/Lackner_2022-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1917 ], "date_end": "2022-02-02", "date_start": "2021-05-07", "matrikelnr": "11716989", "supervisor": [ 161 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Lackner_2022-Bachelor thesis.pdf", "type": "application/pdf", "size": 4936075, "path": "Publication:Lackner_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Lackner_2022/Lackner_2022-Bachelor thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Lackner_2022/Lackner_2022-Bachelor thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 769, "image_height": 592, "name": "Lackner_2022-Image.JPG", "type": "image/jpeg", "size": 36324, "path": "Publication:Lackner_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Lackner_2022/Lackner_2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Lackner_2022/Lackner_2022-Image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Lackner_2022/", "__class": "Publication" }, { "id": "szabo_patrik-2022-tour", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Tour of Life: A Game of Life Learning Experience", "date": "2022-02-02", "abstract": "Although the concept behind the Game of Life cellular automaton has been explored\ndeeply in the past, it is still difficult to find proper resources on this topic that would\nallow those with little to no experience in the field of IT to properly understand it. No\nsingular solution exists that explains the algorithm behind the automaton, lets the user\ninteract with the simulation, and provides explanations regarding the most common\nbuilding blocks of Life, all in one place. The goal of this bachelor thesis is to create\nan online learning tool, that would enable people with little computer knowledge, to\nengage with the automaton. This is done by offering a range of interactive lessons on\nthe Game of Life, together with a high degree of customizability of the simulation itself.\nAn additional goal of this project is to include a 3D interpretation of the Game of Life\nautomaton, adjusting the algorithm accordingly, allowing users to experiment with the\nadditional third dimension.\nThe Game of Life not being a fresh topic, related work has been researched and compared,\nand the results are laid out below. In addition to the developed web application, this\nthesis goes deeper in exploring the concepts of a Turing machine and Turing complete\nsystems, such as the Game of Life itself. Implementation details are presented, as well as\nideas for the future development of the so-called “Tour of Life”, and its potential features.\nThe results of this work are publicly available, the link to the Tour of Life website can be\nfound at the end of this thesis", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1262, "image_height": 881, "name": "szabo_patrik-2022-tour-.png", "type": "image/png", "size": 46452, "path": "Publication:szabo_patrik-2022-tour", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/szabo_patrik-2022-tour/szabo_patrik-2022-tour-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/szabo_patrik-2022-tour/szabo_patrik-2022-tour-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5319 ], "date_end": "2022-02", "date_start": "2021-09", "matrikelnr": "11811341", "supervisor": [ 166, 1813 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1262, "image_height": 881, "name": "szabo_patrik-2022-tour-.png", "type": "image/png", "size": 46452, "path": "Publication:szabo_patrik-2022-tour", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/szabo_patrik-2022-tour/szabo_patrik-2022-tour-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/szabo_patrik-2022-tour/szabo_patrik-2022-tour-:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "szabo_patrik-2022-tour-thesis.pdf", "type": "application/pdf", "size": 2491189, "path": "Publication:szabo_patrik-2022-tour", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/szabo_patrik-2022-tour/szabo_patrik-2022-tour-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/szabo_patrik-2022-tour/szabo_patrik-2022-tour-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/szabo_patrik-2022-tour/", "__class": "Publication" }, { "id": "Vasileva_2022", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/19635", "title": "Immersive Visual Analysis of Time-Dependent Multivariate Data Using Virtual Reality", "date": "2022-02-02", "abstract": "The prevention of Earth disasters like asteroid collisions is a high priority for many organizations and scientists. Studying possible asteroid deflection options and understanding the influencing factors should help domain experts create defense strategies and response plans. For exploration purposes, scientists typically use simulations that represent a real-world process over time and are thus an effective way for demonstrating\nan asteroid impact collision and its after-effects. In this work we use an interactive Virtual Reality (VR) visualization tool to make simulation results comprehensible. Immersive systems like VR are used in different application domains and for multiple purposes,\nsuch as entertainment, medical or military training, rehabilitation and mental therapy, visualization, and visual analytics. With the help of VR software and the necessary hardware of immersive systems, realistic images and 3D scenes from the real world can be rendered to create the feeling of full immersion and presence.\nBased on these considerations, in this work, we develop an interactive visualization tool in VR to support domain experts in studying the properties and features of asteroid impact events for defense purposes. We use time-dependent multivariate Impact simulation data. The implementation requirements are formulated together with domain experts in the form of tasks and represent the main features that the system should include.\nAs a result, the system incorporates a 3D point cloud visualization to illustrate the impact and the data structure and various exploration tools to analyze and examine the point cloud properties. The central tool in the system is called a probe, allowing to measure the characteristics of different regions, compare them, and observe state changes during simulation time. While effective exploration is the primary goal of our\nsystem, interactivity is another important factor contributing to achieving a smooth and natural experience. Therefore, we provide various grasping and navigation techniques to support an intuitive and effortless system interaction. As the selection of exploration tools is essential for the domain experts and for solving their tasks, we first evaluate our\nsystem with them to answer whether the system is providing the necessary features and is fulfilling their requirements. Another important aspect is the interactivity and usability of our system, which we evaluate through a user study. As we show in our evaluation experiments, our VR system eases the exploration process for scientists. It supports them\nin finding new and previously undiscovered properties, patterns, and trends in the data.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1052, "image_height": 312, "name": "Vasileva_2022-Image.JPG", "type": "image/jpeg", "size": 62399, "path": "Publication:Vasileva_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/Vasileva_2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/Vasileva_2022-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1593 ], "co_supervisor": [ 1387 ], "date_end": "2022-02-02", "date_start": "2020-09-02", "diploma_examina": "2022-02-02", "matrikelnr": "01426939", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1052, "image_height": 312, "name": "Vasileva_2022-Image.JPG", "type": "image/jpeg", "size": 62399, "path": "Publication:Vasileva_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/Vasileva_2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/Vasileva_2022-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Vasileva_2022-Master Thesis.pdf", "type": "application/pdf", "size": 20112809, "path": "Publication:Vasileva_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/Vasileva_2022-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/Vasileva_2022-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Vasileva_2022-Poster.pdf", "type": "application/pdf", "size": 3709865, "path": "Publication:Vasileva_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/Vasileva_2022-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/Vasileva_2022-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/", "__class": "Publication" }, { "id": "Pauschenwein_2022", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Real-Time Collision Detection and Handling of Molecules for Animation and Modelling", "date": "2022-01-11", "abstract": "The molecular world is an exciting field of science. Since technology has advanced it is finally possible to discover the arrangements of the single atoms in molecules. With this data, complex systems like viruses, bacteria and cells, made out of millions of atoms can be modeled. Such systems are often called biological mesoscale structures and many visualization techniques have been developed to model them. This is not an easy task as such systems are very complex and need a lot of processing time to render. An essential part of the visualization is the collision detection and resolving as in the real world molecules do not overlap. We reimplemented the Fast Fixed-Radius Nearest Neighbors\nalgorithm that was designed by Hoetzlein to find all colliding pairs of atoms, calculated forces which are then applied on the molecules in order to resolve the overlaps. To test this method we constructed a model of a lipid bilayer and found that it was able to resolve\ncollisions with up to four million atoms in real time. We reviewed further improvements of our algorithm and are positive that it can be used as a efficient collision detection for mesoscale environments.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1774, "image_height": 894, "name": "Pauschenwein_2022-Image.jpg", "type": "image/jpeg", "size": 381206, "path": "Publication:Pauschenwein_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1915 ], "date_end": "2022-01-11", "date_start": "2021-06-01", "matrikelnr": "01427350", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Pauschenwein_2022-Bachelor thesis.pdf", "type": "application/pdf", "size": 6828703, "path": "Publication:Pauschenwein_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Bachelor thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Bachelor thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1774, "image_height": 894, "name": "Pauschenwein_2022-Image.jpg", "type": "image/jpeg", "size": 381206, "path": "Publication:Pauschenwein_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Pauschenwein_2022-Video.mp4", "type": "video/mp4", "size": 15305391, "path": "Publication:Pauschenwein_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/", "__class": "Publication" }, { "id": "Woschizka_2021", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Reference-Frame Computation for Observer-Relative Flow Visualization", "date": "2021-12-23", "abstract": "Scientists and engineers from many domains work with fluid simulation and visualization. These tools help to understand physical phenomena like vortices that occur as weather phenomena, in ocean currents and in aerodynamics. The visualization of flow fields\nprofits from advanced concepts like observer relativity. Existing interactive frameworks for observer-relative visualization need to pre-process the flow data to obtain meaningful reference frames. This pre-processing task is computationally expensive and potentially time consuming for large data sets. In this thesis a method without pre-processing is proposed. Starting at a user specified location we iterate the optimization of the observer field in a small subset of the data, and the integration of the observer worldline to find the next start location. The visualization of the observed pathlines is interleaved with the observer-calculation. The combination of progressive buildup, as well as low-level optimization techniques like caching, prediction, and parallelization, provides an algorithm that visualizes observer-relative flow interactively without the need of pre-processing.\nThe avoidance of pre-processing makes this technique suitable for in-situ scenarios, and for the exploration of the parameter space of optimization techniques that are needed to compute reference-frame candidates. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 383, "image_height": 244, "name": "Woschizka_2021-image.PNG", "type": "image/png", "size": 44639, "path": "Publication:Woschizka_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Woschizka_2021/Woschizka_2021-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Woschizka_2021/Woschizka_2021-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1903 ], "date_end": "2021-12-23", "date_start": "2021-02-12", "matrikelnr": "11809612", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor theses", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Woschizka_2021-Bachelor theses.pdf", "type": "application/pdf", "size": 19966871, "path": "Publication:Woschizka_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Woschizka_2021/Woschizka_2021-Bachelor theses.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Woschizka_2021/Woschizka_2021-Bachelor theses:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 383, "image_height": 244, "name": "Woschizka_2021-image.PNG", "type": "image/png", "size": 44639, "path": "Publication:Woschizka_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Woschizka_2021/Woschizka_2021-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Woschizka_2021/Woschizka_2021-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Woschizka_2021/", "__class": "Publication" }, { "id": "Alharbi_2021", "type_id": "journalpaper_notalk", "tu_id": 300116, "repositum_id": "20.500.12708/138522", "title": "Nanotilus: Generator of Immersive Guided-Tours in Crowded 3D Environments", "date": "2021-12-09", "abstract": "Immersive virtual reality environments are gaining popularity for studying and exploring crowded three-dimensional structures. When reaching very high structural densities, the natural depiction of the scene produces impenetrable clutter and requires visibility and occlusion management strategies for exploration and orientation. Strategies developed to address the crowdedness in desktop applications, however, inhibit the feeling of immersion. They result in nonimmersive, desktop-style outside-in viewing in virtual reality. This paper proposesNanotilus---a new visibility and guidance approach for very dense environments that generates an endoscopic inside-out experience instead of outside-in viewing, preserving the immersive aspect of virtual reality. The approach consists of two novel, tightly coupled mechanisms that control scene sparsification simultaneously with camera path planning. The sparsification strategy is localized around the camera and is realized as a multiscale, multishell, variety-preserving technique. When Nanotilus dives into the structures to capture internal details residing on multiple scales, it guides the camera using depth-based path planning. In addition to sparsification and path planning, we complete the tour generation with an animation controller, textual annotation, and text-to-visualization conversion. We demonstrate the generated guided tours on mesoscopic biological models -- SARS-CoV-2 and HIV viruses. We evaluate the Nanotilus experience with a baseline outside-in sparsification and navigational technique in a formal user study with 29 participants. While users can maintain a better overview using the outside-in sparsification, the study confirms our hypothesis that Nanotilus leads to stronger engagement and immersion.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 540, "image_height": 273, "name": "Alharbi_2021-Image.JPG", "type": "image/jpeg", "size": 46269, "path": "Publication:Alharbi_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/Alharbi_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/Alharbi_2021-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1791, 1789, 1577, 1110, 1383, 1891, 1285, 166, 171 ], "doi": "10.1109/TVCG.2021.3133592", "first_published": "2021-12-09", "journal": "IEEE Transactions on Visualization and Computer Graphics", "open_access": "yes", "pages_from": "1", "pages_to": "16", "research_areas": [ "BioVis", "IllVis", "VR" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 540, "image_height": 273, "name": "Alharbi_2021-Image.JPG", "type": "image/jpeg", "size": 46269, "path": "Publication:Alharbi_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/Alharbi_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/Alharbi_2021-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Alharbi_2021-Paper.pdf", "type": "application/pdf", "size": 14837965, "path": "Publication:Alharbi_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/Alharbi_2021-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/Alharbi_2021-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/", "__class": "Publication" }, { "id": "Zaufel_2021", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/19636", "title": "Agent Based Pedestrian Simulation in Visdom", "date": "2021-11-27", "abstract": "In this thesis a new pedestrian simulation plugin for the Visdom visualization system is presented. First the general layout of such a system is discussed using a layered system. Different candidates for these layers are presented and the best fitting one for the use are\npicked. For the tactical layer a fastest-path algorithm is used whilst for the operational layer a modified ORCA (Optimal Reciprocal Collision Avoidance) algorithm has been implemented. These will be discussed in detail.\nWe will also talk about the visualization of the simulation state. Both the kind of representation for different objects in the world, as well as additional visualizations that aim to help the operator to gain insight, are going to be presented.\nThen the implementation itself is going to be discussed. Especially how the different layers are integrated into the Visdom application. \nIn the last chapter the results are presented. First the system will be validated using the RiMEA test cases and then a real world case study showcases the capabilities of the proposed system.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1077, "image_height": 693, "name": "Zaufel_2021-Image.JPG", "type": "image/jpeg", "size": 88610, "path": "Publication:Zaufel_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-Image:thumb{{size}}.png" }, "sync_repositum_override": "title,abstract,date,keywords", "repositum_presentation_id": null, "authors": [ 1176 ], "ac_number": "AC16454248", "date_end": "2021-11-27", "date_start": "2020-08-21", "diploma_examina": "2021-11-27", "doi": "10.34726/hss.2022.48167", "matrikelnr": "00925357", "open_access": "yes", "pages": "112", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [ "pedestrian simulation", "visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1077, "image_height": 693, "name": "Zaufel_2021-Image.JPG", "type": "image/jpeg", "size": 88610, "path": "Publication:Zaufel_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Zaufel_2021-Master Thesis.pdf", "type": "application/pdf", "size": 12658853, "path": "Publication:Zaufel_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Zaufel_2021-Poster.pdf", "type": "application/pdf", "size": 3196620, "path": "Publication:Zaufel_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-Poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Zaufel_2021-thesis.pdf", "type": "application/pdf", "size": 5279882, "path": "Publication:Zaufel_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/", "__class": "Publication" }, { "id": "kouril-2021-molecumentary", "type_id": "journalpaper", "tu_id": 300120, "repositum_id": "20.500.12708/138523", "title": "Molecumentary: Adaptable Narrated Documentaries Using Molecular Visualization", "date": "2021-11-25", "abstract": "We present a method for producing documentary-style content using real-time scientific visualization. We introduce molecumentaries, i.e., molecular documentaries featuring structural models from molecular biology, created through adaptable methods instead of the rigid traditional production pipeline. Our work is motivated by the rapid evolution of scientific visualization and it potential in science dissemination. Without some form of explanation or guidance, however, novices and lay-persons often find it difficult to gain insights from the visualization itself. We integrate such knowledge using the verbal channel and provide it along an engaging visual presentation. To realize the synthesis of a molecumentary, we provide technical solutions along two major production steps: (1) preparing a story structure and (2) turning the story into a concrete narrative. In the first step, we compile information about the model from heterogeneous sources into a story graph. We combine local knowledge with external sources to complete the story graph and enrich the final result. In the second step, we synthesize a narrative, i.e., story elements presented in sequence, using the story graph. We then traverse the story graph and generate a virtual tour, using automated camera and visualization transitions. We turn texts written by domain experts into verbal representations using text-to-speech functionality and provide them as a commentary. Using the described framework, we synthesize fly-throughs with descriptions: automatic ones that mimic a manually authored documentary or semi-automatic ones which guide the documentary narrative solely through curated textual input.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "overview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 943, "image_height": 399, "name": "kouril-2021-molecumentary-overview.png", "type": "image/png", "size": 224541, "path": "Publication:kouril-2021-molecumentary", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/kouril-2021-molecumentary-overview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/kouril-2021-molecumentary-overview:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1383, 1789, 935, 1665, 960, 166, 171 ], "cfp": { "name": "TVCG_information_for_authors.pdf", "type": "application/pdf", "error": "0", "size": "220828", "orig_name": "TVCG_information_for_authors.pdf", "ext": "pdf" }, "date_from": "2021-11-15", "date_to": "2021-11-15", "doi": "10.1109/TVCG.2021.3130670", "event": "IEEE Vis 2022", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1383 ], "note": "To appear (Early Access)", "open_access": "yes", "pages_from": "1", "pages_to": "1", "volume": "1", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "Virtual tour", "audio", "biological data", "storytelling", "illustrative visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "overview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 943, "image_height": 399, "name": "kouril-2021-molecumentary-overview.png", "type": "image/png", "size": 224541, "path": "Publication:kouril-2021-molecumentary", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/kouril-2021-molecumentary-overview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/kouril-2021-molecumentary-overview:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "kouril-2021-molecumentary-paper.pdf", "type": "application/pdf", "size": 25205347, "path": "Publication:kouril-2021-molecumentary", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/kouril-2021-molecumentary-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/kouril-2021-molecumentary-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/", "__class": "Publication" }, { "id": "Dhanoa_2021", "type_id": "journalpaper_notalk", "tu_id": 300187, "repositum_id": "20.500.12708/138541", "title": "Fuzzy Spreadsheet: Understanding and Exploring Uncertainties in Tabular Calculations ", "date": "2021-10-11", "abstract": "Spreadsheet-based tools provide a simple yet effective way of calculating values, which makes them the number-one choice for building and formalizing simple models for budget planning and many other applications. A cell in a spreadsheet holds one specific value and gives a discrete, overprecise view of the underlying model. Therefore, spreadsheets are of limited use when investigating the inherent uncertainties of such models and answering what-if questions. Existing extensions typically require a complex modeling process that cannot easily be embedded in a tabular layout. In Fuzzy Spreadsheet, a cell can hold and display a distribution of values. This integrated uncertainty-handling immediately conveys sensitivity and robustness information. The fuzzification of the cells enables calculations not only with precise values but also with distributions, and probabilities. We conservatively added and carefully crafted visuals to maintain the look and feel of a traditional spreadsheet while facilitating what-if analyses. Given a user-specified reference cell, Fuzzy Spreadsheet automatically extracts and visualizes contextually relevant information, such as impact, uncertainty, and degree of neighborhood, for the selected and related cells. To evaluate its usability and the perceived mental effort required, we conducted a user study. The results show that our approach outperforms traditional spreadsheets in terms of answer correctness, response time, and perceived mental effort in almost all tasks tested. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 532, "image_height": 431, "name": "Dhanoa_2021-Image.JPG", "type": "image/jpeg", "size": 30593, "path": "Publication:Dhanoa_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Dhanoa_2021/Dhanoa_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Dhanoa_2021/Dhanoa_2021-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1892, 1893, 1895, 166, 1896 ], "doi": "10.1109/TVCG.2021.3119212 ", "first_published": "2021-10-11", "journal": "IEEE Transactions on Visualization and Computer Graphics", "open_access": "yes", "pages_from": "1", "pages_to": "15", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 532, "image_height": 431, "name": "Dhanoa_2021-Image.JPG", "type": "image/jpeg", "size": 30593, "path": "Publication:Dhanoa_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Dhanoa_2021/Dhanoa_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Dhanoa_2021/Dhanoa_2021-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Dhanoa_2021-Paper.pdf", "type": "application/pdf", "size": 2802801, "path": "Publication:Dhanoa_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Dhanoa_2021/Dhanoa_2021-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Dhanoa_2021/Dhanoa_2021-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Dhanoa_2021/", "__class": "Publication" }, { "id": "Zeng_2021", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Data-Driven Colormap Adjustment for Exploring Spatial Variations in Scalar Fields", "date": "2021-09-01", "abstract": "Colormapping is an effective and popular visualization technique for analyzing patterns in scalar fields. Scientists usually adjust a default colormap to show hidden patterns by shifting the colors in a trial-and-error process. To improve efficiency, efforts have been made to automate the colormap adjustment process based on data properties (e.g., statistical data value or distribution). However, as the data properties have no direct correlation to the spatial variations, previous methods may be insufficient to reveal the dynamic range of spatial variations hidden in the data. To address the above issues, we conduct a pilot analysis with domain experts and summarize three requirements for the colormap adjustment process. Based on the requirements, we formulate colormap adjustment as an objective function, composed of a boundary term and a fidelity term, which is flexible enough to support interactive functionalities. We compare our approach with alternative methods under a quantitative measure and a qualitative user study (25 participants), based on a set of data with broad distribution diversity. We further evaluate our approach via three case studies with six domain experts. Our method is not necessarily more optimal than alternative methods of revealing patterns, but rather is an additional color adjustment option for exploring data with a dynamic range of spatial variations.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 576, "image_height": 323, "name": "Zeng_2021-Image.JPG", "type": "image/jpeg", "size": 41637, "path": "Publication:Zeng_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/Zeng_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/Zeng_2021-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1883, 1884, 1590, 1885, 1886, 171, 1887 ], "doi": "10.1109/TVCG.2021.3109014", "journal": "IEEE Transactions on Visualization and Computer Graphics", "open_access": "yes", "pages_from": "1", "pages_to": "15", "volume": "9", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 576, "image_height": 323, "name": "Zeng_2021-Image.JPG", "type": "image/jpeg", "size": 41637, "path": "Publication:Zeng_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/Zeng_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/Zeng_2021-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Zeng_2021-Paper.pdf", "type": "application/pdf", "size": 23696916, "path": "Publication:Zeng_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/Zeng_2021-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/Zeng_2021-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/", "__class": "Publication" }, { "id": "pahr-2021-vologram", "type_id": "inproceedings", "tu_id": 300436, "repositum_id": "20.500.12708/58633", "title": "Vologram: An Educational Holographic Sculpture for Volumetric Medical Data Physicalization", "date": "2021-09", "abstract": "Real-world sculptures that display patient imaging data for anatomical education purposes have seen a recent resurgence through the field of data physicalization. In this paper, we describe an automated process for the computer-assisted generation of sculptures that can be employed for anatomical education among the general population. We propose a workflow that supports non-expert users to generate and physically display volumetric medical data in a visually appealing and engaging way. Our approach generates slide-based, interactive sculptures-called volograms-that resemble holograms of underlying medical data. The volograms are made out of affordable and readily available materials (e.g., transparent foils and cardboard) and can be produced through commonly available means. To evaluate the educational value of the proposed approach with our target audience, we assess the volograms, as opposed to classical, on-screen medical visualizations in a user study. The results of our study, while highlighting current weaknesses of our physicalization, also point to interesting future directions.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 4032, "image_height": 3024, "name": "pahr-2021-vologram-Image.JPG", "type": "image/jpeg", "size": 954594, "path": "Publication:pahr-2021-vologram", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Image:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1813, 1464, 1410 ], "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine", "cfp": { "name": "Full, Short & Survey Papers – VCBM 2021.pdf", "type": "application/pdf", "error": "0", "size": "446938", "orig_name": "Full, Short & Survey Papers – VCBM 2021.pdf", "ext": "pdf" }, "doi": "10.2312/vcbm.20211341", "event": "Eurographics Workshop on Visual Computing for Biology and Medicine", "issn": "2070-5786", "journal": "Eurographics Workshop on Visual Computing for Biology and Medicine", "lecturer": [ 1813 ], "pages": "5", "pages_from": "19", "pages_to": "23", "publisher": "Eurographics Association", "volume": "VCBM 2021", "research_areas": [ "Fabrication", "IllVis", "MedVis" ], "keywords": [ "Physicalization", "Anatomy Education" ], "weblinks": [ { "href": "https://doi.org/10.2312/vcbm.20211341", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 4032, "image_height": 3024, "name": "pahr-2021-vologram-Image.JPG", "type": "image/jpeg", "size": 954594, "path": "Publication:pahr-2021-vologram", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "pahr-2021-vologram-Video.mp4", "type": "video/mp4", "size": 138438430, "path": "Publication:pahr-2021-vologram", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/", "__class": "Publication" }, { "id": "Troidl_2021", "type_id": "masterthesis", "tu_id": 300521, "repositum_id": "20.500.12708/18083", "title": "Spatial Neighborhood Analysis and Comparison for Nanoscale Brain Structures", "date": "2021-06-04", "abstract": "Recent high-resolution electron microscopy imaging allows neuroscientists to reconstruct not just entire cells but individual cell substructures (i.e., cell organelles) as well. Based on these data, scientists hope to get a better understanding of brain function and development through detailed analysis of local organelle neighborhoods. However, in-depth analyses require efficient and scalable comparison of a varying number of cell organelles, ranging from two to hundreds of local spatial neighborhoods. Scientists need to be able to analyze the 3D morphologies of organelles, their spatial distributions and\ndistances, and their spatial correlations. This thesis’s central premise is that it is hard to provide a one-size-fits-all comparative visualization solution to support the given broad range of tasks and scales.\nTo address this challenge, we have designed NeuroKit as an easily configurable toolkit that allows scientists to customize the tool’s workflow, visualizations, and supported user interactions to their specific tasks and domain questions. Furthermore, NeuroKit provides a scalable comparative visualization approach for spatial neighborhood analysis of nanoscale brain structures.\nNeuroKit supports small multiples of spatial 3D renderings as well as abstract quantitative visualizations, and arranges them in linked and juxtaposed views. To adapt to new domain-specific analysis scenarios, we allow the definition of individualized visualizations and their parameters for each analysis session. This configurability is tied in with a novel scalable visual comparison approach that automatically adjusts visualizations based on the number of structures that are being compared. We demonstrate an in-depth use case for mitochondria analysis in neuronal tissue and analyze the usefulness of NeuroKit in a qualitative user study with neuroscientists.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2409, "image_height": 1405, "name": "Troidl_2021-image.png", "type": "image/png", "size": 388000, "path": "Publication:Troidl_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/Troidl_2021-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/Troidl_2021-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1659 ], "date_end": "2021-06-04", "date_start": "2020-07-01", "diploma_examina": "2021-06-04", "doi": "10.34726/hss.2021.73868", "matrikelnr": "01525071", "open_access": "yes", "pages": "98", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [ "Comparative Visualization", "Computational Neuroscience" ], "weblinks": [ { "href": "https://www.youtube.com/watch?v=cKvuucM3Uoc", "caption": "Video", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2409, "image_height": 1405, "name": "Troidl_2021-image.png", "type": "image/png", "size": 388000, "path": "Publication:Troidl_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/Troidl_2021-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/Troidl_2021-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Troidl_2021-Master Thesis.pdf", "type": "application/pdf", "size": 23037648, "path": "Publication:Troidl_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/Troidl_2021-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/Troidl_2021-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Troidl_2021-Poster.pdf", "type": "application/pdf", "size": 5587850, "path": "Publication:Troidl_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/Troidl_2021-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/Troidl_2021-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/", "__class": "Publication" }, { "id": "scholz_2021", "type_id": "masterthesis", "tu_id": 300523, "repositum_id": "20.500.12708/17807", "title": "A Modular Domain-Specific Language for Interactive 3D Visualization ", "date": "2021-05-10", "abstract": "Visualizing data is an integral part of many scientific disciplines. Due to the complexity of 3D visualizations, their creation usually requires visualization experts. This thesis proposes a system for specifying visualizations without requiring in-depth knowledge about computer graphics. Instead, visualizations are defined in a domain-specific language. This language enables users to easily create and edit 3D visualizations on their own. The language provides configuration capabilities for all aspects of the visualization pipeline, ranging from data transformation up to rendering. Configuring the visualization pipeline is facilitated through a versatile extension mechanism, allowing the definition of modules. Pre-defined modules provide a wide range of 3D visualization techniques, such as volumes or point clouds. Additionally, users can create new modules to support other visualization techniques. Our visualization description is a declarative language specified in a human-readable text format. Due to this format, visualizations created with our language are simple to store and share. Using a text-based format is a natural method for communicating information over the web. Hence, it makes our visualization description easily transferable. Interactivity is another crucial aspect of 3D visualization that our language supports. User events emit messages that the visualization can then use to modify itself. The message system also makes it possible to visualize dynamic data. Modifications of the visualizations pass through our system to automatically analyze the changes. Then just the needed subset of rendering calls to achieve the change execute. With this approach, GPU resources like shaders, buffers, and textures only update when required. This strategy enhances rendering performance and hides implementation detail from the user making the system easier approachable. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 3840, "image_height": 2160, "name": "scholz_2021-image.png", "type": "image/png", "size": 1337287, "path": "Publication:scholz_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/scholz_2021-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/scholz_2021-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1616 ], "co_supervisor": [ 1387 ], "date_end": "2021-05-10", "date_start": "2020-07-10", "diploma_examina": "2021-05-10", "doi": "10.34726/hss.2021.80484", "matrikelnr": "01527434", "open_access": "yes", "pages": "104", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [ "DSL", "visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 3840, "image_height": 2160, "name": "scholz_2021-image.png", "type": "image/png", "size": 1337287, "path": "Publication:scholz_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/scholz_2021-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/scholz_2021-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "scholz_2021-Master Thesis.pdf", "type": "application/pdf", "size": 10756705, "path": "Publication:scholz_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/scholz_2021-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/scholz_2021-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "scholz_2021-Poster.pdf", "type": "application/pdf", "size": 5250569, "path": "Publication:scholz_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/scholz_2021-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/scholz_2021-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/", "__class": "Publication" }, { "id": "kouril-2021-phdthesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/17725", "title": "Interactive Visualization of Dense and Multi-Scale Data for Science Outreach", "date": "2021-04", "abstract": "This thesis focuses on the problem of navigating complex 3D models composed of large numbers of molecular instances packed densely in the three-dimensional space. Due to the large environment encompassing several magnitudes of scale, the traditional navigational paradigms applied in real-time computer graphics are becoming insufficient when applied to biological environments. In the first part of the thesis, I analyze navigation challenges presented by such a use case and recognize several modes of navigation that can be employed when interfacing a complex 3D visualization system with the end-user. We discuss three such modes of navigation: augmentive, declarative, and automative. First, in augmentive navigation, the user is given fully manual control over all aspects of navigation, such as controlling the camera's position and rotation, or the visibility of the individual model's parts. Their manual exploration is, however, augmented by automatically deployed annotation to help make sense of the environment. In declarative navigation, the user interaction is simplified to declaring their target. The visualization system then takes over the low-level controls of the visualization, e.g., camera path animation and scene visibility transition, which are computed to navigate the user directly to their declared target. The third stage, automative navigation, relieves the user from even this responsibility and places the choice of what gets shown to an algorithmic solution. In this case, such automated fly-through can then be guided by a specific storyline. In the second part of the thesis, I present specific methods addressing technical gaps and contributing to realizing the navigational stages presented in the first part. I start by introducing an approach for textual labeling of multi-scale molecular models inspired by the level-of-detail concept. That way, a scenario of augmentive navigation is provided. Second, I propose a navigational method for traversing a dense molecular model with a hierarchical organization, implementing the declarative navigation concept. The presented method uses textual labels for browsing the three-dimensional model, essentially providing a way of traversing the hierarchical organization and exploring the spatial characteristics of the model. Finally, I propose a pipeline for producing automated tours of molecular models, demonstrating the automative navigation mode.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2854, "image_height": 1266, "name": "kouril-2021-phdthesis-teaser.png", "type": "image/png", "size": 4190080, "path": "Publication:kouril-2021-phdthesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-phdthesis/kouril-2021-phdthesis-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-phdthesis/kouril-2021-phdthesis-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1383 ], "date_end": "2021-04", "date_start": "2017-03", "doi": "10.34726/hss.2021.91703", "open_access": "yes", "pages": "123", "reviewer_1": [ 1448 ], "reviewer_2": [ 563 ], "rigorosum": "2021-04-07", "supervisor": [ 171 ], "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "biological", "visualization", "multi-scale", "dense", "navigation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2854, "image_height": 1266, "name": "kouril-2021-phdthesis-teaser.png", "type": "image/png", "size": 4190080, "path": "Publication:kouril-2021-phdthesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-phdthesis/kouril-2021-phdthesis-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-phdthesis/kouril-2021-phdthesis-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kouril-2021-phdthesis-thesis.pdf", "type": "application/pdf", "size": 80152274, "path": "Publication:kouril-2021-phdthesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-phdthesis/kouril-2021-phdthesis-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-phdthesis/kouril-2021-phdthesis-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-phdthesis/", "__class": "Publication" }, { "id": "schmidlehner2021", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Standards-based Clinical Data Repository", "date": "2021-03-10", "abstract": "During the treatment process of a patient the physician usually requests a Laboratory Report (e.g. a blood count) from the laboratory. The delivery of the Laboratory Report is ususally performed via fax or letter to the treating physician. The structured laboratory data, which were initially generated by the laboratory, are not available for the physician. Furthermore, the physician has to import the Laboratory Report manually to the Electronic Medical Record (EMR) system. Thus, enabling the electronic data exchange between a laboratory and relevant healthcare providers improves the current treatment processes.\nThe aim was the connection between a laboratory and an existing distributed Health Information Exchange (HIE), where several healthcare providers are connected to exchange medical docu-ments via the Cross-Enterprise Document Sharing (XDS) profile. A challenge was to perform the integration transparently with existing established exchange mechanisms and interfaces. While the Laboratory Information System (LIS) sends laboratory data via Health Level 7 (HL7) V2 messages over Transmission Control Protocol/Internet Protocol (TCP/IP), the HIE follows the document-based approach, and exchanges documents via XDS transactions over SOAP 1.2.\nA Clinical Data Repository (CDR) has been established for the storage and management of the laboratory data as Fast Healthcare Interoperability Resources (FHIR) resources. Furthermore, a Health Service Bus (HSB) has been developed to support the communication between the LIS, the CDR, and the HIE participating systems and components. The Clinical Document Architecture (CDA) standard was used to create a structured laboratory document, which has been exchanged with the participating healthcare providers of the HIE. The HSB integrates translation engines, which are responsible for the mapping from HL7 V2 messages into FHIR resources and further from FHIR resources into CDA documents.\nThe integration of the laboratory with the HIE was successful. An adequate mapping between the HL7 V2, FHIR, and CDA standards has been specified. Gaps between the particular standards have been identified and if necessary, an extension of the data structure has been defined. FHIR has proven its suitability as a flexible and robust storage format and its ability to provide the appropriate data structure to map laboratory data from HL7 V2 and convert FHIR resources to a CDA document.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 805, "image_height": 412, "name": "schmidlehner2021-image.JPG", "type": "image/jpeg", "size": 34864, "path": "Publication:schmidlehner2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/schmidlehner2021-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/schmidlehner2021-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1357 ], "date_end": "2021-03-10", "date_start": "2020-07-02", "diploma_examina": "2021-03-10", "matrikelnr": "0626031", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 805, "image_height": 412, "name": "schmidlehner2021-image.JPG", "type": "image/jpeg", "size": 34864, "path": "Publication:schmidlehner2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/schmidlehner2021-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/schmidlehner2021-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "schmidlehner2021-Master Thesis.pdf", "type": "application/pdf", "size": 1948814, "path": "Publication:schmidlehner2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/schmidlehner2021-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/schmidlehner2021-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "schmidlehner2021-Poster.pdf", "type": "application/pdf", "size": 134794, "path": "Publication:schmidlehner2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/schmidlehner2021-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/schmidlehner2021-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/", "__class": "Publication" }, { "id": "Ortner_PhD", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/18026", "title": "Tight Integration of Visual Analysis and 3D Real-Time Rendering", "date": "2020-12-29", "abstract": "In many domains, such as urban planning, civil engineering, or disaster management, analysts\nneed to deal with complex geometric data that also contain multivariate attributes. In addition to\nthe visual analysis of the attribute data, typical tasks involve the localization and understanding\nof shapes, and judging spatial relations between geometric objects and the surrounding geometry,\nas for instance a digital terrain model. One way to address this in a visualization design is with\ncoordinated multiple views, combining a 3D geometric view and attribute views by brushing\n& linking. However, a naive coordination of such views highlights challenges inherent to 3D\nvisualization, as brushed objects may be occluded or lie outside of the current viewing volume.\nThis can easily lead to disorientation and failing of localization, shape understanding, and spatial\nrelation tasks, which ultimately breaks the iterative analysis loop provided through coordinated\nmultiple views.\nIn this thesis we explore different visual integration approaches for combining geometric and\nattribute views with respect to three application domains. In the first chapter, we deal with the\ndomain of tunnel inspection and documentation, concerned with revealing patterns in tunnel\ncrack data. We integrate a 3D geometric view with multiple attribute views to a coordinated\nmultiple view solution and present several domain-specific visualization and interaction strategies\nto overcome the aforementioned challenges. We conclude the chapter with a methodological\nframework that provides visualization designers with integration guidelines regarding ‘Guided\nNavigation’, ‘Enhanced Geometric Rendering’, and ‘Similarity-based Analysis’.\nIn the second chapter, we explore the potential visual impact of candidate buildings to a cityscape\nin the context of visibility-aware urban planning. We present the visualization system Vis-A-Ware\nto qualitatively and quantitatively evaluate and compare visibility data of candidate buildings\nwith respect to a large number of viewpoints. Vis-A-Ware features a 3D view of an urban scene\nand a novel ranking view to compare and filter candidates with respect to visual impact data\nderived from visibility evaluations. The ranking view is tightly integrated with the other views\nfor qualitative evaluation and to judge spatial relations in the cityscape. We provide users with a\nworkflow to ultimately arrive at a small set of candidates supporting a jury-based decision-making\nprocess.\nIn the third chapter, we are concerned with the domain of geological analysis of digital outcrop\nmodels (DOMs) which plays an essential role in the current NASA and ESA missions seeking\nsigns of past life on Mars. Geologists interpret and measure DOMs, create sedimentary logs, and\ncombine them in ‘correlation panels’. Currently, the creation of correlation panels is manual and therefore time-consuming, and inflexible. With InCorr we present a visualization solution that\nencompasses a 3D logging tool and an interactive data-driven correlation panel that evolves with\nthe stratigraphic analysis. Correlation panels are an important part of geological publications.\nWith InCorr we provide geologists with an interactive correlation panel that is reproducible and\ntakes significantly less effort to create.\nThe results of this thesis demonstrate that the tight integration of 3D geometric and attribute\nviews is essential for certain domains and needs to be approached in a methodological way with\nthoughtful visualization and interaction design.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 510, "image_height": 341, "name": "Ortner_PhD-image.JPG", "type": "image/jpeg", "size": 47751, "path": "Publication:Ortner_PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner_PhD/Ortner_PhD-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner_PhD/Ortner_PhD-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1277 ], "doi": "10.34726/hss.2021.92046", "duration": "4", "matrikelnr": "00928153", "open_access": "yes", "pages": "116", "reviewer_1": [ 1690 ], "reviewer_2": [ 1248 ], "rigorosum": "2021-03-12", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [ "Interactive Visualization", "Integration Spatial and Non-Spatial Data Visualization", "Methodology" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 510, "image_height": 341, "name": "Ortner_PhD-image.JPG", "type": "image/jpeg", "size": 47751, "path": "Publication:Ortner_PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner_PhD/Ortner_PhD-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner_PhD/Ortner_PhD-image:thumb{{size}}.png" }, { "description": null, "filetitle": "PhD thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Ortner_PhD-PhD thesis.pdf", "type": "application/pdf", "size": 59685331, "path": "Publication:Ortner_PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner_PhD/Ortner_PhD-PhD thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner_PhD/Ortner_PhD-PhD thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner_PhD/", "__class": "Publication" }, { "id": "Gogel2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/16605", "title": "Visualization-Guided Classification of Carbonized Seeds from Early Human Civilizations", "date": "2020-11-25", "abstract": "Since the Neolithic Revolution approximately 10.000 years ago, crop plants are an important part of our food. Researchers of archeobotany try to find and determine the species that humankind used already in the past. Most of the gathered samples are preserved due to carbonization, but the shape and inner structures are deformed because of this process. The amount of distortion is given by the temperature and the time they are heated. Normally, an expert is consulted to classify them. Since there are only a few experts in this field, an automatic approach is requested. The result of this work is a software, which can load the Computed Tomography (CT) scans, segment and separate the seeds within the samples, calculate different shape features as descriptors, and train a classifier. To have an overview of how the seeds look like, different volume visualizations are available to show selected samples or median seeds of each class. To validate the probabilities of the learner, additional visualizations are available, which show the influence of the extracted features on the classification. A cross validation method with 1043 known samples results in a classification accuracy of 85 %. The incorrectly classified samples of the ground truth are visualized to display the expert user where they are located regard to the extracted features and which results are especially inaccurate. It turned out, that the opportunity to export the features into a tabular filetype and the visualization of the output probabilities of the classifier for each species were particularly helpful for the domain experts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 638, "image_height": 331, "name": "Gogel2020-Image.JPG", "type": "image/jpeg", "size": 29779, "path": "Publication:Gogel2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/Gogel2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/Gogel2020-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1617 ], "co_supervisor": [ 1110 ], "date_end": "2020-11-25", "date_start": "2020-01-12", "diploma_examina": "2020-12-15", "doi": "10.34726/hss.2021.62641", "matrikelnr": "0801243", "open_access": "yes", "pages": "105", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [ "Visualization-Guided Classification", "Ancient Seeds" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 638, "image_height": 331, "name": "Gogel2020-Image.JPG", "type": "image/jpeg", "size": 29779, "path": "Publication:Gogel2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/Gogel2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/Gogel2020-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Gogel2020-Master Thesis.pdf", "type": "application/pdf", "size": 11583640, "path": "Publication:Gogel2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/Gogel2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/Gogel2020-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Gogel2020-Poster.pdf", "type": "application/pdf", "size": 3402234, "path": "Publication:Gogel2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/Gogel2020-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/Gogel2020-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/", "__class": "Publication" }, { "id": "Ortner2020", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/55606", "title": "InCorr: Interactive Data-Driven Correlation Panels for Digital Outcrop Analysis", "date": "2020-11-25", "abstract": "Geological analysis of 3D Digital Outcrop Models (DOMs) for reconstruction of ancient habitable environments is a key aspect of the upcoming ESA ExoMars 2022 Rosalind Franklin Rover and the NASA 2020 Rover Perseverance missions in seeking signs of past life on Mars. Geologists measure and interpret 3D DOMs, create sedimentary logs and combine them in ‘correlation panels’ to map the extents of key geological horizons, and build a stratigraphic model to understand their position in the ancient landscape. Currently, the creation of correlation panels is completely manual and therefore time-consuming, and inflexible. With InCorr we present a visualization solution that encompasses a 3D logging tool and an interactive data-driven correlation panel that evolves with the stratigraphic analysis. For the creation of InCorr we closely cooperated with leading planetary geologists in the form of a design study. We verify our results by recreating an existing correlation analysis with InCorr and validate our correlation panel against a manually created illustration. Further, we conducted a user-study with a wider circle of geologists. Our evaluation shows that InCorr efficiently supports the domain experts in tackling their research questions and that it has the potential to significantly impact how geologists work with digital outcrop representations in general.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 453, "image_height": 323, "name": "Ortner2020-Image.JPG", "type": "image/jpeg", "size": 47209, "path": "Publication:Ortner2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner2020/Ortner2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner2020/Ortner2020-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1277, 1494, 1817, 1818, 1819, 166 ], "cfp": { "name": "Papers - Call For Participation VAST 2020.pdf", "type": "application/pdf", "error": "0", "size": "797195", "orig_name": "Papers - Call For Participation VAST 2020.pdf", "ext": "pdf" }, "date_from": "2020-10", "date_to": "2020-10", "doi": "10.1109/TVCG.2020.3030409", "event": "VAST 2020: IEEE Symposium on Visual Analytics Science and Technology", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1277 ], "open_access": "yes", "pages_from": "1", "pages_to": "10", "volume": "21", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 453, "image_height": 323, "name": "Ortner2020-Image.JPG", "type": "image/jpeg", "size": 47209, "path": "Publication:Ortner2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner2020/Ortner2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner2020/Ortner2020-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Ortner2020-Paper.pdf", "type": "application/pdf", "size": 16071836, "path": "Publication:Ortner2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner2020/Ortner2020-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner2020/Ortner2020-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner2020/", "__class": "Publication" }, { "id": "Heim_2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/16606", "title": "Visual Comparison of Multivariate Data Ensembles", "date": "2020-11-24", "abstract": "In safety-critical areas such as aeronautics, but also in other sectors such as the leisure industry, the advancement of respective products is largely driven by the improvement of the materials used. In order to analyze the targeted properties of these new materials, data of the internal structures is generated, using imaging techniques such as X-ray computed tomography (XCT), which is then analyzed in detail using segmentation and quantification algorithms. For materials scientists, the exact design of the internal structures is crucial for the characterization of materials and a comparison of several material candidates based on their characteristics is therefore indispensable for the investigation of di˙erent manufacturing and optimization processes or property behavior.\nCurrently, material scientists are dependent on sequential comparisons when analyzing several material candidates. Distributions of the individual attributes across the material systems need to be compared, which is why this task is typically cognitively demanding, time consuming, and thus error-prone. This work aims to support domain experts in their daily tasks of analysing large ensembles of material data. For this purpose we developed a comparative visualization framework that provides a holistic picture of similarities and dissimilarities in the data by means of an overview visualization and three detailed visualization techniques. Using the dimension reduction method Multidimensional Scaling, the individual structures are summarized and rendered in a table-based visualization technique called Histogram-Table. Information, describing in which attributes the structures are most similar as well as their exact characteristics, is evaluated by statistical calculations, the results of which are visualized in a bar chart and box plot. Finally, the linear correlations between the individual characteristics can be explored in a correlation map. We present the usability of this visualization system by means of three concrete usage scenarios and verify its applicability by means of a qualitative study with 12 material experts. The knowledge gained from our work represents a significant step in the field of comparative material analysis of high-dimensional data and supports experts in making their work easier and more eÿcient.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 262, "image_height": 520, "name": "Heim_2020-Image.JPG", "type": "image/jpeg", "size": 29877, "path": "Publication:Heim_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/Heim_2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/Heim_2020-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1354 ], "co_supervisor": [ 611 ], "date_end": "2020-11-24", "date_start": "2020-01-12", "diploma_examina": "2020-11-24", "matrikelnr": "01226809", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 262, "image_height": 520, "name": "Heim_2020-Image.JPG", "type": "image/jpeg", "size": 29877, "path": "Publication:Heim_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/Heim_2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/Heim_2020-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Heim_2020-Master Thesis.pdf", "type": "application/pdf", "size": 20005273, "path": "Publication:Heim_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/Heim_2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/Heim_2020-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Heim_2020-Poster.pdf", "type": "application/pdf", "size": 889017, "path": "Publication:Heim_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/Heim_2020-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/Heim_2020-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/", "__class": "Publication" }, { "id": "Antonini2020", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/141814", "title": "Spinel web: an interactive web application for visualizing the chemical composition of spinel group minerals", "date": "2020-11-23", "abstract": "The spinel group minerals provide useful information regarding the geological environment in which the host rocks were formed, constituting excellent petrogenetic indicators, and guides in the search for mineral deposits of economic interest. In this article, we present the Spinel Web, a web application to visualize the chemical composition of spinel group minerals. Spinel Web integrates most of the diagrams commonly used for analyzing the chemical characteristics of the spinel group minerals. It incorporates parallel coordinates and a 3D representation of the spinel prisms. It also provides coordinated views and appropriate interactions for users to interact with their datasets. Spinel Web also supports semi-automatic categorization of the geological environment of formation through a standard Web browser.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 222, "name": "Antonini2020-Image.JPG", "type": "image/jpeg", "size": 15627, "path": "Publication:Antonini2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Antonini2020/Antonini2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Antonini2020/Antonini2020-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1820, 1228, 1229, 1233, 235, 166, 1232, 1231 ], "doi": "10.1007/s12145-020-00542-w", "first_published": "2020-11-23", "issn": "18650473", "journal": "Earth Science Informatics", "open_access": "yes", "pages_from": "1", "pages_to": "8", "volume": "13", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 222, "name": "Antonini2020-Image.JPG", "type": "image/jpeg", "size": 15627, "path": "Publication:Antonini2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Antonini2020/Antonini2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Antonini2020/Antonini2020-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Antonini2020-Paper.pdf", "type": "application/pdf", "size": 1324523, "path": "Publication:Antonini2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Antonini2020/Antonini2020-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Antonini2020/Antonini2020-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Antonini2020/", "__class": "Publication" }, { "id": "Koeppel2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/16611", "title": "Context-Responsive Labeling in Augmented Reality", "date": "2020-11-18", "abstract": "Route planning is a common task that often requires additional information on Points-of-Interest (POIs). Augmented Reality (AR) enables mobile users to explore text labels and provides a composite view associated with additional information in a real-world environment. Displaying all labels for Points-of-Interest on a mobile device will lead to unwanted overlaps, and thus a context-responsive strategy to properly arrange labels is expected. This framework should consider removing overlaps, the correct Level-of-Detail to be presented, and also label coherence. This is necessary as the viewing angle in an AR system may change frequently due to users’ behaviors. The consistency of labels plays an essential role in retaining user experience and knowledge, as well as avoiding motion sickness. In this thesis, we aim to develop an approach that systematically manages label visibility and Levels-of-Detail, as well as eliminates unexpected incoherent label movement. To achieve this, we introduce three label management strategies, including (1) Occlusion Management, (2) Level-of-Detail Management, and (3) Coherence Management. A greedy approach is developed for fast occlusion handling. A Level-of-Detail scheme is adopted to arrange various types of labels in AR. A 3D scene manipulation is built to simultaneously suppress the incoherent behaviors induced by the changes of viewing angles. Finally, we present our approach’s feasibility and applicability by demonstrating one synthetic and two real-world scenarios, followed by a qualitative user study.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 342, "image_height": 315, "name": "Koeppel2020-Image.JPG", "type": "image/jpeg", "size": 18157, "path": "Publication:Koeppel2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/Koeppel2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/Koeppel2020-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1367 ], "co_supervisor": [ 1464 ], "date_end": "2020-11-18", "date_start": "2020-02-12", "diploma_examina": "2020-11-18", "matrikelnr": "01327052", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 342, "image_height": 315, "name": "Koeppel2020-Image.JPG", "type": "image/jpeg", "size": 18157, "path": "Publication:Koeppel2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/Koeppel2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/Koeppel2020-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Koeppel2020-Master Thesis.pdf", "type": "application/pdf", "size": 16776419, "path": "Publication:Koeppel2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/Koeppel2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/Koeppel2020-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Koeppel2020-Poster.pdf", "type": "application/pdf", "size": 4132411, "path": "Publication:Koeppel2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/Koeppel2020-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/Koeppel2020-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/", "__class": "Publication" }, { "id": "Meusburger_2020", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Visual Comparison of Spatial Deviations via Geospatial Slicing", "date": "2020-10-28", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 495, "image_height": 229, "name": "Meusburger_2020-Image.JPG", "type": "image/jpeg", "size": 28468, "path": "Publication:Meusburger_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Meusburger_2020/Meusburger_2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Meusburger_2020/Meusburger_2020-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1811 ], "date_end": "2020-10-28", "date_start": "2020-04-12", "matrikelnr": "01526330", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Meusburger_2020-Bachelor thesis.pdf", "type": "application/pdf", "size": 8033013, "path": "Publication:Meusburger_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Meusburger_2020/Meusburger_2020-Bachelor thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Meusburger_2020/Meusburger_2020-Bachelor thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 495, "image_height": 229, "name": "Meusburger_2020-Image.JPG", "type": "image/jpeg", "size": 28468, "path": "Publication:Meusburger_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Meusburger_2020/Meusburger_2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Meusburger_2020/Meusburger_2020-Image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Meusburger_2020/", "__class": "Publication" }, { "id": "zechmeister2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/16181", "title": "Interactive Visualization of Vector Data on Heightfields", "date": "2020-10-13", "abstract": "The accurate visualization of huge amounts of georeferenced vector data on heightfields in real-time is a common problem in the field of geographic information systems (GIS). Vector data usually consist of lines and polygons, which represent objects such as roads, rivers, buildings, and parks. The interactive exploration of these vector entities in large-scale virtual 3D environments and the resulting large zoom range pose an additional performance challenge for their visualization. Ensuring clear visibility of all objects of interest in overview and of their details in close-up views is diÿcult in such large-scale environments.\nIn this thesis, a screen-based visualization method of vector data is proposed, which combines two di˙erent approaches, a static and a dynamic approach, to control the behavior and the visibility of the corresponding vector entities. The vector data can represent real-world objects and to preserve their relative size to the rest of the 3D world, a constant object size is used for the static approach. But, this static behavior can cause vector entities to disappear when zooming out. Since lines are especially a˙ected due to their small width, the dynamic approach scales them according to the current view in order to be clearly visible even from far away.\nThe evaluation results show that both screen-based visualization approaches can be applied in real-world use cases of a geospatial decision support system with large-scale environments and vector data consisting of several millions of vertices and still provide real-time performance. The results also highlight that the proposed screen-based visualization method produces larger render overheads compared with a volume-based visualization, but for large vector data sets, the new method outperforms it.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 447, "image_height": 315, "name": "zechmeister2020-image.JPG", "type": "image/jpeg", "size": 47750, "path": "Publication:zechmeister2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/zechmeister2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/zechmeister2020-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1793 ], "co_supervisor": [ 877 ], "date_end": "2020-10-13", "date_start": "2020-01-20", "diploma_examina": "2020-10-13", "doi": "10.34726/hss.2020.75003", "matrikelnr": "01327455", "open_access": "yes", "pages": "107", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [ "View-dependent Visualization", "Vector Data Rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 447, "image_height": 315, "name": "zechmeister2020-image.JPG", "type": "image/jpeg", "size": 47750, "path": "Publication:zechmeister2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/zechmeister2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/zechmeister2020-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "zechmeister2020-Master Thesis.pdf", "type": "application/pdf", "size": 26225569, "path": "Publication:zechmeister2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/zechmeister2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/zechmeister2020-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "zechmeister2020-Poster.pdf", "type": "application/pdf", "size": 2301383, "path": "Publication:zechmeister2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/zechmeister2020-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/zechmeister2020-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/", "__class": "Publication" }, { "id": "schindler_2020vis", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/58250", "title": "The Anatomical Edutainer", "date": "2020-10", "abstract": "Physical visualizations (i.e., data representations by means of physical objects) have been used for many centuries in medical and anatomical education. Recently, 3D printing techniques started also to emerge. Still, other medical physicalizations that rely on affordable and easy-to-find materials are limited, while smart strategies that take advantage of the optical properties of our physical world have not been thoroughly investigated. We propose the Anatomical Edutainer, a workflow to guide the easy, accessible, and affordable generation of physicalizations for tangible, interactive anatomical edutainment. The Anatomical Edutainer supports 2D printable and 3D foldable physicalizations that change their visual properties (i.e., hues of the visible spectrum) under colored lenses or colored lights, to reveal distinct anatomical structures through user interaction.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "schindler_2020vis-image.png", "type": "image/png", "size": 75476, "path": "Publication:schindler_2020vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1760, 1464, 1410 ], "booktitle": "IEEE Vis Short Papers 2020", "cfp": { "name": "Short Paper Call for Participation.pdf", "type": "application/pdf", "error": "0", "size": "132515", "orig_name": "Short Paper Call for Participation.pdf", "ext": "pdf" }, "event": "IEEE Vis 2020", "lecturer": [ 1410 ], "pages_from": "1", "pages_to": "5", "research_areas": [ "Fabrication", "IllVis", "MedVis", "Perception" ], "keywords": [ "Data Physicalization", "Medical Visualization", "Anatomical Education" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "schindler_2020vis-image.png", "type": "image/png", "size": 75476, "path": "Publication:schindler_2020vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper preprint", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 416, "preview_image_height": 421, "name": "schindler_2020vis-paper preprint.pdf", "type": "application/pdf", "size": 26317989, "path": "Publication:schindler_2020vis", "preview_name": "schindler_2020vis-paper preprint:preview.JPG", "preview_type": "image/jpeg", "preview_size": 43449, "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-paper preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-paper preprint:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/", "__class": "Publication" }, { "id": "Bechtold2020", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Getting Insight on Animal Behaviour through Interactive Visualization of Multiple T-Maze Ensembles", "date": "2020-08-20", "abstract": "behaviourists and ethologists study cognitive abilities such as learning and memory in rodents to get a better understanding of how similar processes in humans proceed. Often such studies are based on experiments of rodents placed and observed in a Multiple T-Maze. There, the path of the animals are recorded as they move inside the maze, and the resulting trajectories are then analysed. State-of-the-art analysis is based on descriptive parameters and standard statistics where one trajectory at a time is analysed. Usually it is not possible to examine multiple animal paths simultaneously. Together with experts on the field we abstracted the typical work-flow of such analyses and developed an interactive visual analytics tool, with the goal to facilitate the experts’ work and enable a deeper and novel understanding of the learning ability and decision making in rodents. After giving an overview of related works and computer-aided analysis tools in the beginning, the analysis demands and task-breakdown is presented, followed by an Explanation of the data acquisition process, data preprocessing and aggregation. The underlying data structure will be explained as well. The developed analysis tool — the T-Maze Explorer — supports multiple, linked views, which support several traditional methods of visualizations, as well as two newly proposed visualizations fitted to meet the experts’ analysis demands. The first view — the T-Maze View — displays all trajectories of an ensemble with additional options such as highlighting the return path. The purpose of the second view — the Gate-O-Gon view — is to extract information from the trajectories on how often returns in the path occurred and between which parts of the maze these occurred. This information is depicted in a compact and informative novel visualization. The purpose of the T-Maze Explorer is to enable its user to easily find patterns in the data and identify irregular behaviour while inspecting a single path, multiple or the whole trajectory ensemble simultaneously. This thesis provides an insight on how the proposed visualizations were developed, the T-Maze Explorer’s characteristics and benefits as well as it’s limitations. Lastly, a brief excerpt is given on how the T-Maze Explorer could be extended in the future.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 341, "image_height": 306, "name": "Bechtold2020-image.JPG", "type": "image/jpeg", "size": 23611, "path": "Publication:Bechtold2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Bechtold2020/Bechtold2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Bechtold2020/Bechtold2020-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1778 ], "date_end": "2020-08-20", "date_start": "2020-03-02", "matrikelnr": "00827420", "supervisor": [ 235 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Bechtold2020-Bachelor thesis.pdf", "type": "application/pdf", "size": 1852939, "path": "Publication:Bechtold2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Bechtold2020/Bechtold2020-Bachelor thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Bechtold2020/Bechtold2020-Bachelor thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 341, "image_height": 306, "name": "Bechtold2020-image.JPG", "type": "image/jpeg", "size": 23611, "path": "Publication:Bechtold2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Bechtold2020/Bechtold2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Bechtold2020/Bechtold2020-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Bechtold2020/", "__class": "Publication" }, { "id": "Stoll2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/15401", "title": " Tactile Multi-Media Guide - Interaction design on tactile reliefs", "date": "2020-08-18", "abstract": "This thesis was part of the three year ARCHES project. We have set ourselves the goal to create an inclusive cultural environment. The main contribution of this thesis is the development of a new Tactile Multi-Media Guide (TMG). The TMG is an interaction design on tactile reliefs, which makes art accessible for visitors with various visual, hearing and cognitive access preferences. Over 200 people with diverse disabilities from participatory research groups in London, Madrid, Oviedo and Vienna met in the museums, developed ideas, tested and helped shape the prototypes. This thesis establishes a Design for all mixed reality prototype, where users can explore six artworks with their hands and trigger information with specific gestures. The TMG provides information in form of audio files, subtitles, sign language videos, as well as texts. It also supports visitors with learning difficulties with an easy read version. This thesis shows that experiencing art can be interesting and accessible for everyone. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 500, "image_height": 667, "name": "Stoll2020-Image.jpg", "type": "image/jpeg", "size": 80416, "path": "Publication:Stoll2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/Stoll2020-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/Stoll2020-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1810 ], "date_end": "2020-08-18", "date_start": "2019-09-20", "diploma_examina": "2020-08-18", "doi": "10.34726/hss.2020.58901", "matrikelnr": "00804929", "open_access": "yes", "pages": "87", "supervisor": [ 190 ], "research_areas": [ "IllVis" ], "keywords": [ "Interaction", "human-centered design", "multimedia", "tactile" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 500, "image_height": 667, "name": "Stoll2020-Image.jpg", "type": "image/jpeg", "size": 80416, "path": "Publication:Stoll2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/Stoll2020-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/Stoll2020-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Stoll2020-Master Thesis.pdf", "type": "application/pdf", "size": 3591058, "path": "Publication:Stoll2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/Stoll2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/Stoll2020-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Stoll2020-Poster.pdf", "type": "application/pdf", "size": 4009292, "path": "Publication:Stoll2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/Stoll2020-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/Stoll2020-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/", "__class": "Publication" }, { "id": "miao_nar_2020", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/141025", "title": "Adenita: interactive 3D modelling and visualization of DNA nanostructures", "date": "2020-07", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1229, "preview_image_height": 579, "name": "miao_nar_2020-.pdf", "type": "application/pdf", "size": 1444761, "path": "Publication:miao_nar_2020", "preview_name": "miao_nar_2020-:preview.png", "preview_type": "image/png", "preview_size": 391675, "url": "https://www.cg.tuwien.ac.at/research/publications/2020/miao_nar_2020/miao_nar_2020-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/miao_nar_2020/miao_nar_2020-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1474, 1263, 1471, 1774, 1775, 171, 1473 ], "doi": "10.1093/nar/gkaa593", "journal": "Nucleic Acids Research", "research_areas": [ "BioVis", "IllVis", "Modeling" ], "keywords": [], "weblinks": [ { "href": "https://academic.oup.com/nar/article-pdf/doi/10.1093/nar/gkaa593/33517747/gkaa593.pdf", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1229, "preview_image_height": 579, "name": "miao_nar_2020-.pdf", "type": "application/pdf", "size": 1444761, "path": "Publication:miao_nar_2020", "preview_name": "miao_nar_2020-:preview.png", "preview_type": "image/png", "preview_size": 391675, "url": "https://www.cg.tuwien.ac.at/research/publications/2020/miao_nar_2020/miao_nar_2020-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/miao_nar_2020/miao_nar_2020-:thumb{{size}}.png" } ], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/miao_nar_2020/", "__class": "Publication" }, { "id": "Mautner 2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/1119", "title": "Interactive 3D Storytelling for Planetary Exploration", "date": "2020-05-04", "abstract": "The Planetary Robotics 3D Viewer (PRo3D) is an interactive visualization tool thatallows for geological analyses of planetary surfaces. The primary goal is to supportgeologists at NASA and ESA in their mission to find signs of life on Mars by enablingthem to perform analyses on a high-resolution 3D surface model. While PRo3D facilitatesan exploratory workflow to gain new insights, there is a lack of support to communicatenew findings. In this thesis, we discuss the design and implementation of storytellingmechanisms into PRo3D that allow for an easy, fast, and interactive communicationof results. Moreover, we show how provenance information can be incorporated intostories, enabling geoscientists to present how they arrived at a certain discovery orinterpretation. Provenance includes the individual steps in the analysis process thatlead to a given finding, supporting its verification and reproducibility. We present abroad overview about storytelling and provenance in visualization, and discuss the designspace of a provenance-based storytelling approach in the context of geological analysesas conducted in PRo3D. Finally, we present a prototype as a proof of concept based onthese deliberations.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 434, "image_height": 249, "name": "Mautner 2020-image.JPG", "type": "image/jpeg", "size": 30292, "path": "Publication:Mautner 2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/Mautner 2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/Mautner 2020-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1567 ], "date_end": "2020-05-04", "date_start": "2019-09", "diploma_examina": "2020-06", "matrikelnr": "1127229", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 434, "image_height": 249, "name": "Mautner 2020-image.JPG", "type": "image/jpeg", "size": 30292, "path": "Publication:Mautner 2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/Mautner 2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/Mautner 2020-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Mautner 2020-Master Thesis.pdf", "type": "application/pdf", "size": 13991167, "path": "Publication:Mautner 2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/Mautner 2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/Mautner 2020-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Mautner 2020-Poster.pdf", "type": "application/pdf", "size": 4976703, "path": "Publication:Mautner 2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/Mautner 2020-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/Mautner 2020-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/", "__class": "Publication" }, { "id": "Panayotov", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/15053", "title": " A Visual Exploration Tool forTemporal Analysis of CustomerReviews", "date": "2020-05-04", "abstract": "This thesis explores textual review data and how it changes over time. The thesisis motivated by the constantly generated textual reviews. Review sites like Yelp andTripAdvisor are generating hundreds of thousands of reviews monthly. Analysing thisamount of data is impossible by simply reading every individual review. We look forways to answer questions that business analysts, business owners, and investors ask aboutcustomer review data. This thesis asks questions such as: Why do review scores andtopics change over time? What are the major topics people discuss? What are the typicalreasons why review scores suddenly increase or decrease? What are topics that invokepermanent or transient changes in a large collection of review scores?We created a tool called Review Watcher, which provides novel approaches to examineand analyse review changes over time. The tool aims to provide simple, easily accessibleinformation regarding temporal changes in a collection of restaurant reviews. The tooluses real data provided by Yelp. It employs graphical ways to indicate changes in reviewscores over different periods of time. The tool analyses the review scores over time, andit tries to explain changes in these scores based on the textual content of the reviews.The tool utilises automated text processing algorithms to highlight important and oftenused words in text corpora.We used a qualitative evaluation to determine how well the tool manages to answer theresearch questions. We completed a user study with experts in the field of economics.They shared the insights they gathered using Review Watcher and compared them totheir experiences working with other tools for customer satisfaction and review analysis.As a result of our research, we show that Review Watcher manages to provide betterinsight into what are major topics in a collection of textual reviews. In the thesis, we showthat Review Watcher is better suited to highlighting review changes occurring over timeand giving insights to why the changes occurred, compared to existing tools for reviewexploration. The tool is also proving capable of handling millions of textual reviews oftens of thousands of restaurants with acceptable loading times for the user. The userstudy also reveals some of the tool’s limitations and potential for future work, for examplein introducing improved categorisation functions and geographical information about restaurants.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 365, "image_height": 207, "name": "Panayotov-image.JPG", "type": "image/jpeg", "size": 14323, "path": "Publication:Panayotov", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/Panayotov-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/Panayotov-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1686 ], "co_supervisor": [ 1110 ], "date_end": "2020-05-04", "date_start": "2019-06", "diploma_examina": "2020-06", "doi": "10.34726/hss.2020.70281", "matrikelnr": "01643722", "open_access": "yes", "pages": "106", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [ "Information Visualization", "Business Intelligence", "Social Network Analysis" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 365, "image_height": 207, "name": "Panayotov-image.JPG", "type": "image/jpeg", "size": 14323, "path": "Publication:Panayotov", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/Panayotov-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/Panayotov-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Panayotov-Master Thesis.pdf", "type": "application/pdf", "size": 4730518, "path": "Publication:Panayotov", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/Panayotov-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/Panayotov-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Panayotov-Poster.pdf", "type": "application/pdf", "size": 683771, "path": "Publication:Panayotov", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/Panayotov-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/Panayotov-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/", "__class": "Publication" }, { "id": "Unger2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/1114", "title": "Interactive Visual Exploration ofLarge Bipartite Graphs usingFirework Plots", "date": "2020-04-30", "abstract": "In this thesis, we introduce a web-based interactive exploration interface for a broadaudience to investigate large, weighted, bipartite graphs. The motivation of this workis based on theMedia Transparency Databasewhich arises from an Austrian law thatcompels legal entities to announce their advertisement spendings to media organizationsand meets the specified characteristics.Most current interactive exploration tools use complex visualizations because they weredeveloped for domain experts. As the Media Transparency Database is of potentialinterest to a broad audience, we provide a framework not just for domain experts butalso for inexperienced users.Therefore, we conducted systematic benchmarks to compare state-of-the-art web-basedrendering techniques. Furthermore, we compared the performance of different librariesto determine the most efficient rendering solution and current limitations of web-basedrendering.We introduce the concept of Firework Plots, which aims to provide a common visualizationthat scales well with the size of the data. Our visualization concept is based on intuitivenode-link visualization in combination with multiple visualization and interaction concepts.Hierarchical aggregation is used to improve scalability. Constrained, layered, force-basedgraph layouts, as well as firework animations and seamless zoom, are used to allowinexperienced users to drill down the graph hierarchy and track nodes through thehierarchy. Moreover, visibility management is used to reduce clutter and improveperformance.Based on the insights of our web-based graph rendering analysis, we implementedour framework and the concept of Firework Plots. We show the usefulness of theimplementation by discussing different use cases and comparing it to related work.Moreover, we conducted multiple benchmarks to show the rendering performance and calculation times.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 430, "image_height": 275, "name": "Unger2020-image.JPG", "type": "image/jpeg", "size": 44075, "path": "Publication:Unger2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1530 ], "date_end": "2020-04-30", "date_start": "2019-04-01", "diploma_examina": "2020-05", "doi": "10.34726/hss.2020.66221", "matrikelnr": "01325652", "open_access": "yes", "pages": "104", "supervisor": [ 166, 1110 ], "research_areas": [ "IllVis" ], "keywords": [ "Node-Link Diagram", "Bipartite Projection" ], "weblinks": [ { "href": "https://users.cg.tuwien.ac.at/kunger/da-bipartite-node-link/?data=MTD-20123-20194_filtered_o31t", "caption": "Firework Plots Online", "description": "Firework plots showing the Media Transparency Database data 2012 to 2019 (without §31). ", "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 430, "image_height": 275, "name": "Unger2020-image.JPG", "type": "image/jpeg", "size": 44075, "path": "Publication:Unger2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Unger2020-Master Thesis.pdf", "type": "application/pdf", "size": 18029327, "path": "Publication:Unger2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Unger2020-Poster.pdf", "type": "application/pdf", "size": 1727745, "path": "Publication:Unger2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-Poster:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Unger2020-video.mp4", "type": "video/mp4", "size": 30258086, "path": "Publication:Unger2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/", "__class": "Publication" }, { "id": "Schrempf_2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": " Fantastic Voyage: An AugmentedReality Approach to AnatomicalEducation for the General Public", "date": "2020-03-05", "abstract": "The purpose of this master thesis is the development of a mobile, anatomical educationapplication for the general public, which shifts the passive, unthoughtful mobile deviceusage to a more active, teaching usage by utilizing macroscopic and regional anatomy. The new, immersive learning experience with interactive, Three Dimensional (3D), Aug-mented Reality (AR) anatomy models synchronizes the models in realtime with the user’sface. Individuals of the general public can digitally dissect their own facial anatomy tolearn geometrical, spatial, and textual anatomy features.Immanent features of the created learning process are self-directed anatomy learning,less cognitive load, a motivation-, attention-, concentration increase, longer preserved sat-isfaction, new anatomical knowledge, and better spatial abilities compared to traditionallearning. The high complexity of the human anatomy restricts the synchronized anatomymodels to the head. Notwithstanding, all human anatomy models can be viewed as TwoDimensional (2D) or AR 3D renderings, whereby only the head anatomy is synchronizedwith the user’s head. The answered research questions are “How can interactive AR be used in anatomicaleducation for the general public?” and “How much and what anatomy can be learned inwhich time with the developed application compared to state of the art works?”. HeadPose Estimation (HPE) links AR managed by the framework ARCore with 3D anatomymodels from Body Parts 3D (BP3D) and anatomy information from FoundationalModel of Anatomy (FMA) to educate the general public in anatomy. Recommended requirements from professional literature are fulfilled by the developed mobile application named ARnatomy, which is a jointed, anatomical, interactive learning experience. The development result has been evaluated in an informal study with eight participants, whichshowed that mobile AR can be used for the anatomical education of the general public.Seven of eight participants gained anatomical knowledge in a geometrical, spatial, and textual form.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 224, "image_height": 302, "name": "Schrempf_2020-image.PNG", "type": "image/png", "size": 164985, "path": "Publication:Schrempf_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/Schrempf_2020-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/Schrempf_2020-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1552 ], "date_end": "2020-03-05", "date_start": "2019-06-05", "diploma_examina": "2020-03-25", "matrikelnr": "00920136", "open_access": "yes", "supervisor": [ 166, 1410 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 224, "image_height": 302, "name": "Schrempf_2020-image.PNG", "type": "image/png", "size": 164985, "path": "Publication:Schrempf_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/Schrempf_2020-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/Schrempf_2020-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Schrempf_2020-Master Thesis.pdf", "type": "application/pdf", "size": 8899312, "path": "Publication:Schrempf_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/Schrempf_2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/Schrempf_2020-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Schrempf_2020-Poster.pdf", "type": "application/pdf", "size": 4760141, "path": "Publication:Schrempf_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/Schrempf_2020-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/Schrempf_2020-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/", "__class": "Publication" }, { "id": "Swoboda2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Visualisation and Interaction Techniques for the Exploration of the Fruit Fly’s Neural Structure", "date": "2020-02-27", "abstract": "In their studies of the brain of the common fruit fly Drosophila melanogaster, neuro-biologists investigate neural connectivity with the goal to discover how complex be-haviour is generated. Gaining information on potential connectivity between neurons is an essential step in their workflow. This thesis presents a way to compute and visualise such potential connectivity information from segmented neurons. It shortens the tedious month-long search for potential connectivity down to a few minutes.\nOverlaps of arborisations of two or more neurons indicate a potential anatomical connection, and thus a potential functional connection. The computation of this data starts from neuron meshes. The meshes—segmented from confocal light-microscopy images of the fruit fly—are intersected to find overlapping areas, i.e. areas of potential anatomical connectivity. This information can then help to discover actual functional connectivity in a neural circuit.\nAnalysing higher order overlaps, i.e. intersections of more than two arborisations of segmented neuron data in the same location, poses new challenges. The visualisation in 2D sections or 3D is impeded by visual clutter and occlusion. Computation of relevant volumetric information becomes difficult for higher order overlaps, because the number of possible overlaps increases exponentially with the number of arborisations. This makes the pre-computation for all possible combinations infeasible. Previous tools have thus been restricted to the quantification and visualisation of pairwise overlaps.\nThe thesis presents a novel solution addressing these issues for higher order over-laps. A novel abstracting design is coupled with a modern approach for on-demand GPU computations. Our tool calculates for the first time volumetric information of higher order overlaps on the GPU using A-buffers. The thesis addresses the visual com-plexity of the data with the implementation of an innovative novel design created by the graphics designer Judith Moosburner. We realised this design using non-photorealistic rendering techniques and perspicuous user interfaces, including interactive glyphs and linked views on quantitative overlap information. To complement the neuroscientists’ workflows the resulting interactive tool has been integrated into BrainGazer, a software tool for advanced visualisation and exploration of neural images and circuit data. Qual-itative evaluation with neuroscientists and non-expert users demonstrated the utility and usability of the tool.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 329, "image_height": 311, "name": "Swoboda2020-image.JPG", "type": "image/jpeg", "size": 22737, "path": "Publication:Swoboda2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/Swoboda2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/Swoboda2020-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1358 ], "co_supervisor": [ 231 ], "date_end": "2020-02-27", "date_start": "2019-09-20", "diploma_examina": "2020-05", "matrikelnr": "0425828", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 329, "image_height": 311, "name": "Swoboda2020-image.JPG", "type": "image/jpeg", "size": 22737, "path": "Publication:Swoboda2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/Swoboda2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/Swoboda2020-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Swoboda2020-Master Thesis.pdf", "type": "application/pdf", "size": 14837665, "path": "Publication:Swoboda2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/Swoboda2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/Swoboda2020-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Swoboda2020-Poster.pdf", "type": "application/pdf", "size": 2513316, "path": "Publication:Swoboda2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/Swoboda2020-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/Swoboda2020-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/", "__class": "Publication" }, { "id": "kouril-2020-hyperlabels", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "HyperLabels: Browsing of Dense and Hierarchical Molecular 3D Models", "date": "2020-02-24", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 255, "image_height": 189, "name": "kouril-2020-hyperlabels-image.JPG", "type": "image/jpeg", "size": 25538, "path": "Publication:kouril-2020-hyperlabels", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/kouril-2020-hyperlabels-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/kouril-2020-hyperlabels-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1383, 960, 1248, 1746, 166, 171 ], "cfp": { "name": "Gmail - IEEE VIS 2020 - Call for Participation_ Papers; Workshops; Doctoral Colloquium.pdf", "type": "application/pdf", "error": "0", "size": "124288", "orig_name": "Gmail - IEEE VIS 2020 - Call for Participation_ Papers; Workshops; Doctoral Colloquium.pdf", "ext": "pdf" }, "date_from": "2020-02-24", "date_to": "2020-02-24", "doi": "10.1109/TVCG.2020.2975583", "event": "IEEE Vis 2020", "first_published": "2020-02-24", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1383 ], "note": "to appear", "open_access": "yes", "pages_from": "1", "pages_to": "12", "volume": "1", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 255, "image_height": 189, "name": "kouril-2020-hyperlabels-image.JPG", "type": "image/jpeg", "size": 25538, "path": "Publication:kouril-2020-hyperlabels", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/kouril-2020-hyperlabels-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/kouril-2020-hyperlabels-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "kouril-2020-hyperlabels-Paper.pdf", "type": "application/pdf", "size": 17304362, "path": "Publication:kouril-2020-hyperlabels", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/kouril-2020-hyperlabels-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/kouril-2020-hyperlabels-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/", "__class": "Publication" }, { "id": "Groeller_V1_2020", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/87163", "title": "Interactive Visual Analysis in the Computational Sciences", "date": "2020-01-29", "abstract": "Visualization and visual computing use computer-supported, interactive, visual representations of (abstract) data to amplify cognition. In recent years data complexity concerning volume, veracity, velocity, and variety has increased considerably. This is due to new data sources as well as the availability of uncertainty, error and tolerance information. Instead of individual objects entire sets, collections, and ensembles are visually investigated. There is a need for visual analyses, comparative visualization, quantitative visualizations, scalable visualizations, and linked/integrated views. The simultaneous exploration and visualization of spatial and abstract information is an important case in point. Several examples from the computational sciences will be discussed in detail. These concern: parameter studies of dataset series; visual analytics for the exploration and assessment of segmentation errors; quantitative visual analytics with structured brushing and linked statistics; visual comparison of 3D volumes through space-filling curves. Given the amplified data variability, interactive visual data analyses are likely to gain in importance in the future. Research challenges and directions are sketched at the end of the talk.\n", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "event": "High Visual Computing (HiVisComp) 2020", "location": "Hotel Praha, Ore Mountains, Czech Republic", "open_access": "yes", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Groeller_V1_2020/", "__class": "Publication" }, { "id": "Halladjian_2020", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/141411", "title": "ScaleTrotter: Illustrative Visual Travels Across Negative Scales", "date": "2020-01", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "scale_trotter", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 770, "image_height": 838, "name": "Halladjian_2020-scale_trotter.png", "type": "image/png", "size": 746352, "path": "Publication:Halladjian_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/Halladjian_2020-scale_trotter.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/Halladjian_2020-scale_trotter:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1665, 1263, 1383, 166, 171, 960 ], "date_from": "2019-10", "date_to": "2019-10", "event": "IEEE Vis 2019", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1665 ], "number": "1", "volume": "26", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Halladjian_2020-paper.pdf", "type": "application/pdf", "size": 14976666, "path": "Publication:Halladjian_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/Halladjian_2020-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/Halladjian_2020-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "scale_trotter", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 770, "image_height": 838, "name": "Halladjian_2020-scale_trotter.png", "type": "image/png", "size": 746352, "path": "Publication:Halladjian_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/Halladjian_2020-scale_trotter.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/Halladjian_2020-scale_trotter:thumb{{size}}.png" } ], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/", "__class": "Publication" }, { "id": "klein_2019_PHD", "type_id": "phdthesis", "tu_id": 284011, "repositum_id": null, "title": "Instant Construction of Atomistic Models for Visualization in Integrative Cell Biology", "date": "2019-11-23", "abstract": "AbstractComputational models have advanced research of integrative cell biology in variousways. Especially in the biological mesoscale, the scale between atoms and cellularenvironments, computational models improve the understanding and qualitative anal-ysis. The mesoscale is an important range, since it represents the range of scalesthat are not fully accessible to a single experimental technique. Complex molecularassemblies within this scale have been visualized with x-ray crystallography, thoughonly in isolation. Mesoscale models shows how molecules are assembled into morecomplex subcelluar environments that orchestrate the processes of life. The skillfulcombination of the results of imaging and experimental techniques provides a glimpseof the processes, which are happening here. Only recently, biologists have startedto unify the various sources of information. They have begun to computationallyassemble and subsequently visualize complex environments, such as viruses or bacteria.Currently, we live in an opportune time for researching integrative structural biologydue to several factors. First and foremost, the wealth of data, driven through sourceslike online databases, makes structural information about biological entities publiclyavailable. In addition to that, the progress of parallel processors builds the foundationto instantly construct and render large mesoscale environments in atomistic detail.Finally, new scientific advances in visualization allow the efficient rendering of complexbiological phenomena with millions of structural units.In this cumulative thesis, we propose several novel techniques that facilitate the instantconstruction of mesoscale structures. The common methodological strategy of thesetechniques and insight from this thesis is “compute instead of store”. This approacheliminates the storage and memory management complexity, and enables instantchanges of the constructed models. Combined, our techniques are capable of instantlyconstructing large-scale biological environments using the basic structural buildingblocks of cells. These building blocks are mainly nucleic acids, lipids, and solubleproteins. For the generation of long linear polymers formed by nucleic acids, wepropose a parallel construction technique that makes use of a midpoint displacementalgorithm. The efficient generation of lipid membranes is realized through a texturesynthesis approach that makes use of the Wang tiling concept. For the population ofsoluble proteins, we present a staged algorithm, whereby each stage is processed inparallel. We have integrated the instant construction approach into a visual environmentin order to improve several aspects. First, it allows immediate feedback on the createdix\nstructures and the results of parameter changes. Additionally, the integration ofconstruction in visualization builds the foundation for visualization systems that striveto construct large-scale environments on-the-fly. Lastly, it advances the qualitativeanalysis of biological mesoscale environments, where a multitude of synthesized modelsis required. In order to disseminate the physiology of biological mesoscale models,we propose a novel concept that simplifies the creation of multi-scale proceduralanimations.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 891, "image_height": 439, "name": "klein_2019_PHD-image.JPG", "type": "image/jpeg", "size": 144960, "path": "Publication:klein_2019_PHD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PHD/klein_2019_PHD-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PHD/klein_2019_PHD-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1285 ], "co_supervisor": [ 166 ], "date_end": "2019", "date_start": "2016", "open_access": "yes", "reviewer_1": [ 592 ], "reviewer_2": [ 951 ], "rigorosum": "2019-11-29", "supervisor": [ 171 ], "research_areas": [ "BioVis", "IllVis", "Modeling", "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 891, "image_height": 439, "name": "klein_2019_PHD-image.JPG", "type": "image/jpeg", "size": 144960, "path": "Publication:klein_2019_PHD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PHD/klein_2019_PHD-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PHD/klein_2019_PHD-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "klein_2019_PHD-thesis.pdf", "type": "application/pdf", "size": 99211024, "path": "Publication:klein_2019_PHD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PHD/klein_2019_PHD-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PHD/klein_2019_PHD-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PHD/", "__class": "Publication" }, { "id": "klein_2019_PGG", "type_id": "journalpaper", "tu_id": 283953, "repositum_id": null, "title": "Parallel Generation and Visualization of Bacterial Genome Structures", "date": "2019-11", "abstract": "Visualization of biological mesoscale models provides a glimpse at the inner workings of living cells. One of the most complex components of these models is DNA, which is of fundamental importance for all forms of life. Modeling the 3D structure of genomes has previously only been attempted by sequential approaches. We present the first parallel approach for the instant construction of DNA structures. Traditionally, such structures are generated with algorithms like random walk, which have inherent sequential constraints. These algorithms result in the desired structure, are easy to control, and simple to formulate. Their execution, however, is very time-consuming, as they are not designed to exploit parallelism. We propose an approach to parallelize the process, facilitating an implementation on the GPU.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1534, "image_height": 782, "name": "klein_2019_PGG-teaser.png", "type": "image/png", "size": 2567699, "path": "Publication:klein_2019_PGG", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/klein_2019_PGG-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/klein_2019_PGG-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1285, 935, 1260, 1365, 1475, 166, 171 ], "cfp": { "name": "Capture.JPG", "type": "image/jpeg", "error": "0", "size": "167470", "orig_name": "Capture.JPG", "ext": "JPG" }, "date_from": "2019", "date_to": "2019", "doi": "10.1111/cgf.13816", "event": "Pacific Graphics 2109", "journal": "Computer Graphics Forum", "lecturer": [ 1285 ], "number": "7", "pages_from": "57", "pages_to": "68", "volume": "38", "research_areas": [ "BioVis", "IllVis", "Modeling" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "klein_2019_PGG-paper.pdf", "type": "application/pdf", "size": 9192118, "path": "Publication:klein_2019_PGG", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/klein_2019_PGG-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/klein_2019_PGG-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1534, "image_height": 782, "name": "klein_2019_PGG-teaser.png", "type": "image/png", "size": 2567699, "path": "Publication:klein_2019_PGG", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/klein_2019_PGG-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/klein_2019_PGG-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/", "__class": "Publication" }, { "id": "Sbardellati-2019-vcbm", "type_id": "inproceedings", "tu_id": 282838, "repositum_id": null, "title": "Interactive Exploded Views for Molecular Structures", "date": "2019-09-03", "abstract": "We propose an approach to interactively create exploded views of molecular structures with the goal to help domain experts in their design process and provide them with a meaningful visual representation of component relationships. Exploded views are excellently suited to manage visual occlusion of structure components, which is one of the main challenges when visualizing complex 3D data. In this paper, we discuss four key parameters of an exploded view: explosion distance, direction, order, and the selection of explosion components. We propose two strategies, namely the structure-derived exploded view and the interactive free-form exploded view, for computing these four parameters systematically. The first strategy allows scientists to automatically create exploded views by computing the parameters from the given object structures. The second strategy further supports them to design and customize detailed explosion paths through user interaction. Our approach features the possibility to animate exploded views, to incorporate ease functions into these animations and to display the explosion path of components via arrows. Finally, we demonstrate three use cases with various challenges that we investigated in collaboration with a domain scientist. Our approach, therefore, provides interesting new ways of investigating and presenting the design layout and composition of complex molecular structures.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "Sbardellati-2019-vcbm-image.png", "type": "image/png", "size": 46683, "path": "Publication:Sbardellati-2019-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1555, 1263, 1464, 166, 1473, 171 ], "booktitle": "Proceedings of the 9th Eurographics Workshop on Visual Computing for Biology and Medicine", "cfp": { "name": "vcbm2019.pdf", "type": "application/pdf", "error": "0", "size": "270183", "orig_name": "vcbm2019.pdf", "ext": "pdf" }, "event": "VCBM 2019", "lecturer": [ 1555 ], "pages_from": "103", "pages_to": "112", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "Sbardellati-2019-vcbm-image.png", "type": "image/png", "size": 46683, "path": "Publication:Sbardellati-2019-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Sbardellati-2019-vcbm-paper.pdf", "type": "application/pdf", "size": 9377764, "path": "Publication:Sbardellati-2019-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Sbardellati-2019-vcbm-video.mp4", "type": "video/mp4", "size": 164367569, "path": "Publication:Sbardellati-2019-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-video:video.mp4" } ], "projects_workgroups": [ "BioNetIllustration", "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/", "__class": "Publication" }, { "id": "mindek-2019-mci", "type_id": "misc", "tu_id": 282839, "repositum_id": null, "title": "Microtubule Catastrophe", "date": "2019-09", "abstract": "This is a procedural model of microtubule dynamics. It is rendered in real-time in the Marion molecular visualization framework. The image shows the \"catastrophe\" event, i.e., a sudden switch between the growth and rapid shortening of a microtubule, a filament which is a part of cytoskeleton. In the background, molecules of proteins cell cytoplasm proteins are visible. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "Real-time rendered model of dynamic instability of a microtubule - part of a skeleton of a cell.", "filetitle": "Microtubule Catastrophe", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2560, "image_height": 1440, "name": "mindek-2019-mci-Microtubule Catastrophe.png", "type": "image/png", "size": 5531356, "path": "Publication:mindek-2019-mci", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mindek-2019-mci/mindek-2019-mci-Microtubule Catastrophe.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mindek-2019-mci/mindek-2019-mci-Microtubule Catastrophe:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935, 1285, 1260, 1695 ], "note": "VCBM 2019, Image Contest Jury's Award", "research_areas": [ "IllVis" ], "keywords": [ "molecular visualization", "microtubules", "biology" ], "weblinks": [ { "href": "https://conferences.eg.org/vcbm2019/awards", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "Real-time rendered model of dynamic instability of a microtubule - part of a skeleton of a cell.", "filetitle": "Microtubule Catastrophe", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2560, "image_height": 1440, "name": "mindek-2019-mci-Microtubule Catastrophe.png", "type": "image/png", "size": 5531356, "path": "Publication:mindek-2019-mci", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mindek-2019-mci/mindek-2019-mci-Microtubule Catastrophe.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mindek-2019-mci/mindek-2019-mci-Microtubule Catastrophe:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mindek-2019-mci/", "__class": "Publication" }, { "id": "Bayat_2019", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "The Visualization of the Evolution of Cultural Models", "date": "2019-08-13", "abstract": "Culture is a fascinating phenomenon influencing various aspects of our lives. Cultural models seek to describe the complex structure of ethical and societal values. Two main cultural models have been defined so far: the Hofstede model [Hof11] and the GLOBE project [GLO04]. Both models define similar attributes to describe characteristics of a society, summarized in so-called cultural dimensions.\nTo better understand the complexity of cultural models and the information given\nthere are tools that visualize the complex data provided. Current tools for the visualization of cultural models make use of barcharts, boxplots and scatterplots, while only covering a small part of the data and information given. The existing tools do not cover the information completely and miss vital aspects. We want to fill these gaps and seek to find a way to easily compare selected data with each other. Moreover, we want to design a visualization that can identify cultures and cultural regions. We try to create a tool to visualize cultural models. The tool displays the given data in an easy way, by using new approaches and improving existing ones. First, we analyze the data given, to crystallize the core information and main feature of our visualization.\nNext, the goal is to define the advantages and disadvantages of the current and latest\nvisualization approaches. By combining the strengths and improving the weaknesses of\nthese existing tools we try to specify the difficulties and goals we want to achieve with the new approach. Lastly, we look at ongoing cultural applications by using the developed visualization tool and look for similarities where we do not expect them.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 464, "image_height": 311, "name": "Bayat_2019-image.JPG", "type": "image/jpeg", "size": 21066, "path": "Publication:Bayat_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bayat_2019/Bayat_2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bayat_2019/Bayat_2019-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1693 ], "date_end": "2019-08-13", "date_start": "2019-04-10", "matrikelnr": "01614855", "supervisor": [ 1410 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Bayat_2019-Bachelor Thesis.pdf", "type": "application/pdf", "size": 3536287, "path": "Publication:Bayat_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bayat_2019/Bayat_2019-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bayat_2019/Bayat_2019-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 464, "image_height": 311, "name": "Bayat_2019-image.JPG", "type": "image/jpeg", "size": 21066, "path": "Publication:Bayat_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bayat_2019/Bayat_2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bayat_2019/Bayat_2019-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bayat_2019/", "__class": "Publication" }, { "id": "klein_2019_PMP", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/57947", "title": "Multi-Scale Procedural Animations of Microtubule Dynamics Based on Measured Data", "date": "2019-08", "abstract": "Biologists often use computer graphics to visualize structures, which due to physical limitations are not possible to imagewith a microscope. One example for such structures are microtubules, which are present in every eukaryotic cell. They are part ofthe cytoskeleton maintaining the shape of the cell and playing a key role in the cell division. In this paper, we propose a scientifically-accurate multi-scale procedural model of microtubule dynamics as a novel application scenario for procedural animation, which cangenerate visualizations of their overall shape, molecular structure, as well as animations of the dynamic behaviour of their growth anddisassembly. The model is spanning from tens of micrometers down to atomic resolution. All the aspects of the model are driven byscientific data. The advantage over a traditional, manual animation approach is that when the underlying data change, for instance dueto new evidence, the model can be recreated immediately. The procedural animation concept is presented in its generic form, withseveral novel extensions, facilitating an easy translation to other domains with emergent multi-scale behavior.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1706, "image_height": 770, "name": "klein_2019_PMP-image.jpg", "type": "image/jpeg", "size": 953504, "path": "Publication:klein_2019_PMP", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1285, 171, 166, 935 ], "cfp": { "name": "Call For Participation.pdf", "type": "application/pdf", "error": "0", "size": "356286", "orig_name": "Call For Participation.pdf", "ext": "pdf" }, "date_from": "2019", "date_to": "2019", "doi": "10.1109/TVCG.2019.2934612", "event": "IEEE VIS 2019", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1285 ], "number": "1", "pages_from": "622", "pages_to": "632", "volume": "26", "research_areas": [ "BioVis", "IllVis", "Modeling", "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1706, "image_height": 770, "name": "klein_2019_PMP-image.jpg", "type": "image/jpeg", "size": 953504, "path": "Publication:klein_2019_PMP", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "klein_2019_PMP-paper.pdf", "type": "application/pdf", "size": 3283919, "path": "Publication:klein_2019_PMP", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "suppl", "main_file": false, "use_in_gallery": false, "access": "public", "name": "klein_2019_PMP-suppl.pdf", "type": "application/pdf", "size": 229898, "path": "Publication:klein_2019_PMP", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-suppl.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-suppl:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/", "__class": "Publication" }, { "id": "horvath-2018-ism", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Image-Space Metaballs Using Deep Learning", "date": "2019-07-24", "abstract": "Metaballs are a type of implicit surface that are used to model organic-looking shapes and fluids. Accurate rendering of three-dimensional metaballs is typically done using ray-casting, which is computationally expensive and not suitable for real-time applications, therefore di˙erent approximate methods for rendering metaballs have been developed.\nIn this thesis, the foundations of metaballs and neural networks are discussed, and a new approach to rendering metaballs using Deep Learning that is fast enough for use in real-time applications is presented. The system uses an image-to-image translation approach. For that, first the metaballs are rendered using a very simplified representation to an image. This image is then used as input to a neural network that outputs a depth, normal and base color bu˙er that can be combined using a deferred shading renderer to produce a final image.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 355, "image_height": 237, "name": "horvath-2018-ism-image.JPG", "type": "image/jpeg", "size": 28384, "path": "Publication:horvath-2018-ism", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/horvath-2018-ism/horvath-2018-ism-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/horvath-2018-ism/horvath-2018-ism-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1561 ], "date_end": "2019-07-24", "date_start": "2018", "matrikelnr": "01025519", "supervisor": [ 171 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 355, "image_height": 237, "name": "horvath-2018-ism-image.JPG", "type": "image/jpeg", "size": 28384, "path": "Publication:horvath-2018-ism", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/horvath-2018-ism/horvath-2018-ism-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/horvath-2018-ism/horvath-2018-ism-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "horvath-2018-ism-Master Thesis.pdf", "type": "application/pdf", "size": 19182819, "path": "Publication:horvath-2018-ism", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/horvath-2018-ism/horvath-2018-ism-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/horvath-2018-ism/horvath-2018-ism-Master Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/horvath-2018-ism/", "__class": "Publication" }, { "id": "takahashi-2019-acdt", "type_id": "journalpaper_notalk", "tu_id": 283264, "repositum_id": null, "title": "Mental Map Preservation for Progressively Labeling Railway Networks", "date": "2019-06", "abstract": "Schematizing railway networks for better readability is often achieved by aligning railway lines along the octilinear directions. However, such railway map layouts require further adjustment when placing station name labels. In this article, the authors present a novel approach to automating the placement of station names around the railway network while maximally respecting its original layout as the mental map. The key idea is to progressively annotate stations from congested central downtown areas to sparse rural areas. This is accomplished by introducing the sum of geodesic distances over the railway network to properly order the stations to be annotated first, and then elongating the line segments of the railway network while retaining their directions to spare enough labeling space around each station. Additional constraints are also introduced to restrict the aspect ratios of the region confined by the railway network for better preservation of the mental map.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "takahashi-2019-acdt-image.png", "type": "image/png", "size": 29890, "path": "Publication:takahashi-2019-acdt", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/takahashi-2019-acdt-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/takahashi-2019-acdt-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1580, 1625, 1626, 1464, 1676, 1627 ], "doi": "https://doi.org/10.4018/IJACDT.2019010103", "journal": "International Journal of Art, Culture and Design Technologies", "number": "1", "pages_from": "31", "pages_to": "50", "volume": "8", "research_areas": [ "IllVis", "InfoVis" ], "keywords": [ "Geodesic Distances", "Mental Maps", "Mixed-Integer Programming", "Progressive Annotation", "Railway Maps", "Schematic Layouts" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "takahashi-2019-acdt-image.png", "type": "image/png", "size": 29890, "path": "Publication:takahashi-2019-acdt", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/takahashi-2019-acdt-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/takahashi-2019-acdt-image:thumb{{size}}.png" }, { "description": null, "filetitle": "pdf", "main_file": true, "use_in_gallery": false, "access": "public", "name": "takahashi-2019-acdt-pdf.pdf", "type": "application/pdf", "size": 1599109, "path": "Publication:takahashi-2019-acdt", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/takahashi-2019-acdt-pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/takahashi-2019-acdt-pdf:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/", "__class": "Publication" }, { "id": "miao_nantech_2019", "type_id": "poster", "tu_id": 283265, "repositum_id": null, "title": "Interactive Visual Analysis for the Design of DNA Nanostructures", "date": "2019-05-27", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 647, "preview_image_height": 918, "name": "miao_nantech_2019-.pdf", "type": "application/pdf", "size": 2548866, "path": "Publication:miao_nantech_2019", "preview_name": "miao_nantech_2019-:preview.png", "preview_type": "image/png", "preview_size": 470720, "url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_nantech_2019/miao_nantech_2019-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_nantech_2019/miao_nantech_2019-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263, 1474, 171, 1473 ], "date_from": "2019-05-27", "date_to": "2019-05-29", "event": "NANTECH 2019 – Nucleic Acid Nanotechnology: From Algorithmic Design to Biochemical Applications – Espoo, Finland", "research_areas": [ "BioVis", "IllVis", "Modeling" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 647, "preview_image_height": 918, "name": "miao_nantech_2019-.pdf", "type": "application/pdf", "size": 2548866, "path": "Publication:miao_nantech_2019", "preview_name": "miao_nantech_2019-:preview.png", "preview_type": "image/png", "preview_size": 470720, "url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_nantech_2019/miao_nantech_2019-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_nantech_2019/miao_nantech_2019-:thumb{{size}}.png" } ], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_nantech_2019/", "__class": "Publication" }, { "id": "plank-2017-sldg", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/8559", "title": "Effective Line Drawing Generation", "date": "2019-05-27", "abstract": "Advanced rendering algorithms such as suggestive contours are able to depict objects in the style of line drawings with various levels of detail. How to select an appropriate level of detail is based on visual aesthetics rather than on substantial characteristics like the accuracy of 3D shape perception. The aim of this thesis is to develop a novel approach for effectively generating line drawings in the style of suggestive contours that are optimized for human 3D shape perception while retaining the amount of ink to a minimum. The proposed post-processing meta-heuristic for optimizing line drawings uses empirical thresholds based on probing human shape perception. The heuristic can also\nbe used to optimize line drawings in terms of other visual characteristics, e.g., cognitive load, and for other line drawings styles such as ridges and valleys.\nThe optimization routine is based on a conducted perceptual user study using the gauge figure task to collect more than 17, 000 high-quality user estimates of surface normals from suggestive contours renderings. By analyzing these data points, more in-depth understanding of how humans perceive 3D shape from line drawings is gained. Particularly the accuracy of 3D shape perception and shape ambiguity in regards to changing the level of detail and type of object presented is investigated. In addition, the collected data points are used to calculate two pixel-based perceptual characteristics: the optimal size of a local neighborhood area to estimate 3D shape from and the optimal local ink percentage in this area.\nIn the analysis, a neighborhood size of 36 pixels with an optimal ink percentage of\n17.3% could be identified. These thresholds are used to optimize suggestive contours\nrenderings in a post-processing stage using a greedy nearest neighbor optimization scheme.\nThe proposed meta-heuristic procedure yields visually convincing results where each\npixel value is close to the identified thresholds. In terms of practical application, the optimization scheme can be used in areas where high 3D shape understanding is essential such as furniture manuals or architectural renderings. Both the empirical results regarding shape understanding as well as the practical applications of the thesis’s results form the basis to optimize other line drawing methods and to understand better how humans\nperceive shape from lines.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 192, "image_height": 190, "name": "plank-2017-sldg-image.JPG", "type": "image/jpeg", "size": 16355, "path": "Publication:plank-2017-sldg", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/plank-2017-sldg/plank-2017-sldg-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/plank-2017-sldg/plank-2017-sldg-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1293 ], "date_end": "2019-05-27", "date_start": "2017-07-01", "diploma_examina": "2019-05-27", "doi": "10.34726/hss.2018.56226", "matrikelnr": "1225804", "open_access": "yes", "pages": "84", "supervisor": [ 171 ], "research_areas": [ "IllVis", "Perception" ], "keywords": [ "visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 192, "image_height": 190, "name": "plank-2017-sldg-image.JPG", "type": "image/jpeg", "size": 16355, "path": "Publication:plank-2017-sldg", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/plank-2017-sldg/plank-2017-sldg-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/plank-2017-sldg/plank-2017-sldg-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "plank-2017-sldg-Master Thesis.pdf", "type": "application/pdf", "size": 17505561, "path": "Publication:plank-2017-sldg", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/plank-2017-sldg/plank-2017-sldg-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/plank-2017-sldg/plank-2017-sldg-Master Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/plank-2017-sldg/", "__class": "Publication" }, { "id": "wu-2019-bmc", "type_id": "journalpaper_notalk", "tu_id": 280645, "repositum_id": null, "title": "Metabopolis: Scalable Network Layout for Biological Pathway Diagrams in Urban Map Style", "date": "2019-05-15", "abstract": "Background\nBiological pathways represent chains of molecular interactions in biological systems that jointly form complex dynamic networks. The network structure changes from the significance of biological experiments and layout algorithms often sacrifice low-level details to maintain high-level information, which complicates the entire image to large biochemical systems such as human metabolic pathways.\n\nResults\nOur work is inspired by concepts from urban planning since we create a visual hierarchy of biological pathways, which is analogous to city blocks and grid-like road networks in an urban area. We automatize the manual drawing process of biologists by first partitioning the map domain into multiple sub-blocks, and then building the corresponding pathways by routing edges schematically, to maintain the global and local context simultaneously. Our system incorporates constrained floor-planning and network-flow algorithms to optimize the layout of sub-blocks and to distribute the edge density along the map domain. We have developed the approach in close collaboration with domain experts and present their feedback on the pathway diagrams based on selected use cases.\n\nConclusions\nWe present a new approach for computing biological pathway maps that untangles visual clutter by decomposing large networks into semantic sub-networks and bundling long edges to create space for presenting relationships systematically.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2019-bmc-image.png", "type": "image/png", "size": 107492, "path": "Publication:wu-2019-bmc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1579, 1673, 171 ], "doi": "http://doi.org/10.1186/s12859-019-2779-4", "journal": "BMC Bioinformatics", "number": "187", "pages_from": "1", "pages_to": "20", "volume": "20", "research_areas": [ "BioVis", "IllVis", "InfoVis" ], "keywords": [ "Biological pathways", "Graph drawing", "Mapmetaphor", "Orthogonallayout", "Floorplanning", "Edgerouting" ], "weblinks": [ { "href": "https://www.youtube.com/watch?v=AhWCIGTxqAg", "caption": "video", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2019-bmc-image.png", "type": "image/png", "size": 107492, "path": "Publication:wu-2019-bmc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2019-bmc-paper.pdf", "type": "application/pdf", "size": 8528804, "path": "Publication:wu-2019-bmc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration", "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/", "__class": "Publication" }, { "id": "Riegelnegg_2019", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Conveying a Sense of Scale in 3D Planetary Environments", "date": "2019-05-05", "abstract": "3D visualizations of Mars enable scientists to explore the Martian surface in great detail and play an essential role in planetary science, mission planning, and the communication of scientific findings. Due to the unfamiliar environment depicted in these visualizations, conveying a sense of scale is necessary. In this thesis, we characterize the problem space of conveying scale in 3D visualizations of Mars projected onto a 2D screen and design\nrepresentations that satisfy the requirements of specific use cases. We discuss challenges posed by different types of scale, magnitudes of scale, use cases, and levels of expertise.\nThe designed representations include scale-bars, scale-boxes, known-object comparison,\ntrue-layer-thickness, contour-lines, vertical exaggeration, distance shading, and landing ellipses. We received informal feedback for each representation from a planetary scientist and conducted an experiment for known-object comparison with 20 non-experts. The feedback suggests that our representations are capable of conveying a sense of scale in 3D visualizations of Mars for their specific use cases.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 236, "image_height": 163, "name": "Riegelnegg_2019-image.JPG", "type": "image/jpeg", "size": 13110, "path": "Publication:Riegelnegg_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Riegelnegg_2019/Riegelnegg_2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Riegelnegg_2019/Riegelnegg_2019-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1655 ], "date_end": "2019-05-05", "date_start": "2018-12-10", "matrikelnr": "00510453", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Riegelnegg_2019-Bachelor Thesis.pdf", "type": "application/pdf", "size": 10791049, "path": "Publication:Riegelnegg_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Riegelnegg_2019/Riegelnegg_2019-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Riegelnegg_2019/Riegelnegg_2019-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 236, "image_height": 163, "name": "Riegelnegg_2019-image.JPG", "type": "image/jpeg", "size": 13110, "path": "Publication:Riegelnegg_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Riegelnegg_2019/Riegelnegg_2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Riegelnegg_2019/Riegelnegg_2019-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Riegelnegg_2019/", "__class": "Publication" }, { "id": "wu-2019-report", "type_id": "techreport", "tu_id": 283365, "repositum_id": null, "title": "From Cells to Atoms - Biological Information Visualization (in Chinese)", "date": "2019-03-01", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1263, 171 ], "number": "TR-193-02-2019-1", "open_access": "no", "research_areas": [ "BioVis", "IllVis", "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://dl.ccf.org.cn/institude/institudeDetail?id=4320599515842560&_ack=1", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2019-report-paper.pdf", "type": "application/pdf", "size": 8399742, "path": "Publication:wu-2019-report", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-report/wu-2019-report-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-report/wu-2019-report-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-report/", "__class": "Publication" }, { "id": "waldin-2019-ccm", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Cuttlefish: Color Mapping for Dynamic Multi‐Scale Visualizations", "date": "2019-03", "abstract": "Visualizations of hierarchical data can often be explored interactively. For example, in geographic visualization, there are continents, which can be subdivided into countries, states, counties and cities. Similarly, in models of viruses or bacteria at the highest level are the compartments, and below that are macromolecules, secondary structures (such as α‐helices), amino‐acids, and on the finest level atoms. Distinguishing between items can be assisted through the use of color at all levels. However, currently, there are no hierarchical and adaptive color mapping techniques for very large multi‐scale visualizations that can be explored interactively. We present a novel, multi‐scale, color‐mapping technique for adaptively adjusting the color scheme to the current view and scale. Color is treated as a resource and is smoothly redistributed. The distribution adjusts to the scale of the currently observed detail and maximizes the color range utilization given current viewing requirements. Thus, we ensure that the user is able to distinguish items on any level, even if the color is not constant for a particular feature. The coloring technique is demonstrated for a political map and a mesoscale structural model of HIV. The technique has been tested by users with expertise in structural biology and was overall well received.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Multiple color zoom levels. ", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 509, "image_height": 447, "name": "waldin-2019-ccm-teaser.png", "type": "image/png", "size": 690229, "path": "Publication:waldin-2019-ccm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/waldin-2019-ccm-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/waldin-2019-ccm-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1339, 1110, 1189, 166, 1365, 1260, 1475, 171 ], "doi": "10.1111/cgf.13611", "journal": "Computer Graphics Forum", "number": "6", "pages_from": "150", "pages_to": "164", "volume": "38", "research_areas": [ "BioVis", "IllVis", "InfoVis" ], "keywords": [ "multiscale visualization", "illustrative visualization", "molecular visualization" ], "weblinks": [ { "href": "https://onlinelibrary.wiley.com/doi/10.1111/cgf.13611", "caption": "Open Access Article in Wiley Online Library", "description": null, "main_file": 1 } ], "files": [ { "description": "Multiple color zoom levels. ", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 509, "image_height": 447, "name": "waldin-2019-ccm-teaser.png", "type": "image/png", "size": 690229, "path": "Publication:waldin-2019-ccm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/waldin-2019-ccm-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/waldin-2019-ccm-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/", "__class": "Publication" }, { "id": "donabauer_2019_1", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "VR-Client for Scenario-based Response Training in Disaster Management", "date": "2019-01-23", "abstract": "In times of natural disasters like floods, the fast action of domain experts saves human lives and reduces high damages of the urban infrastructure. The training of different response plans of the responsible personnel should help in making the right decisions in time critical situations. As the creation of various physical training environments takes plenty of time, the use of virtual reality (VR) is a possible alternative. In recent years, different application domains with training purpose have been shifted to make use of the new developments in the field of VR. The desired benefits are a more flexible\ngeneration of different realistic training environments with low budget and material\nresources. Additionally, the VR application can serve as a public communication tool\nto raise the sense of awareness. Based on these considerations, the aim of this work\nis to create a VR training application to steer a remote flood simulation. The goal of the application is to provide a safe and realistic environment to train the responsible personnel. Through providing different scenarios, multiple flood events can be simulated and trained. The placement of barriers through interacting with the virtual environment offers possibilities to mitigate the results of the simulated floods. An Operator-Trainee setup enables the collaborative work between experts and trainees. While the expert works as an operator with a PC client, the trainee is able to perform instructions given\nby the operator within the virtual environment. VR applications demand for high and steady frame rates as well as two high resolution images for both eyes to provide an immersive VR experience. Based on these conditions, appropriate PC hardware is needed to run a VR application in general. Additionally, high computational power is needed to perform the different flood simulations in a fast way. In order to achieve the performance requirements, the VR application is implemented within a client-server\narchitecture. The server is responsible for performing the flood simulation, while the\nclient deals with the VR-related tasks. These tasks comprise the visualization of the simulation data in VR and a fast and efficient processing of the data. In combination with a high performance rendering engine and graphic commands suitable for the given data, the desired performance can be achieved. As the feeling of immersion is highly depending on the provided frame rates, the evaluation of this first prototype is based on the achieved rendering performance. This is measured and evaluated based on two\ndifferent implementation strategies. Another important measurement is the update time of the water flow. A comparison of a CPU and a GPU implementation is presented\nwithin the evaluation.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 367, "image_height": 312, "name": "donabauer_2019_1-image.PNG", "type": "image/png", "size": 237628, "path": "Publication:donabauer_2019_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1266 ], "date_end": "2019-01-23", "date_start": "2017-07-06", "matrikelnr": "01226287", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 367, "image_height": 312, "name": "donabauer_2019_1-image.PNG", "type": "image/png", "size": 237628, "path": "Publication:donabauer_2019_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "donabauer_2019_1-Master thesis.pdf", "type": "application/pdf", "size": 20661653, "path": "Publication:donabauer_2019_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-Master thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "donabauer_2019_1-Poster.pdf", "type": "application/pdf", "size": 4659101, "path": "Publication:donabauer_2019_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/", "__class": "Publication" }, { "id": "Miao_2019", "type_id": "journalpaper_notalk", "tu_id": 272339, "repositum_id": null, "title": "Multiscale Molecular Visualization", "date": "2019-01", "abstract": "We provide a high-level survey of multiscale molecular visualization techniques, with a focus on application-domain questions, challenges, and tasks. We provide a general introduction to molecular visualization basicsand describe a number of domain-specific tasks that drive this work. These tasks, in turn, serve as the generalstructure of the following survey. First, we discuss methods that support the visual analysis of moleculardynamics simulations. We discuss, in particular, visual abstraction and temporal aggregation. In the secondpart, we survey multiscale approaches that support the design, analysis, and manipulation of DNAnanostructures and related concepts for abstraction, scale transition, scale-dependent modeling, andnavigation of the resulting abstraction spaces. In the third part of the survey, we showcase approaches thatsupport interactive exploration within large structural biology assemblies up to the size of bacterial cells.We describe fundamental rendering techniques as well as approaches for element instantiation, visibilitymanagement, visual guidance, camera control, and support of depth perception. We close the survey with abrief listing of important tools that implement many of the discussed approaches and a conclusion thatprovides some research challenges in the field.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 323, "image_height": 240, "name": "Miao_2019-image.JPG", "type": "image/jpeg", "size": 32385, "path": "Publication:Miao_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/Miao_2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/Miao_2019-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263, 1285, 1383, 935, 1605, 166, 1248, 960, 171 ], "doi": "10.1016/j.jmb.2018.09.004.", "first_published": "2018-09", "journal": "Journal of Molecular Biology", "number": "31", "open_access": "no", "pages_from": "1049", "pages_to": "1070", "volume": "6", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "molecular visualization", "molecular dynamics", "modelitics", "DNA nanotechnology", "visual abstraction" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 323, "image_height": 240, "name": "Miao_2019-image.JPG", "type": "image/jpeg", "size": 32385, "path": "Publication:Miao_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/Miao_2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/Miao_2019-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Miao_2019-Paper.pdf", "type": "application/pdf", "size": 6728324, "path": "Publication:Miao_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/Miao_2019-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/Miao_2019-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/", "__class": "Publication" }, { "id": "mindek-2018-fyi", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "Molecular Visualization", "date": "2018-11-10", "abstract": "Molecular visualization allows us to display nanoworlds of bacteria and viruses, which would otherwise be impossible to show at such level of fidelity", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 559, "image_height": 558, "name": "mindek-2018-fyi-teaser.png", "type": "image/png", "size": 197987, "path": "Publication:mindek-2018-fyi", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/mindek-2018-fyi-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/mindek-2018-fyi-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935 ], "event": "FYI: Informationsdesign Konferenz Wien", "lecturer": [ 935 ], "location": "Nordbahn-Halle, Vienna", "open_access": "yes", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "molecular visualization", "biology", "education" ], "weblinks": [ { "href": "https://www.youtube.com/watch?v=ROzwq5k5d9Q", "caption": "video of the talk", "description": null, "main_file": 0 }, { "href": "https://fyi-conference.com/", "caption": "conference website", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "mindek-2018-fyi-Slides.pdf", "type": "application/pdf", "size": 12247817, "path": "Publication:mindek-2018-fyi", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/mindek-2018-fyi-Slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/mindek-2018-fyi-Slides:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 559, "image_height": 558, "name": "mindek-2018-fyi-teaser.png", "type": "image/png", "size": 197987, "path": "Publication:mindek-2018-fyi", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/mindek-2018-fyi-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/mindek-2018-fyi-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/", "__class": "Publication" }, { "id": "Melo_2018_11", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Transfer Function Widget for Tri-Modal Volume Exploration", "date": "2018-11-06", "abstract": "Volumetric visualization is an essential tool in medical studies and materials science, as it enables the analysis and exploration of the inner structure of objects. With the introduction of new equipment and techniques, the datasets become more complex, making it an increasingly common task in material analysis to handle three modalities at once. For instance, a single industrial computed-tomography scan of an object can\noutput absorption contrast, differential phase contrast and dark-field contrast volumes (modalities). However, modern software is falling behind with these advancements, as they still do not provide dedicated tools for this use. This thesis aims to test the feasibility of a transfer function user interface for tri-modal datasets, with a focus on usability, taking\ninto consideration the needs of material analysis experts. The development process (from the initial concepts to a software prototype) is described, and the resulting tool, developed as a module for open_iA (a visual analysis and volumetric processing application), is presented. It uses the standard 1D color-opacity transfer function for each modality together with a barycentric coordinates method to blend the three modalities together.\nFor the modalities of an industrial computed-tomography dataset (absorption contrast, differential phase contrast and dark-field contrast), the tool can successfully accelerate and facilitate volume exploration.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 248, "image_height": 247, "name": "Melo_2018_11-image.PNG", "type": "image/png", "size": 27476, "path": "Publication:Melo_2018_11", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/Melo_2018_11-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/Melo_2018_11-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1610 ], "date_end": "2018-11-06", "date_start": "2018-03-01", "matrikelnr": "01429462", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Melo_2018_11-Bachelor Thesis.pdf", "type": "application/pdf", "size": 15012365, "path": "Publication:Melo_2018_11", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/Melo_2018_11-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/Melo_2018_11-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 248, "image_height": 247, "name": "Melo_2018_11-image.PNG", "type": "image/png", "size": 27476, "path": "Publication:Melo_2018_11", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/Melo_2018_11-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/Melo_2018_11-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/", "__class": "Publication" }, { "id": "sbardellati_ba_2018", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Exploded Views for Presenting DNA Nano-Structures", "date": "2018-11-02", "abstract": "As the complexity of computer-aided-designed DNA nano-structures progresses day by day, the presentation of these structures is becoming complex. To tackle the main presentation problem, visual occlusion of structure components, we developed a semiautomated method to create effective interactive exploded views for DNA nano-structures, especially for educational purposes. This is done by displacing selected components of a DNA nano-structure based on the four key parameters explosion direction, distance,\norder and component selection. In this thesis we describe three different strategies of choosing the explosion direction, with two of them being defined by the object structure and one by the user. For the two structure defined approaches a method to calculate the explosion distance and three different explosion orders is described. The explosion components for these two approaches are defined by the hierarchical structure of the dataset, that describes the object. The user defined approach lets the user decide on the explosion distance and features one possible explosion order. It also lets the user select the explosion components arbitrarily. The developed application additionally features the possibility to animate an explosion and to use easing in these animations. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 227, "image_height": 235, "name": "sbardellati_ba_2018-image.PNG", "type": "image/png", "size": 82795, "path": "Publication:sbardellati_ba_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/sbardellati_ba_2018-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/sbardellati_ba_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1555 ], "date_end": "2018-11-02", "date_start": "2018-03-19", "matrikelnr": "01526262", "supervisor": [ 171, 1263 ], "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "sbardellati_ba_2018-Bachelor Thesis.pdf", "type": "application/pdf", "size": 12130913, "path": "Publication:sbardellati_ba_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/sbardellati_ba_2018-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/sbardellati_ba_2018-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 227, "image_height": 235, "name": "sbardellati_ba_2018-image.PNG", "type": "image/png", "size": 82795, "path": "Publication:sbardellati_ba_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/sbardellati_ba_2018-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/sbardellati_ba_2018-image:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/", "__class": "Publication" }, { "id": "Niedermayer_2018", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Real-Time Shadows for Large-Scale Geospatial Visualization", "date": "2018-10-23", "abstract": "A flood is an often unforeseen event, which can happen at any time and causes enormous\ndamage. Simulations are used to predict risks and respond to them early, like in the decision-support system Visdom. The real-time application is useful and offers many possibilities, e.g., simulations of the rising of the river over a certain time or the building of barriers. However, there is a lack of a true-to-life representation of the entire scene, which is important, as the visualization of the results must be understandable also for non-experts, such as decision-makers or the general public. More precisely, shadows are missing in the application so far, although they are particularly well suited to recognize\nrelations of objects to each other.\nThis bachelor thesis covers the implementation of shadows in Visdom to increase the realism of the scene. This is very complex for such big scenes on city or even country scale and requires many self-developed strategies, as there are no ready-made solutions.\nWe present an adaptation of the cascaded shadow maps algorithm, which provides a good way to subdivide the scene for better results in shadow quality. Further improvements are presented to increase the quality of the resulting shadows, as well as avoid occurring artifacts. The result of this work is a flexible visualization of soft shadows for a variety of different-sized scenes in real time, which increase the realism and spatial perception\nand further do not influence the performance too much.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 458, "image_height": 213, "name": "Niedermayer_2018-image.JPG", "type": "image/jpeg", "size": 31728, "path": "Publication:Niedermayer_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/Niedermayer_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/Niedermayer_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1638 ], "date_end": "2018-10-23", "date_start": "2018-01-20", "matrikelnr": "01227211", "supervisor": [ 190 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Niedermayer_2018-Bachelor Thesis.pdf", "type": "application/pdf", "size": 19298736, "path": "Publication:Niedermayer_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/Niedermayer_2018-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/Niedermayer_2018-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 458, "image_height": 213, "name": "Niedermayer_2018-image.JPG", "type": "image/jpeg", "size": 31728, "path": "Publication:Niedermayer_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/Niedermayer_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/Niedermayer_2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/", "__class": "Publication" }, { "id": "Deutsch-2018", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Generating seating plan images using clustering and concave hull algorithms", "date": "2018-10-21", "abstract": "This study presents a process of generating seating plan images for the Ticket Gretchen\napp. The app offers the ability to buy tickets for theaters and similar venues by using\nan interactive seating plan. A seating plan image is a venue’s abstract visualization\ndefined by the seating layout of a performance. It should give an impression of the spatial\nstructure to see which seats are in reach of each other. The proposed automated solution\nof generating these images replaces the previously used process of creating the seating\nplan images manually. The image is made up of polygons representing seat groups that\nshow the user which seats are near each other and which are separated from each other.\nThe grouping of seats is done with the DBSCAN clustering algorithm using the seats’ 2D\nposition, sector and box information. For the computation of the polygons two concave\nhull algorithms are compared.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1000, "image_height": 953, "name": "Deutsch-2018-image.png", "type": "image/png", "size": 78508, "path": "Publication:Deutsch-2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/Deutsch-2018-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/Deutsch-2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1592 ], "date_end": "2018-10-21", "date_start": "2018-05-23", "matrikelnr": "01327587", "supervisor": [ 1464 ], "research_areas": [ "IllVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Deutsch-2018-Bachelor Thesis.pdf", "type": "application/pdf", "size": 6601116, "path": "Publication:Deutsch-2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/Deutsch-2018-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/Deutsch-2018-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1000, "image_height": 953, "name": "Deutsch-2018-image.png", "type": "image/png", "size": 78508, "path": "Publication:Deutsch-2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/Deutsch-2018-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/Deutsch-2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/", "__class": "Publication" }, { "id": "ludwig-2012-MT", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Radial Diagrams for the Visual Analysis of Wind Energy Production Data", "date": "2018-10-10", "abstract": "Wind energy production is a fast growing sector in the field of renewable energy production. In the process of energy production, more and more data is produced and recorded every year. This data is usually worthless without further exploration, analysis, and presentation. This thesis presents a design study of the visual analysis of wind energy production data. The goal is to provide data analysts with tools to carry out common tasks in the field of wind energy production more efficiently. As the data commonly contains directional information of winds and gusts,\nanalysis techniques need to take the circular nature of such data into account.\nThis work proposes a set of techniques for the visualization and interaction with circular data in radial diagrams. The diagrams operate in the polar coordinate system and thus are well suited to solve the problems of maintaining the natural coherence and circular closure of circular data. \nThe thesis discusses important design decisions and gives practical guidance how to implement novel features into an existing software system. Implementation details on how to ensure large data scalability are presented. The work evaluates the results in a case study with real data carried out by an expert in the field of wind energy production. The results indicate an improved work flow of common tasks and a successful system integration. The reported deployment at a\nnational power grid operator further demonstrates the system’s user acceptance and importance. The thesis also reflects on the iterative design process and the within collected expert feedback.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 279, "image_height": 260, "name": "ludwig-2012-MT-image.PNG", "type": "image/png", "size": 45174, "path": "Publication:ludwig-2012-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1138 ], "date_end": "2018-10-10", "date_start": "2012", "matrikelnr": "0526080", "supervisor": [ 451, 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 279, "image_height": 260, "name": "ludwig-2012-MT-image.PNG", "type": "image/png", "size": 45174, "path": "Publication:ludwig-2012-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "ludwig-2012-MT-Master Thesis.pdf", "type": "application/pdf", "size": 16882134, "path": "Publication:ludwig-2012-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ludwig-2012-MT-Poster.pdf", "type": "application/pdf", "size": 711448, "path": "Publication:ludwig-2012-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/", "__class": "Publication" }, { "id": "Konev-FCV2018", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Fast cutaway visualization of sub-terrain tubular networks", "date": "2018-10", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1333, "image_height": 753, "name": "Konev-FCV2018-image.jpg", "type": "image/jpeg", "size": 114614, "path": "Publication:Konev-FCV2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1205, 1380, 171, 1337, 877, 798 ], "doi": "https://doi.org/10.1016/j.cag.2018.07.004", "issn": "0097-8493", "journal": "Computers & Graphics", "number": "5", "open_access": "no", "pages": "25–35", "pages_from": "25", "pages_to": "35", "volume": "75", "research_areas": [ "IllVis", "Rendering" ], "keywords": [ "Cutaway visualization", "Procedural billboarding", "Subsurface networks" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1333, "image_height": 753, "name": "Konev-FCV2018-image.jpg", "type": "image/jpeg", "size": 114614, "path": "Publication:Konev-FCV2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/", "__class": "Publication" }, { "id": "haushofer-2018-skinning", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Dynamic molecular animation: GPU skinning for molecular data", "date": "2018-09", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "preview-image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 597, "image_height": 663, "name": "haushofer-2018-skinning-preview-image.PNG", "type": "image/png", "size": 197912, "path": "Publication:haushofer-2018-skinning", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-preview-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-preview-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1554 ], "co_supervisor": [ 1383 ], "date_end": "2018-09", "date_start": "2018-03", "matrikelnr": "1525970", "supervisor": [ 171 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "preview-image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 597, "image_height": 663, "name": "haushofer-2018-skinning-preview-image.PNG", "type": "image/png", "size": 197912, "path": "Publication:haushofer-2018-skinning", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-preview-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-preview-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "haushofer-2018-skinning-thesis.pdf", "type": "application/pdf", "size": 3180502, "path": "Publication:haushofer-2018-skinning", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "haushofer-2018-skinning-video.webm", "type": "video/webm", "size": 10769911, "path": "Publication:haushofer-2018-skinning", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-video.webm", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/", "__class": "Publication" }, { "id": "miao2018Dimsum", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "DimSUM: Dimension and Scale Unifying Maps for Visual Abstraction of DNA Origami Structures", "date": "2018-06", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 3302, "image_height": 1884, "name": "miao2018Dimsum-Image.png", "type": "image/png", "size": 2858278, "path": "Publication:miao2018Dimsum", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263, 1474, 960, 166, 1473, 171 ], "date_from": "2017-06", "date_to": "2018-06", "event": "EuroVis Conference 2018", "journal": "Computer Graphics Forum", "lecturer": [ 1263 ], "location": "Brno, Czech Republic", "number": "3", "volume": "37", "research_areas": [ "BioVis", "IllVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 3302, "image_height": 1884, "name": "miao2018Dimsum-Image.png", "type": "image/png", "size": 2858278, "path": "Publication:miao2018Dimsum", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "preview_image_width": 3302, "preview_image_height": 1884, "name": "miao2018Dimsum-Paper.pdf", "type": "application/pdf", "size": 50814642, "path": "Publication:miao2018Dimsum", "preview_name": "miao2018Dimsum-Paper:preview.png", "preview_type": "image/png", "preview_size": 2858278, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Recording", "main_file": false, "use_in_gallery": false, "access": "public", "name": "miao2018Dimsum-Recording.mp4", "type": "video/mp4", "size": 236260449, "path": "Publication:miao2018Dimsum", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Recording.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Recording:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Recording:video.mp4" }, { "description": null, "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 3302, "preview_image_height": 1884, "name": "miao2018Dimsum-Video.mp4", "type": "video/mp4", "size": 97832153, "path": "Publication:miao2018Dimsum", "preview_name": "miao2018Dimsum-Video:preview.png", "preview_type": "image/png", "preview_size": 2858278, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Video:video.mp4" } ], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/", "__class": "Publication" }, { "id": "dietrich-2016-viseq2", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "\tSmart Visibility Technique for Linear and Planar Molecular Assemblies", "date": "2018", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1169, "image_height": 691, "name": "dietrich-2016-viseq2-image.jpg", "type": "image/jpeg", "size": 172846, "path": "Publication:dietrich-2016-viseq2", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/dietrich-2016-viseq2-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/dietrich-2016-viseq2-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1384 ], "date_end": "2018-05", "date_start": "2016-10", "matrikelnr": "1026167", "note": "3", "supervisor": [ 171 ], "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1169, "image_height": 691, "name": "dietrich-2016-viseq2-image.jpg", "type": "image/jpeg", "size": 172846, "path": "Publication:dietrich-2016-viseq2", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/dietrich-2016-viseq2-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/dietrich-2016-viseq2-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "dietrich-2016-viseq2-thesis.pdf", "type": "application/pdf", "size": 5627773, "path": "Publication:dietrich-2016-viseq2", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/dietrich-2016-viseq2-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/dietrich-2016-viseq2-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/", "__class": "Publication" }, { "id": "lawonn-2018-illvisstar", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "A Survey of Surface-Based Illustrative Rendering for Visualization", "date": "2018", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1544, 171, 563, 960 ], "doi": "10.1111/cgf.13322", "issn": "1467-8659", "journal": "Computer Graphics Forum", "number": "NN", "open_access": "no", "pages": "n/a–n/a", "research_areas": [ "IllVis" ], "keywords": [ "scientific visualization", "visualization", "Categories and SubjectDescriptors (according to ACM CCS): I.3.3 [Computer Graphics]:Picture/Image GenerationLine and curve generation" ], "weblinks": [], "files": [], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/lawonn-2018-illvisstar/", "__class": "Publication" }, { "id": "miao_kaust_2018", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Abstraction and Modeling in DNA Nanotechnology", "date": "2017-12-14", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263 ], "date_from": "2018-12-14", "date_to": "2018-12-14", "event": "Workshop @ Visual Computing Center, KAUST", "location": "King Abdullah University of Science and Technology, Saudi Arabia", "research_areas": [ "IllVis", "Modeling" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_kaust_2018/", "__class": "Publication" }, { "id": "kroesl_x_card_2017", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2017", "date": "2017-12", "abstract": "This Christmas we want to illuminate your holidays with luminaires specifically designed for this occasion. The festive scene on this card features semi-translucent luminaires in the shape of christmas trees. The light distribution of the corresponding luminaire model was simulated in LiteMaker,an interactive luminaire development tool that was developed at TU Wien and VRVis. LiteMaker provides interactive editing functionality and very fast high-quality previews of the final physically correct simulated light distribution of a luminaire model. The final scene and light distributions were rendered using our light­\nplanning software HILITE.\n\nDie weihnachtliche Szene auf dieser Karte wird durch Leuchten in Form von Christbäumen erhellt. Für das Lichtdesign der Szene wurde LiteMaker verwendet, ein an der TU Wien und am VRVis entwickeltes interaktives Entwicklungswerkzeug fur Beleuchtungskörper. Durch interaktives Bearbeiten, und sehr schnelle aber dennoch hochwertige physikalisch korrekte Vorschaubilder, ermöglicht LiteMaker ein rascheres Design von Beleuchtungskonzepten. Die fertige Szene wurde anschließend in unserer Lichtsimuationssoftware HILITE gerendert.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "X max 2017", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1030, "image_height": 730, "name": "kroesl_x_card_2017-X max 2017.JPG", "type": "image/jpeg", "size": 83593, "path": "Publication:kroesl_x_card_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/kroesl_x_card_2017-X max 2017.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/kroesl_x_card_2017-X max 2017:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1030, 1116 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "X Mas card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl_x_card_2017-X Mas card.pdf", "type": "application/pdf", "size": 998745, "path": "Publication:kroesl_x_card_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/kroesl_x_card_2017-X Mas card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/kroesl_x_card_2017-X Mas card:thumb{{size}}.png" }, { "description": null, "filetitle": "X max 2017", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1030, "image_height": 730, "name": "kroesl_x_card_2017-X max 2017.JPG", "type": "image/jpeg", "size": 83593, "path": "Publication:kroesl_x_card_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/kroesl_x_card_2017-X max 2017.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/kroesl_x_card_2017-X max 2017:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/", "__class": "Publication" }, { "id": "Waldner_2017_11", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Guiding Attention in Complex Visualizations using Flicker", "date": "2017-11-17", "abstract": "Drawing the user’s gaze to an important item in an image or a graphical user interface is a common challenge. Usually, some form of highlighting is used, such as a clearly distinct color or a border around the item. Flicker is also a strong visual attractor in the entire visual field, without distorting, suppressing, or adding any scene elements. While it is very salient, it is often perceived as annoying. In this talk, I will present our research on how flicker can be used as attention guidance technique in cluttered visualizations while lowering its negative side-effects. In particular, I will first present results of studies examining a two-stage flicker technique for dynamic visualizations on large displays. Then, I will present we our explorations of high frequency flicker (60 to 72 Hz) to guide the user’s attention in images. At such high frequencies, the critical flicker frequency (CFF) threshold is reached, which makes the flicker appear to fuse into a stable signal. However, the CFF is not uniform across the visual field, but is higher in the peripheral vision at normal lighting conditions. We show that high frequency flicker, using personalized attributes like patch size and luminance, can be easily detected by observers in the peripheral vision, but the signal is hardly visible in the foveal vision when users directly look at the flickering patch. We demonstrate that this property can be used to draw the user’s attention to important image regions using a standard high refresh-rate computer monitor with minimal visible modifications to the image.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1110 ], "event": "S&T Cooperation Austria-Czech Republic", "location": "Czech Technical University", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Waldner_2017_11/", "__class": "Publication" }, { "id": "Kouril_2017_11", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Challenges and advances in multi-scale biology data visualization", "date": "2017-11-16", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1163, "image_height": 651, "name": "Kouril_2017_11-.PNG", "type": "image/png", "size": 525843, "path": "Publication:Kouril_2017_11", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kouril_2017_11/Kouril_2017_11-.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kouril_2017_11/Kouril_2017_11-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1383 ], "event": "S&T Cooperation Austria-Czech Republic", "location": "Czech Technical University", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1163, "image_height": 651, "name": "Kouril_2017_11-.PNG", "type": "image/png", "size": 525843, "path": "Publication:Kouril_2017_11", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kouril_2017_11/Kouril_2017_11-.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kouril_2017_11/Kouril_2017_11-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kouril_2017_11/", "__class": "Publication" }, { "id": "sorger-2017-thesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Integration Strategies in the Visualization of Multifaceted Spatial Data", "date": "2017-09-26", "abstract": "Visualization designers have several visual channels at their disposal for encoding data into visual representations, e.g., position, size, shape, orientation, color, texture, brightness, as well as motion. The mapping of attributes to visual channels can be chosen by the designer. In theory, any data attribute can be represented by any of these visual channels or by a combination of multiple of these channels. In practice, the optimal mapping and the most suitable type of visualization strongly depend on the data as well as on the user's task. In the visualization of spatial data, the mapping of spatial attributes to visual channels is inherently given by the data. Multifaceted spatial data possesses a wide range of additional (non-spatial) attributes without a given mapping. The data's given spatial context is often important for successfully fulfilling a task. The design space in spatial data visualization can therefore be heavily constrained when trying to choose an optimal mapping for other attributes within the spatial context. To solve an exploration or presentation task in the domain of multifaceted spatial data, special strategies have to be employed in order to integrate the essential information from the various data facets in an appropriate representation form with the spatial context.\nThis thesis explores visualization integration strategies for multifaceted spatial data. The first part of this thesis describes the design space of integration in terms of two aspects: visual and functional integration. Visual integration describes how representations of the different data facets can be visually composed within a spatial context. Functional integration, describes how events that have been triggered, for instance, through user interaction, can be coordinated across the various visually integrated representations.\nThe second part of this thesis describes contributions to the field of visualization in the context of concrete integration applications for exploration and presentation scenarios. The first scenario addresses a set of challenges in the exploratory analysis of multifaceted spatial data in the scope of a decision making scenario in lighting design. The user's task is to find an optimal lighting solution among dozens or even hundreds of potential candidates. In the scope of a design study, the challenges in lighting design are addressed with LiteVis, a system that integrates representations of the simulation parameter space with representations of all relevant aspects of the simulation output. The integration of these heterogeneous aspects together with a novel ranking visualization are thereby the key to enabling an efficient exploration and comparison of lighting parametrizations.\nIn presentation scenarios, the generation of insights often cannot rely on user interaction and therefore needs a different approach. The challenge is to generate visually appealing, yet information-rich representations for mainly passive observation. In this context, this thesis addresses two different challenges in the domain of molecular visualization. The first challenge concerns the conveying of relations between two different representations of a molecular data set, such as a virus. The relation is established via animated transitions - a temporal form of integration between two representations. The proposed solution features a novel technique for creating such transitions that are re-usable for different data sets, and can be combined in a modular fashion. \nAnother challenge in presentation scenarios of multifaceted spatial data concerns the presentation of the transition between development states of molecular models, where the actual biochemical process of the transition is not exactly known or it is too complex to represent. A novel technique applies a continuous abstraction of both model representations to a level of detail at which the relationship between them can be accurately conveyed, in order to overcome a potential indication of false relationship information. Integration thereby brings the different abstraction levels and the different model states into relation with each other. The results of this thesis clearly demonstrate that integration is a versatile tool in overcoming key challenges in the visualization of multifaceted spatial data.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "overview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1768, "image_height": 1186, "name": "sorger-2017-thesis-overview.png", "type": "image/png", "size": 836988, "path": "Publication:sorger-2017-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/sorger-2017-thesis-overview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/sorger-2017-thesis-overview:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1072 ], "co_supervisor": [ 166 ], "date_end": "2017", "date_start": "2013", "reviewer_1": [ 196 ], "reviewer_2": [ 1248 ], "rigorosum": "2017-11-22", "supervisor": [ 171 ], "research_areas": [ "BioVis", "IllVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "overview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1768, "image_height": 1186, "name": "sorger-2017-thesis-overview.png", "type": "image/png", "size": 836988, "path": "Publication:sorger-2017-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/sorger-2017-thesis-overview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/sorger-2017-thesis-overview:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sorger-2017-thesis-thesis.pdf", "type": "application/pdf", "size": 48970349, "path": "Publication:sorger-2017-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/sorger-2017-thesis-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/sorger-2017-thesis-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/", "__class": "Publication" }, { "id": "Viola-Pondering-2017", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Pondering the Concept of Abstraction in (Illustrative) Visualization", "date": "2017-09-04", "abstract": "We explore the concept of abstraction as it is used in visualization, with the ultimate goal of understanding and formally defining it. Researchers so far have used the concept of abstraction largely by intuition without a precise meaning. This lack of specificity\nleft questions on the characteristics of abstraction, its variants, its control, or its ultimate potential for visualization and, in particular, illustrative visualization mostly unanswered. In this paper we thus provide a first formalization of the abstraction concept and discuss how this formalization affects the application of abstraction in a variety of visualization scenarios. Based on this discussion, we derive a number of open questions still waiting to be answered, thus formulating a research agenda for the use of abstraction for the visual representation and exploration of data. This paper, therefore, is intended to provide a contribution to the discussion of the theoretical foundations of our field, rather than attempting to provide a completed and final theory.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 4283, "image_height": 3539, "name": "Viola-Pondering-2017-image.jpg", "type": "image/jpeg", "size": 447826, "path": "Publication:Viola-Pondering-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Viola-Pondering-2017/Viola-Pondering-2017-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Viola-Pondering-2017/Viola-Pondering-2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 960 ], "date_from": "2017", "date_to": "2018", "doi": "10.1109/TVCG.2017.2747545", "event": "Eurovis 2018", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 171, 960 ], "number": "99", "open_access": "yes", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 4283, "image_height": 3539, "name": "Viola-Pondering-2017-image.jpg", "type": "image/jpeg", "size": 447826, "path": "Publication:Viola-Pondering-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Viola-Pondering-2017/Viola-Pondering-2017-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Viola-Pondering-2017/Viola-Pondering-2017-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Viola-Pondering-2017-paper.pdf", "type": "application/pdf", "size": 61554037, "path": "Publication:Viola-Pondering-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Viola-Pondering-2017/Viola-Pondering-2017-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Viola-Pondering-2017/Viola-Pondering-2017-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Viola-Pondering-2017/", "__class": "Publication" }, { "id": "Knapp_2017_CVR", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Explorable Semiconductors: Interacting with Crystal Structures in Virtual Reality", "date": "2017-09", "abstract": "Due to Virtual Reality’s recent rise in popularity, other application areas apart from the entertainment sector have shown interest to use VR applications for their purposes. In this thesis, a VR simulation, which enables the user to maneuver an electron through a virtual semiconductor’s crystalline atomic structure, is devised on behalf of the Institute of Microelectronics at the TU Wien. The application is based upon the cellVIEW framework, which was developed using the Unity game engine to visualize large sets of biomolecular data in real time. At first, background regarding the topic at hand is provided by defining what VR is, how it is achieved and how it has evolved from Charles Wheatstone’s stereoscope to the HTC Vive VR system. Building upon that knowledge, the reader is introduced to the main problems that research in the field of Virtual Reality is currently facing, especially\nconsidering the avoidance of VR sickness. For the development of the simulation devised in the course of this thesis, two main obstacles had to be overcome: moving the user through the virtual world without causing discomfort and handling collisions between the electron and the thousands of atoms in the crystal structure without losing performance.\nTo address the first issue, related work is reviewed and drawn inspiration from. To avoid “vection”, movement in our simulation is limited to the forward direction and external forces are applied to a sphere representing the electron instead of influencing the user himself. To keep the frame-rate high despite the potentially large number of atoms in the virtual scene, a space-partitioning octree data-structure has been implemented.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 453, "image_height": 300, "name": "Knapp_2017_CVR-image.JPG", "type": "image/jpeg", "size": 37150, "path": "Publication:Knapp_2017_CVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Knapp_2017_CVR/Knapp_2017_CVR-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Knapp_2017_CVR/Knapp_2017_CVR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1496 ], "date_end": "2017-09-23", "date_start": "2017-02", "matrikelnr": "1327386", "supervisor": [ 1285 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Knapp_2017_CVR-Bachelor Thesis.pdf", "type": "application/pdf", "size": 8142737, "path": "Publication:Knapp_2017_CVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Knapp_2017_CVR/Knapp_2017_CVR-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Knapp_2017_CVR/Knapp_2017_CVR-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 453, "image_height": 300, "name": "Knapp_2017_CVR-image.JPG", "type": "image/jpeg", "size": 37150, "path": "Publication:Knapp_2017_CVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Knapp_2017_CVR/Knapp_2017_CVR-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Knapp_2017_CVR/Knapp_2017_CVR-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Knapp_2017_CVR/", "__class": "Publication" }, { "id": "Michl_2017_CSV", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Generation and Visualisation of Crystal Structures", "date": "2017-09", "abstract": "The semiconductor industry has been experiencing an inexorable upward trend since its emergence almost 60 years ago, with ever since advancing technology. The development of continually smaller chips makes it possible to integrate small everyday objects such as keys or watches into the digital world. An important component of these chips are transistors, which are built up internally of at least one semiconductor.\nThis thesis deals with these semiconductors and presents a 3D game developed with\nUnity3D, which makes it possible to take look inside a transistor and explore it interactively. The player therefore has control of an electron flying through the crystal. However, this flight through the crystal is not free from obstacles. In the middle of the structure there are consistently occurring oxide layers which, if the electrons speed is too low, prevent the passage and repel the electron. Only at a correspondingly high speed is it possible to tunnel trough them. However, the focus is on the fact that the user can adjust\nthe scene, partly interactively, by means of various parameters and thus can generate\nall possible semiconductor structures. This is not only suitable for viewing and learning different structural shapes and their symmetries, but also changes the playing experience and the degree of difficulty.\nThe implementation is based on cellVIEW, a tool for the visualization of extensive molecular structures, which allows us to perform high-performance rendering of semiconductor structures of often far more than 15 million atoms, which implies, as the results at the end of the work show, really impressively large crystals.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 364, "image_height": 390, "name": "Michl_2017_CSV-image.JPG", "type": "image/jpeg", "size": 37598, "path": "Publication:Michl_2017_CSV", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Michl_2017_CSV/Michl_2017_CSV-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Michl_2017_CSV/Michl_2017_CSV-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1497 ], "date_end": "2017-09", "date_start": "2017-03", "matrikelnr": "01425673", "supervisor": [ 1285 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "preview_image_width": 364, "preview_image_height": 390, "name": "Michl_2017_CSV-Bachelor Thesis.pdf", "type": "application/pdf", "size": 2891193, "path": "Publication:Michl_2017_CSV", "preview_name": "Michl_2017_CSV-Bachelor Thesis:preview.JPG", "preview_type": "image/jpeg", "preview_size": 37598, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Michl_2017_CSV/Michl_2017_CSV-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Michl_2017_CSV/Michl_2017_CSV-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 364, "image_height": 390, "name": "Michl_2017_CSV-image.JPG", "type": "image/jpeg", "size": 37598, "path": "Publication:Michl_2017_CSV", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Michl_2017_CSV/Michl_2017_CSV-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Michl_2017_CSV/Michl_2017_CSV-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Michl_2017_CSV/", "__class": "Publication" }, { "id": "brandstaetter_01", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Implementation and Evaluation of a Fish-Eye Lens for Interactive Visualization of Features in Volumetric Datasets", "date": "2017-08-23", "abstract": "The exploration of data visualisations has become an important task and already reaches beyond scientific purposes. Especially, in material sciences and related industries, data analysis is crucial for the detection of possible error sources or weak spots, that occurred during fabrication, to meet the required quality criteria. open_iA is an open source software that offers such data analysis of computed tomography material data.\nThis thesis addresses the topic of data exploration by implementing and integrating a 2D fish-eye lens into open_iA. The fish-eye lens has been chosen due to its magnification characteristics, that provide focus and context at the same time. The distinct distortion of the fish-eye lens was achieved by applying a thin-plate spline (TPS2) transformation to the dataset.\nBeside the fish-eye lens, there exist many more magic lenses for different kinds of datasets and purposes, which will be introduced in a few words. Furthermore, the hard- and software requirements for the fish-eye lens as well as general design concepts are defined.\nThen, a detailed explanation of the thin-plate spline transformation and its algorithm is given and illustrated with example datasets and step-by-step calculations. Finally, the fish-eye lens is tested for its functionality and usability with material datasets.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 318, "image_height": 291, "name": "brandstaetter_01-image.JPG", "type": "image/jpeg", "size": 29592, "path": "Publication:brandstaetter_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/brandstaetter_01/brandstaetter_01-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/brandstaetter_01/brandstaetter_01-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1502 ], "date_end": "2017-08-23", "date_start": "2017-02", "matrikelnr": "01326465", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "brandstaetter_01-Bachelor Thesis.pdf", "type": "application/pdf", "size": 4447464, "path": "Publication:brandstaetter_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/brandstaetter_01/brandstaetter_01-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/brandstaetter_01/brandstaetter_01-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 318, "image_height": 291, "name": "brandstaetter_01-image.JPG", "type": "image/jpeg", "size": 29592, "path": "Publication:brandstaetter_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/brandstaetter_01/brandstaetter_01-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/brandstaetter_01/brandstaetter_01-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/brandstaetter_01/", "__class": "Publication" }, { "id": "stappen_2017_animatedcomic", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Hybrid Frames - Animated Narrative Sequences in Molecular Visualization", "date": "2017-08", "abstract": "In bio-molecular visualizations animations are used to convey transitions between different representation states. For example, to understand the transition from a physical correct representation of a HIV molecule to an abstract visualization like a bar chart, an animation can be used. This method allows to trace the structures during the transition and therefore brings them into a direct relation. The disadvantage of an animation is that the presented content is fleeting. Therefore, the change over time cannot be compared or investigated in detail. To mitigate this disadvantage, we propose a hybrid visualization composed of an animation and a series of still images. The series of still images allows an overview over the transition and comparison of states, but the relation of the representations may get lost. For this reason, the animation is used. By clicking on a single frame inside the sequence the animation is played starting from the selected frame to the next frame in the sequence. The expressiveness of the narrative sequence of images is determined by the selected images. Therefore, we adapted Key Probe, an object based key frame extraction method developed by Huang et al., to be operable on molecular data. Molecular data consists of thousands of protein instances and is therefore challenging for object based key frame extraction methods. We introduced several optimization techniques to Key Probe. We show that the adapted Key Probe returns reasonable result within a reasonable computation time. The so extracted key frames are then displayed in a sequence of images together with a 3D animated view of the molecular data. This allows, additionally to the fast overview, an in-depth exploration of a specific sub-sequence of the animation.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 848, "image_height": 392, "name": "stappen_2017_animatedcomic-teaser.png", "type": "image/png", "size": 324410, "path": "Publication:stappen_2017_animatedcomic", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/stappen_2017_animatedcomic/stappen_2017_animatedcomic-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/stappen_2017_animatedcomic/stappen_2017_animatedcomic-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1406 ], "date_end": "2017-08-22", "date_start": "2016-09-02", "matrikelnr": "1392020", "supervisor": [ 1072 ], "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": { "1": { "description": null, "filetitle": "teaser", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 848, "image_height": 392, "name": "stappen_2017_animatedcomic-teaser.png", "type": "image/png", "size": 324410, "path": "Publication:stappen_2017_animatedcomic", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/stappen_2017_animatedcomic/stappen_2017_animatedcomic-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/stappen_2017_animatedcomic/stappen_2017_animatedcomic-teaser:thumb{{size}}.png" }, "2": { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "stappen_2017_animatedcomic-thesis.pdf", "type": "application/pdf", "size": 11955139, "path": "Publication:stappen_2017_animatedcomic", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/stappen_2017_animatedcomic/stappen_2017_animatedcomic-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/stappen_2017_animatedcomic/stappen_2017_animatedcomic-thesis:thumb{{size}}.png" } }, "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/stappen_2017_animatedcomic/", "__class": "Publication" }, { "id": "Zusag-2017-Bach", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Deep Learning Architectures for vessel Segmentation in 2D and 3D Biomedical Images", "date": "2017-08", "abstract": "The aim of this thesis is to describe deep learning approaches for vessel segmentation in 2 and 3-dimensional biomedical images and the results achieved from these approaches on specific sets of data. The first chapter introduces the objective of this thesis, describes the data, which was used for the training, gives a short overview of machine learning and covers some theoretical aspects of artificial neural networks and especially of convolutional neural networks. The second chapter describes methods that were used for achieving the segmentation in 2 and 3 dimensions, like preprocessing of the images, algorithmic approaches, and general project set-up. The third and final chapter focuses on the results of methods described in chapter 2, contains personal advice for future approaches for improving the algorithm’s results and discusses the results. The thesis provides the theory, code snippets for the most fundamental part of the algorithms’ implementations and shows graphical, as well as numerical results of the approaches.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 481, "image_height": 151, "name": "Zusag-2017-Bach-image.JPG", "type": "image/jpeg", "size": 20848, "path": "Publication:Zusag-2017-Bach", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Zusag-2017-Bach/Zusag-2017-Bach-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Zusag-2017-Bach/Zusag-2017-Bach-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1486 ], "date_end": "2017", "date_start": "2016", "matrikelnr": "1427881", "supervisor": [ 190 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Zusag-2017-Bach-Bachelor Thesis.pdf", "type": "application/pdf", "size": 11031231, "path": "Publication:Zusag-2017-Bach", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Zusag-2017-Bach/Zusag-2017-Bach-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Zusag-2017-Bach/Zusag-2017-Bach-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 481, "image_height": 151, "name": "Zusag-2017-Bach-image.JPG", "type": "image/jpeg", "size": 20848, "path": "Publication:Zusag-2017-Bach", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Zusag-2017-Bach/Zusag-2017-Bach-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Zusag-2017-Bach/Zusag-2017-Bach-image:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Zusag-2017-Bach/", "__class": "Publication" }, { "id": "Matusich-2017-01", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Billboarded Cutaway Visualization for Subsurface Urban Sewer Networks - Flood Simulation embedded in Unity3D", "date": "2017-05-02", "abstract": "Visualizing the results of a flood simulation interactively in real-time has become very important due to the increasing number of flood hazards in the recent past. An important part of a flood simulation is the impact on the sewer system of the flooded city. For the simulation itself only a very primitive data structure of a sewer system is required. Therefore this thesis proposes an innovative and efficient technique to render sewage pipes and to visualize the water flow inside of them. With a simple underlying data structure of node positions, billboarded sewage pipes are constructed in the geometry\nshader. With a proxy geometry the stencil buffer is utilized to distinguish outside and inside of the pipe and the billboards are drawn accordingly.\nIn addition another technique is introduced to cut-open the occluding terrain to expose\nthe sewage pipes to the viewer. Therefore a two dimensional distance transform of the\nsewer network is generated. The created distance field is used to discard fragments of the terrain, which are relatively close to a pipe. Further an artificial thickness is added to the cut-open terrain analytically in image-space.\nThe techniques are presented in detail and their implementation is demonstrated in\nUnity3D. It is evaluated by comparing the result to multiple conventions for computer\ngenerated cutaways. Additionally the feedback from visualization experts and the\ntechnical performance is presented. The results show that billboarded and cut-open\ntubular geometry can be rendered fast, efficient and with a low memory footprint.\nFurthermore the technique fulfills many of the design principles for cutaways and got\npositive feedback from visualization experts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 254, "name": "Matusich-2017-01-image.JPG", "type": "image/jpeg", "size": 27599, "path": "Publication:Matusich-2017-01", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Matusich-2017-01/Matusich-2017-01-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Matusich-2017-01/Matusich-2017-01-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1380 ], "date_end": "2017-05-02", "date_start": "2016-08-10", "matrikelnr": "0806024", "supervisor": [ 171, 798 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [ { "href": "http://www.matusich.at/thesis", "caption": "Additional Information", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Matusich-2017-01-Bachelor Thesis.pdf", "type": "application/pdf", "size": 4067511, "path": "Publication:Matusich-2017-01", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Matusich-2017-01/Matusich-2017-01-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Matusich-2017-01/Matusich-2017-01-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 254, "name": "Matusich-2017-01-image.JPG", "type": "image/jpeg", "size": 27599, "path": "Publication:Matusich-2017-01", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Matusich-2017-01/Matusich-2017-01-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Matusich-2017-01/Matusich-2017-01-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Matusich-2017-01/", "__class": "Publication" }, { "id": "Gehrer-2017-molmach", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Visualization of molecular machinery using agent-based animation", "date": "2017-05", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 335, "image_height": 182, "name": "Gehrer-2017-molmach-image.jpg", "type": "image/jpeg", "size": 15836, "path": "Publication:Gehrer-2017-molmach", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/Gehrer-2017-molmach-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/Gehrer-2017-molmach-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1194, 171 ], "booktitle": "Proceedings of SCCG 2017", "event": "Spring Conference on Computer Graphics", "lecturer": [ 1194 ], "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 335, "image_height": 182, "name": "Gehrer-2017-molmach-image.jpg", "type": "image/jpeg", "size": 15836, "path": "Publication:Gehrer-2017-molmach", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/Gehrer-2017-molmach-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/Gehrer-2017-molmach-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Gehrer-2017-molmach-paper.pdf", "type": "application/pdf", "size": 7769733, "path": "Publication:Gehrer-2017-molmach", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/Gehrer-2017-molmach-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/Gehrer-2017-molmach-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/", "__class": "Publication" }, { "id": "Radwan-2017-Occ", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Cut and Paint: Occlusion-Aware Subset Selection for Surface Processing", "date": "2017-05", "abstract": "User-guided surface selection operations are straightforward for visible regions on a convex model. However, concave surfaces present a challenge because self-occlusions require multiple camera positions to get unobstructed views. Therefore, users often have to locate and switch to new unobstructed views in order to continue the operation. Our novel approach enables operations like painting or cutting in a single view, even on the backside of objects and for arbitrary depth complexity, with interactive performance. Continuous projection of a curve drawn in screen space onto the mesh guarantees seamless brush strokes or manifold cuts, unaffected by any occlusions.\n\nOur occlusion-aware surface-processing method enables a number of applications in an easy way. As examples, we show continuous painting on the surface, selecting regions for texturing, creating illustrative cutaways from nested models and animation of cutaways.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Occlusion-aware generation of a cutaway illustration.", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1964, "image_height": 2040, "name": "Radwan-2017-Occ-image.jpg", "type": "image/jpeg", "size": 735971, "path": "Publication:Radwan-2017-Occ", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/Radwan-2017-Occ-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/Radwan-2017-Occ-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 923, 948, 823, 193 ], "booktitle": "Proceedings of Graphics Interface 2017", "date_from": "2017-05-17", "date_to": "2017-05-19", "doi": "10.20380/GI2017.11", "event": "Graphics Interface 2017", "lecturer": [ 923 ], "location": "Edmonton, Alberta, CA", "pages_from": "82", "pages_to": "89", "publisher": "Canadian Human-Computer Communications Society / Soci{\\'e}t{\\'e} canadienne du dialogue humain-machine", "research_areas": [ "Geometry", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "Occlusion-aware generation of a cutaway illustration.", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1964, "image_height": 2040, "name": "Radwan-2017-Occ-image.jpg", "type": "image/jpeg", "size": 735971, "path": "Publication:Radwan-2017-Occ", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/Radwan-2017-Occ-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/Radwan-2017-Occ-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Radwan-2017-Occ-paper.pdf", "type": "application/pdf", "size": 5813944, "path": "Publication:Radwan-2017-Occ", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/Radwan-2017-Occ-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/Radwan-2017-Occ-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ShapeAcquisition" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/", "__class": "Publication" }, { "id": "seyfert-2017", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Dynamic word clouds", "date": "2017-05", "abstract": "Using word clouds to visualize dynamic time-varying data is a field still under-explored. The goal of our approach is to provide a novel way of generating smoothly animated word clouds to show changes in word frequency via font size. Unlike existing methods, a compact layout, inspired by the popular word cloud generation tool Wordle, is preserved during animation and implemented using web technologies.Word size changes in time are also illustrated via color and word rotation. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 642, "image_height": 297, "name": "seyfert-2017-image.bmp", "type": "image/bmp", "size": 572670, "path": "Publication:seyfert-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/seyfert-2017-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/seyfert-2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 1400 ], "booktitle": "Proceedings of SCCG 2017", "date_from": "2017-05-15", "date_to": "2017-05-17", "doi": "10.1145/3154353.3154358", "editor": "ACM", "event": "SCCG 2017", "isbn": "978-1-4503-5107-2", "lecturer": [ 1400 ], "location": "Mikulov", "research_areas": [ "IllVis" ], "keywords": [ " tag cloud, animated, dynamic, time-varying, word cloud " ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 642, "image_height": 297, "name": "seyfert-2017-image.bmp", "type": "image/bmp", "size": 572670, "path": "Publication:seyfert-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/seyfert-2017-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/seyfert-2017-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "seyfert-2017-paper.pdf", "type": "application/pdf", "size": 2618363, "path": "Publication:seyfert-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/seyfert-2017-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/seyfert-2017-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/", "__class": "Publication" }, { "id": "sorger_2017_metamorphers", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Metamorphers: Storytelling Templates For Illustrative Animated Transitions in Molecular Visualization", "date": "2017-05", "abstract": "In molecular biology, illustrative animations are used to convey complex biological phenomena to broad audiences. However, such animations have to be manually authored in 3D modeling software, a time consuming task that has to be repeated from scratch for every new data set, and requires a high level of expertise in illustration, animation, and biology. We therefore propose metamorphers: a set of operations for defining animation states as well as the transitions to them in the form of re-usable story telling templates. The re-usability is two-fold. Firstly, due to their modular nature, metamorphers can be re-used in different combinations to create a wide range of animations. Secondly, due to their abstract nature, metamorphers can be re-used to re-create an intended animation for a wide range of compatible data sets. Metamorphers thereby mask the low level complexity of explicit animation specifications by exploiting the inherent properties of the molecular data, such as the position, size, and hierarchy level of a semantic data subset.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 6011, "image_height": 1167, "name": "sorger_2017_metamorphers-teaser.png", "type": "image/png", "size": 2870066, "path": "Publication:sorger_2017_metamorphers", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1072, 935, 488, 166, 1379, 171 ], "booktitle": "Proceedings of the Spring Conference on Computer Graphics 2017", "date_from": "2017-05-15", "date_to": "2017-05-17", "location": "Mikulov, Czech Republic", "pages_from": "27", "pages_to": "36", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "animated transitions", "storytelling", "molecular visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sorger_2017_metamorphers-paper.pdf", "type": "application/pdf", "size": 10648080, "path": "Publication:sorger_2017_metamorphers", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 6011, "image_height": 1167, "name": "sorger_2017_metamorphers-teaser.png", "type": "image/png", "size": 2870066, "path": "Publication:sorger_2017_metamorphers", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sorger_2017_metamorphers-video.mp4", "type": "video/mp4", "size": 99597057, "path": "Publication:sorger_2017_metamorphers", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/", "__class": "Publication" }, { "id": "Balduz_01", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Walk line drawing", "date": "2017-04-25", "abstract": "In the recent years, consequence of technology improvements, a new kind of art has appeared. It is called GPS art and consists in drawing on a digital map by recording the path followed using a GPS device. The fact is that not everyone is able to make the drawing of a certain figure. Just the so-called GPS artists come up with the path, so it makes this kind of art not reachable to some people.\nThe idea of this thesis is to enable people to create GPS art without relying on imagination to come up with a path for a certain figure. In order to achieve that, a system that finds that path in a map for a given figure as input has been developed. In order for people to use this system, it has been integrated within a mobile application, so users are able to find the path to follow easily.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 248, "image_height": 249, "name": "Balduz_01-image.JPG", "type": "image/jpeg", "size": 29143, "path": "Publication:Balduz_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Balduz_01/Balduz_01-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Balduz_01/Balduz_01-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1382 ], "date_end": "2017-04-25", "date_start": "2016-10-01", "matrikelnr": "1635296", "supervisor": [ 171 ], "research_areas": [ "IllVis" ], "keywords": [ "GPS art device" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": true, "access": "public", "name": "Balduz_01-Bachelor Thesis.pdf", "type": "application/pdf", "size": 1508429, "path": "Publication:Balduz_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Balduz_01/Balduz_01-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Balduz_01/Balduz_01-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 248, "image_height": 249, "name": "Balduz_01-image.JPG", "type": "image/jpeg", "size": 29143, "path": "Publication:Balduz_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Balduz_01/Balduz_01-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Balduz_01/Balduz_01-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Balduz_01/", "__class": "Publication" }, { "id": "Mayr-2017-1", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Automatic Summarization of Image Datasets", "date": "2017-04-20", "abstract": "Since the innovation of the digital camera the number of pictures taken is still increasing. Especially in recent years, when mobile phone manufacturer began to attach digital cameras to their mobile phones, this ended up in a flood of pictures nowadays. The aim of this thesis is, to implement an algorithm that automatically summarizes a given dataset\nof geotagged images and creates a representative image collage. It is strictly based on the visualization pipeline and starts with the data analysis and filtering of the image dataset. Next, the filtered data are mapped using a symmetric version of the Voronoi tessellation, and are finally rendered using optional dissolve blending. We test the implementation on two different image datasets, containing 35 and 154 images, respectively. The results indicate that the implementation generates diverse and appealing image collages for the tested image datasets, but that there are also some extreme cases for example with\nmisleading symmetry caused by the pre-attentive processing of the human visual system.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 4000, "image_height": 4000, "name": "Mayr-2017-1-image.jpg", "type": "image/jpeg", "size": 2622745, "path": "Publication:Mayr-2017-1", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mayr-2017-1/Mayr-2017-1-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mayr-2017-1/Mayr-2017-1-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1284 ], "date_end": "2017-04-20", "date_start": "2016-10-12", "matrikelnr": "1226745", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Mayr-2017-1-Bachelor Thesis.pdf", "type": "application/pdf", "size": 70774852, "path": "Publication:Mayr-2017-1", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mayr-2017-1/Mayr-2017-1-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mayr-2017-1/Mayr-2017-1-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 4000, "image_height": 4000, "name": "Mayr-2017-1-image.jpg", "type": "image/jpeg", "size": 2622745, "path": "Publication:Mayr-2017-1", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mayr-2017-1/Mayr-2017-1-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mayr-2017-1/Mayr-2017-1-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mayr-2017-1/", "__class": "Publication" }, { "id": "miao_inria_2017", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visualization and Modeling in DNA Nanotechnology", "date": "2017-04", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1953, "image_height": 1093, "name": "miao_inria_2017-.png", "type": "image/png", "size": 981598, "path": "Publication:miao_inria_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_inria_2017/miao_inria_2017-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_inria_2017/miao_inria_2017-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263 ], "event": "Inria", "location": "Inria, Grenoble, France", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1953, "image_height": 1093, "name": "miao_inria_2017-.png", "type": "image/png", "size": 981598, "path": "Publication:miao_inria_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_inria_2017/miao_inria_2017-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_inria_2017/miao_inria_2017-:thumb{{size}}.png" } ], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_inria_2017/", "__class": "Publication" }, { "id": "mindek-2017-virtualcell", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "The Birth of a Virtual Cell", "date": "2017-04", "abstract": "In our current research project, we are working on the interactive visualization of cellular data at multiple scales. The visual story telling contest motivated us to describe the process of bringing this complex volumetric data \"to life\". We scripted the visual story directly within the current build of our multi-scale visualization. The entire video is therefore rendered in real time. This enabled us to directly show the steps involved in the rendering of our final visualization based on the actual data and the actual algorithms that are applied. The various effects in the video are therefore parameter variables for existing multi-scale visualization functions that change over time. The final result of our visualization was inspired by a rendering of the reference 3D model that was created by a scientific illustrator. The challenge that we overcome in our visualization was to create a rendering of the original data at stable 30 frames per second that matches the offline rendered illustration in visual quality, which helps to clarify the complex 3D arrangements of the inner components of the cell.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 960, "image_height": 540, "name": "mindek-2017-virtualcell-teaser.png", "type": "image/png", "size": 332614, "path": "Publication:mindek-2017-virtualcell", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-virtualcell/mindek-2017-virtualcell-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-virtualcell/mindek-2017-virtualcell-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935, 1072, 1383, 1285, 1379, 171 ], "note": "submitted to the Pacific Vis 2017 Storytelling Contest", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [ { "href": "https://vimeo.com/220376839", "caption": "the video", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 960, "image_height": 540, "name": "mindek-2017-virtualcell-teaser.png", "type": "image/png", "size": 332614, "path": "Publication:mindek-2017-virtualcell", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-virtualcell/mindek-2017-virtualcell-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-virtualcell/mindek-2017-virtualcell-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-virtualcell/", "__class": "Publication" }, { "id": "Wihann_2017", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Statistical Modelling of Microorganisms", "date": "2017-02-28", "abstract": "Models of a biological organism can support scientists in various fields, such as medicine, pharmacy or biology. When precise macromolecular composition of an organism is to be captured by the model, tens of thousands of protein macromolecules have to be positioned in order to create the model. This process is complicated and time consuming.\nIn this thesis we propose an approach based on statistical modeling of microorganisms,\nwhich enables the creation of such scenes with minimal effort. The modeling is based on decision trees and probability calculations. The basic principle is to start with a random distribution. Then subsequently adjustments from the user on one or several objects, such as molecules, are gathered. These serve as examples to change the orientation and location of all other objects in the scene. The approach is realized in a tool implemented in Unity3D.\n ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 225, "image_height": 225, "name": "Wihann_2017-image.JPG", "type": "image/jpeg", "size": 23248, "path": "Publication:Wihann_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wihann_2017/Wihann_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wihann_2017/Wihann_2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1385 ], "date_end": "2017-02", "date_start": "2016-10", "matrikelnr": "1107772", "supervisor": [ 171 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Wihann_2017-Bachelor Thesis.pdf", "type": "application/pdf", "size": 920818, "path": "Publication:Wihann_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wihann_2017/Wihann_2017-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wihann_2017/Wihann_2017-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 225, "image_height": 225, "name": "Wihann_2017-image.JPG", "type": "image/jpeg", "size": 23248, "path": "Publication:Wihann_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wihann_2017/Wihann_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wihann_2017/Wihann_2017-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wihann_2017/", "__class": "Publication" }, { "id": "Koszticsak-2017-ewt", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Generating Expressive Window Thumbnails through Seam Carving", "date": "2017", "abstract": "Thumbnails are used to display lists of open windows or tabs when switching between\nthem on computers and on mobile devices. These images make it easier to recognize the\nopened applications, and help to find the needed window quicker. Thumbnails however\nonly display a screenshot of the windows, so they get potentially confusing if there are\nmore opened windows or if the same application is opened multiple times. Depending\non the resolution of the display, the screenshot size decreases as the number of opened\nwindows increases. Furthermore, within the same application (like MS Office World)\nthe screenshots are similar in appearance (e.g. : white paper and tool bar), but the\nimportant text is not readable. There are several approaches that filter the important\nareas of the images to enhance the main region. In this bachelor thesis an application is\nimplemented that uses the above methods on screenshots. Screenshots of windows are\nreduced by cropping the irrelevant elements of the margin area using seam carving, i.e.\nby eliminating the non-important pixel paths; and by common down-sampling. As a\nresult the thumbnails show only relevant information, which makes them more expressive\nand easier to fulfill their purpose.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 858, "image_height": 481, "name": "Koszticsak-2017-ewt-.png", "type": "image/png", "size": 397429, "path": "Publication:Koszticsak-2017-ewt", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/Koszticsak-2017-ewt-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/Koszticsak-2017-ewt-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1351 ], "date_end": "2017-02", "date_start": "2016-06", "duration": "10 months", "matrikelnr": "1325492", "supervisor": [ 1110 ], "research_areas": [ "IllVis", "Perception" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 858, "image_height": 481, "name": "Koszticsak-2017-ewt-.png", "type": "image/png", "size": 397429, "path": "Publication:Koszticsak-2017-ewt", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/Koszticsak-2017-ewt-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/Koszticsak-2017-ewt-:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Koszticsak-2017-ewt-thesis.pdf", "type": "application/pdf", "size": 51784684, "path": "Publication:Koszticsak-2017-ewt", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/Koszticsak-2017-ewt-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/Koszticsak-2017-ewt-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/", "__class": "Publication" }, { "id": "miao_stateKeylabTalk_2017", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visualization of Brain Arteries, the Placenta and DNA Nanostructures in the Context of Abstraction", "date": "2017", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1646, "image_height": 929, "name": "miao_stateKeylabTalk_2017-.png", "type": "image/png", "size": 771977, "path": "Publication:miao_stateKeylabTalk_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_stateKeylabTalk_2017/miao_stateKeylabTalk_2017-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_stateKeylabTalk_2017/miao_stateKeylabTalk_2017-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263 ], "event": "State Key Lab - Zhejiang University", "location": "State Key Lab - Zhejiang University", "research_areas": [ "BioVis", "IllVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1646, "image_height": 929, "name": "miao_stateKeylabTalk_2017-.png", "type": "image/png", "size": 771977, "path": "Publication:miao_stateKeylabTalk_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_stateKeylabTalk_2017/miao_stateKeylabTalk_2017-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_stateKeylabTalk_2017/miao_stateKeylabTalk_2017-:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_stateKeylabTalk_2017/", "__class": "Publication" }, { "id": "mindek-2017-marion", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visualization Multi-Pipeline for Communicating Biology", "date": "2017", "abstract": "We propose a system to facilitate biology communication by developing a pipeline to support the instructional visualization of heterogeneous biological data on heterogeneous user-devices. Discoveries and concepts in biology are typically summarized with illustrations assembled manually from the interpretation and application of heterogenous data. The creation of such illustrations is time consuming, which makes it incompatible with frequent updates to the measured data as new discoveries are made. Illustrations are typically non-interactive, and when an illustration is updated, it still has to reach the user. Our system is designed to overcome these three obstacles. It supports the integration of heterogeneous datasets, reflecting the knowledge that is gained from different data sources in biology. After pre-processing the datasets, the system transforms them into visual representations as inspired by scientific illustrations. As opposed to traditional scientific illustration these representations are generated in real-time - they are interactive. The code generating the visualizations can be embedded in various software environments. To demonstrate this, we implemented both a desktop application and a remote-rendering server in which the pipeline is embedded. The remote-rendering server supports multi-threaded rendering and it is able to handle multiple users simultaneously. This scalability to different hardware environments, including multi-GPU setups, makes our system useful for efficient public dissemination of biological discoveries.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "hidden", "image_width": 838, "image_height": 601, "name": "mindek-2017-marion-.png", "type": "image/png", "size": 395582, "path": "Publication:mindek-2017-marion", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935, 1383, 1072, 1488, 1489, 1379, 166, 171 ], "date_from": "2017-09-29", "date_to": "2017-10-07", "event": "IEEE Vis 2017", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 935 ], "location": "Phoenix, Arizona", "number": "1", "volume": "24", "research_areas": [ "BioVis", "IllVis", "Rendering" ], "keywords": [ "Biological visualization", "remote rendering", "public dissemination" ], "weblinks": [ { "href": "https://vimeo.com/238851516", "caption": "VIS presentation", "description": null, "main_file": 0 } ], "files": { "1": { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-2017-marion-Paper.pdf", "type": "application/pdf", "size": 12037780, "path": "Publication:mindek-2017-marion", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-Paper:thumb{{size}}.png" }, "2": { "description": null, "filetitle": "Preview Movie", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-2017-marion-Preview Movie.avi", "type": "video/avi", "size": 25593216, "path": "Publication:mindek-2017-marion", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-Preview Movie.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-Preview Movie:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-Preview Movie:video.mp4" }, "3": { "description": null, "filetitle": "Slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-2017-marion-Slides.pptx", "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation", "size": 95389205, "path": "Publication:mindek-2017-marion", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-Slides.pptx", "thumb_image_sizes": [] } }, "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/", "__class": "Publication" }, { "id": "Groeller_2016_I6", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Computing and Analysis of Complex Systems", "date": "2016-12-09", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2016-12-09", "event": "Invited Talk, State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China", "location": "State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_I6/", "__class": "Publication" }, { "id": "Groeller_2016_I8", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Computing for the Analysis of Complex Systems", "date": "2016-12-05", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2016-12-05", "event": "Invited Talk at the Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST)", "location": "Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST), Hong Kong", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_I8/", "__class": "Publication" }, { "id": "mindek-xmas-card-2016", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2016", "date": "2016-12", "abstract": "As far as we can tell, the Universe is made of atoms. Or pixels. In any case, this Christmas card celebrates both.\n\nThis year's Christmas tree is decorated with a chain of DNA molecules modeled as a spline populated by nucleotides. Several macromolecules of Fibrinogen, Hemoglobin, and Low-Density Lipoprotein are used as decorations as well. All the proteins, as well as the DNA, are modeled down to atomic resolution. The scene is rendered in real-time using cellVIEW - a molecular visualization framework developed at TU Wien and Scripps Research Institute.\n\n***\n\nSoweit wir wissen besteht das Universum aus Atomen. Oder Pixel. Wie auch immer, diese Weihnachtskarte feiert beides.\n\nDer Weihnachtsbaum ist mit einer DNA-Molekülkette geschmückt, modelliert als ein Spline der mit Nukleotiden besetzt ist. Auch mehrere Fibrinogen-, Hämoglobin- und Lipoprotein-Makromoleküle wurden als Dekorationen verwendet. Alle Proteine, als auch die DNA, sind bis auf Atomauflösung modelliert. Die Szene wurde mit cellVIEW in Echtzeit gerendert. cellVIEW ist eine Visualisierungssoftware für Moleküle, die an der TU Wien und dem Scripps Research Institute entwickelt wurde.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Picture", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 3366, "image_height": 2345, "name": "mindek-xmas-card-2016-Picture.png", "type": "image/png", "size": 7197771, "path": "Publication:mindek-xmas-card-2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-Picture.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-Picture:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1260, 935 ], "research_areas": [ "BioVis", "IllVis", "Modeling", "Rendering" ], "keywords": [ "Molecular Visualization", "DNA", "Proteins" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Picture", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 3366, "image_height": 2345, "name": "mindek-xmas-card-2016-Picture.png", "type": "image/png", "size": 7197771, "path": "Publication:mindek-xmas-card-2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-Picture.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-Picture:thumb{{size}}.png" }, { "description": null, "filetitle": "X-Mas Card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-xmas-card-2016-X-Mas Card.pdf", "type": "application/pdf", "size": 24934677, "path": "Publication:mindek-xmas-card-2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-X-Mas Card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-X-Mas Card:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/", "__class": "Publication" }, { "id": "LeMuzic_2016_PhD", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "From Atoms to Cells: Interactive and Illustrative Visualization of Digitally Reproduced Lifeforms", "date": "2016-10-06", "abstract": "Macromolecules, such as proteins, are the building blocks of the machinery of life, and therefore are essential to the comprehension of physiological processes. In physiology, illustrations and animations are often utilized as a mean of communication because they can easily be understood with little background knowledge. However, their realization\nrequires numerous months of manual work, which is both expensive and time consuming.\nComputational biology experts produce everyday large amount of data that is publicly available and that contains valuable information about the structure and also the function of these macromolecules. Instead of relying on manual work to generate illustrative\nvisualizations of the cell biology, we envision a solution that would utilize all the data already available in order to streamline the creation process.\nIn this thesis are presented several contributions that aim at enabling our vision. First, a novel GPU-based rendering pipeline that allows interactive visualization of realistic molecular datasets comprising up to hundreds of millions of macromolecules. The rendering pipeline is embedded into a popular game engine and well known computer graphics optimizations were adapted to support this type of data, such as level-of-detail, instancing and occlusion queries. Secondly, a new method for authoring cutaway views and improving spatial exploration of crowded molecular landscapes. The system relies on the use of clipping objects that are manually placed in the scene and on visibility\nequalizers that allows fine tuning of the visibility of each species present in the scene.\nAgent-based modeling produces trajectory data that can also be combined with structural information in order to animate these landscapes. The snapshots of the trajectories are often played in fast-forward to shorten the length of the visualized sequences, which also renders potentially interesting events occurring at a higher temporal resolution invisible. The third contribution is a solution to visualize time-lapse of agent-based\nsimulations that also reveals hidden information that is only observable at higher temporal resolutions. And finally, a new type of particle-system that utilize quantitative models as input and generate missing spatial information to enable the visualization of molecular trajectories and interactions. The particle-system produces a similar visual output as\ntraditional agent-based modeling tools for a much lower computational footprint and\nallows interactive changing of the simulation parameters, which was not achievable with previous methods.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 261, "image_height": 261, "name": "LeMuzic_2016_PhD-image.jpg", "type": "image/jpeg", "size": 21110, "path": "Publication:LeMuzic_2016_PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/LeMuzic_2016_PhD-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/LeMuzic_2016_PhD-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1189 ], "date_end": "2016", "date_start": "2013", "matrikelnr": "1326132", "reviewer_1": [ 171 ], "reviewer_2": [ 1399 ], "rigorosum": "2016-11-23", "supervisor": [ 171 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 261, "image_height": 261, "name": "LeMuzic_2016_PhD-image.jpg", "type": "image/jpeg", "size": 21110, "path": "Publication:LeMuzic_2016_PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/LeMuzic_2016_PhD-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/LeMuzic_2016_PhD-image:thumb{{size}}.png" }, { "description": null, "filetitle": "PhD-Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "LeMuzic_2016_PhD-PhD-Thesis.pdf", "type": "application/pdf", "size": 54355957, "path": "Publication:LeMuzic_2016_PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/LeMuzic_2016_PhD-PhD-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/LeMuzic_2016_PhD-PhD-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/", "__class": "Publication" }, { "id": "Reichinger_2016", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Gesture-Based Interactive Audio Guide on Tactile Reliefs", "date": "2016-10", "abstract": "For blind and visually impaired people, tactile reliefs offer many benefits over the more classic raised line drawings or tactile diagrams, as depth, 3D shape and surface textures are directly perceivable. However, without proper guidance some reliefs are still difficult to explore autonomously.\nIn this work, we present a gesture-controlled interactive audio guide (IAG) based on recent low-cost depth cameras that operates directly on relief surfaces. The interactively explorable, location-dependent verbal descriptions promise rapid tactile accessibility to 2.5D spatial information in a home or education setting, to on-line resources, or as a kiosk installation at \npublic places.\nWe present a working prototype, discuss design decisions and present the results of two evaluation sessions with a total of \n20 visually impaired test users.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 404, "image_height": 262, "name": "Reichinger_2016-image.jpg", "type": "image/jpeg", "size": 19342, "path": "Publication:Reichinger_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 879, 228, 204, 190 ], "date_from": "2016-10-23", "date_to": "2016-10-26", "event": "18th International ACM SIGACCESS Conference on Computers and Accessibility", "journal": "Proceedings of the 18th International ACM SIGACCESS Conference on Computers & Accessibility", "lecturer": [ 879 ], "location": "Reno, Nevada, USA", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 404, "image_height": 262, "name": "Reichinger_2016-image.jpg", "type": "image/jpeg", "size": 19342, "path": "Publication:Reichinger_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Reichinger_2016-Paper.pdf", "type": "application/pdf", "size": 5469565, "path": "Publication:Reichinger_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/", "__class": "Publication" }, { "id": "prost-2016-molecule", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Molecule-Rendering in Unity3D", "date": "2016-09", "abstract": "Due to their omnipresence and ease of use, smart phones are getting more and more utilized\nas educational instruments for different subjects, for example, visualizing molecules in a chemistry class. In domain-specific mobile visualization applications, the choice of the ideal visualization technique of molecules can vary based on the background and age of the target group, and mostly depends on the choice of a graphical designer. Designers, however, rarely have sufficient programming skills and require an engineer even for the slightest adjustment in the required visual appearance. In this thesis we present a configuration system for rendering effects implemented in Unity3D, that allows to define the visual appearance of a molecule in a JSON file without the need of programming knowledge. We discuss the technical realization of different rendering effects on a mobile platform, and demonstrate our system and its versatility on a commercial chemistry visualization app, creating different visual styles for molecule renderings that are appealing to students as well as scientists and advertisement.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 365, "image_height": 368, "name": "prost-2016-molecule-image.jpg", "type": "image/jpeg", "size": 25682, "path": "Publication:prost-2016-molecule", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/prost-2016-molecule-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/prost-2016-molecule-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1377 ], "date_end": "2016-09", "date_start": "2015-10", "matrikelnr": "1225511", "supervisor": [ 193, 799 ], "research_areas": [ "IllVis", "Rendering" ], "keywords": [ "molecule visualization", "Unity", "rendering effects", "mobile devices" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 365, "image_height": 368, "name": "prost-2016-molecule-image.jpg", "type": "image/jpeg", "size": 25682, "path": "Publication:prost-2016-molecule", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/prost-2016-molecule-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/prost-2016-molecule-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 386, "preview_image_height": 387, "name": "prost-2016-molecule-thesis.pdf", "type": "application/pdf", "size": 13068587, "path": "Publication:prost-2016-molecule", "preview_name": "prost-2016-molecule-thesis:preview.jpg", "preview_type": "image/jpeg", "preview_size": 25787, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/prost-2016-molecule-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/prost-2016-molecule-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/", "__class": "Publication" }, { "id": "sorger-2016-fowardabstraction", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Illustrative Transitions in Molecular Visualization via Forward and Inverse Abstraction Transform", "date": "2016-09", "abstract": "A challenging problem in biology is the incompleteness of acquired information when visualizing biological phenomena. Structural biology generates detailed models of viruses or bacteria at different development stages, while the processes that relate one stage to another are often not clear. Similarly, the entire life cycle of a biological entity might be available as a quantitative model, while only one structural model is available. If the relation between two models is specified at a lower level of detail than the actual models themselves, the two models cannot be interpolated correctly. We propose a method that deals with the visualization of incomplete data information in the developmental or evolutionary states of biological mesoscale models, such as viruses or microorganisms. The central tool in our approach is visual abstraction. Instead of directly interpolating between two models that show different states of an organism, we gradually forward transform the models into a level of visual abstraction that matches the level of detail of the modeled relation between them. At this level, the models can be interpolated without conveying false information. After the interpolation to the new state, we apply the inverse transformation to the model’'s original level of abstraction. To show the flexibility of our approach, we demonstrate our method on the basis of molecular data, in particular data of the HIV virion and the mycoplasma bacterium.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2084, "image_height": 1027, "name": "sorger-2016-fowardabstraction-teaser.png", "type": "image/png", "size": 2349725, "path": "Publication:sorger-2016-fowardabstraction", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1072, 935, 1285, 1379, 171 ], "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM)", "editor": "S. Bruckner, B. Preim, and A. Vilanova", "location": "Bergen", "organization": "Eurographics", "pages_from": "21", "pages_to": "30", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "I.3.3 [Computer Graphics]: Picture/Image Generation-Display algorithms" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sorger-2016-fowardabstraction-paper.pdf", "type": "application/pdf", "size": 4626761, "path": "Publication:sorger-2016-fowardabstraction", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2084, "image_height": 1027, "name": "sorger-2016-fowardabstraction-teaser.png", "type": "image/png", "size": 2349725, "path": "Publication:sorger-2016-fowardabstraction", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sorger-2016-fowardabstraction-video.mp4", "type": "video/mp4", "size": 41423527, "path": "Publication:sorger-2016-fowardabstraction", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-video:video.mp4" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/", "__class": "Publication" }, { "id": "Spechtenhauser_Florian_2016", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Visual Analytics for Rule-Based Quality Management of Multivariate Data", "date": "2016-08", "abstract": "Ensuring an appropriate data quality is a critical topic when analyzing the ever increasing amounts of data collected and generated in today’s world. Depending on the given task, even sophisticated analysis methods may cause misleading results due to an insufficient quality of the data set at hand. In this case, automated plausibility checks based on defined rules are frequently used to detect data problems such as missing data or anomalies.\nHowever, defining such rules and using their results for an efficient data quality\nassessment is a challenging topic. Visualization is powerful to reveal unexpected problems in the data, and can additionally be used to validate results of applied automated plausibility checks. Visual Analytics closes the gap between automated data analysis and visualization by providing means to guide the definition and optimization of plausibility checks in order to use them for a continuous detection and validation of problems detected in the data.\nThis diploma thesis provides a design study of a Visual Analytics approach, called Data Quality Overview, which provides a detailed, yet scalable summary of the results of defined plausibility checks, and includes means for validation and investigation of these results at various levels of detail. The approach is based on a detailed task analysis of\ndata quality assessment, and is validated using a case study based on sensor data from the energy sector in addition to feedback collected from domain experts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 549, "image_height": 522, "name": "Spechtenhauser_Florian_2016-image.jpg", "type": "image/jpeg", "size": 60977, "path": "Publication:Spechtenhauser_Florian_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1094 ], "date_end": "2016-08", "date_start": "2015", "matrikelnr": "0826226", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 549, "image_height": 522, "name": "Spechtenhauser_Florian_2016-image.jpg", "type": "image/jpeg", "size": 60977, "path": "Publication:Spechtenhauser_Florian_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Spechtenhauser_Florian_2016-thesis.pdf", "type": "application/pdf", "size": 15688971, "path": "Publication:Spechtenhauser_Florian_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/", "__class": "Publication" }, { "id": "mindek-2016-utah-talk", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "Multi-Scale Molecular Data Visualization", "date": "2016-05-03", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Teaser 1", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 859, "image_height": 382, "name": "mindek-2016-utah-talk-Teaser 1.png", "type": "image/png", "size": 109219, "path": "Publication:mindek-2016-utah-talk", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Teaser 1.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Teaser 1:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935 ], "date_from": "2016-05-02", "date_to": "2016-05-03", "event": "QCB Workshop on Visualizing & Modeling Cell Biology", "lecturer": [ 935 ], "location": "Salt Lake City, Utah, USA", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "molecular visualization", "multiscale" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-2016-utah-talk-Slides.pptx", "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation", "size": 538745965, "path": "Publication:mindek-2016-utah-talk", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Slides.pptx", "thumb_image_sizes": [] }, { "description": null, "filetitle": "Teaser 1", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 859, "image_height": 382, "name": "mindek-2016-utah-talk-Teaser 1.png", "type": "image/png", "size": 109219, "path": "Publication:mindek-2016-utah-talk", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Teaser 1.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Teaser 1:thumb{{size}}.png" }, { "description": null, "filetitle": "Teaser 2", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 500, "image_height": 332, "name": "mindek-2016-utah-talk-Teaser 2.png", "type": "image/png", "size": 191960, "path": "Publication:mindek-2016-utah-talk", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Teaser 2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Teaser 2:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/", "__class": "Publication" }, { "id": "Groeller_2016_I3", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Understanding Data through Visual Exploration", "date": "2016-05", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "event": "Keynote talk at Visionday 2016, Danmarks Tekniske Universitet (DTU Compute)", "location": "Keynote talk at Visionday 2016, Danmarks Tekniske Universitet (DTU Compute)", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_I3/", "__class": "Publication" }, { "id": "Chen-Information-2016", "type_id": "book", "tu_id": null, "repositum_id": null, "title": "Information Theory Tools for Visualization", "date": "2016", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1083, 608, 171, 1512, 207, 1513 ], "isbn": "9781498740937", "pages": "194", "publisher": "CRC Press", "research_areas": [ "IllVis", "InfoVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Chen-Information-2016/", "__class": "Publication" }, { "id": "lemuzic-mindek-2016-viseq", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visibility Equalizer: Cutaway Visualization of Mesoscopic Biological Models", "date": "2016", "abstract": "In scientific illustrations and visualization, cutaway views are often employed as an effective technique for occlusion management in densely packed scenes.We propose a novel method for authoring cutaway illustrations of mesoscopic biological models. In contrast to the existing cutaway algorithms, we take advantage of the specific nature of the biological models. These models consist of thousands of instances with a comparably smaller number of different types. Our method constitutes a two stage process. In the first step, clipping objects are placed in the scene, creating a cutaway visualization of the model. During this process, a hierarchical list of stacked bars inform the user about the instance visibility distribution of each individual molecular type in the scene. In the second step, the visibility of each molecular type is fine-tuned through these bars, which at this point act as interactive visibility equalizers. An evaluation of our technique with domain experts confirmed that our equalizer-based approach for visibility specification is valuable and effective for both, scientific and educational purposes.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Preview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 742, "image_height": 663, "name": "lemuzic-mindek-2016-viseq-Preview.png", "type": "image/png", "size": 858868, "path": "Publication:lemuzic-mindek-2016-viseq", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Preview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Preview:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1189, 935, 1072, 1260, 1365, 171 ], "date_from": "2016-06-06", "date_to": "2016-06-10", "event": "EuroVis 2016", "journal": "Computer Graphics Forum", "lecturer": [ 935 ], "location": "Groningen, Netherlands", "number": "3", "volume": "35", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "molecular visualization", "visibility", "occlusion" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "lemuzic-mindek-2016-viseq-Paper.pdf", "type": "application/pdf", "size": 3971312, "path": "Publication:lemuzic-mindek-2016-viseq", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Preview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 742, "image_height": 663, "name": "lemuzic-mindek-2016-viseq-Preview.png", "type": "image/png", "size": 858868, "path": "Publication:lemuzic-mindek-2016-viseq", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Preview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Preview:thumb{{size}}.png" }, { "description": null, "filetitle": "Slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "lemuzic-mindek-2016-viseq-Slides.pptx", "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation", "size": 140149203, "path": "Publication:lemuzic-mindek-2016-viseq", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Slides.pptx", "thumb_image_sizes": [] } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/", "__class": "Publication" }, { "id": "Reichinger_Fuhrmann_2016", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "A Concept for Re-Useable Interactive Tactile Reliefs", "date": "2016", "abstract": "We introduce a concept for a relief-printer, a novel production method for tactile reliefs, that allows to reproduce bas-reliefs of several centimeters height difference. In contrast to available methods, this printer will have a much smaller preparation time, and does not consume material nor produce waste, since it is based on a re-usable medium, suitable for temporary printouts. Second, we sketch a concept for the autonomous, interactive exploration of tactile reliefs, in the form of a gesture-controlled audio guide, based on recent depth cameras. Especially the combination of both approaches promises rapid tactile accessibility to 2.5D spatial information in a home or education setting, to on-line resources, or as a kiosk installation in museums.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 335, "image_height": 156, "name": "Reichinger_Fuhrmann_2016-image.jpg", "type": "image/jpeg", "size": 10288, "path": "Publication:Reichinger_Fuhrmann_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 879, 204, 228, 190 ], "booktitle": "A Concept for Re-Useable Interactive Tactile Reliefs", "journal": "ICCHP 2016, Part II", "lecturer": [ 1392 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 335, "image_height": 156, "name": "Reichinger_Fuhrmann_2016-image.jpg", "type": "image/jpeg", "size": 10288, "path": "Publication:Reichinger_Fuhrmann_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Reichinger_Fuhrmann_2016-paper.pdf", "type": "application/pdf", "size": 428189, "path": "Publication:Reichinger_Fuhrmann_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/", "__class": "Publication" }, { "id": "Reisacher_Matthias_CPW", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "CellPathway a Simulation Tool for Illustrative Visualization of Biochemical Networks", "date": "2016", "abstract": "The molecular knowledge about complex biochemical reaction networks in biotechnology is crucial and has received a lot of attention lately. As a consequence, multiple visualization programs have been already developed to illustrate the anatomy of a cell. However, since a real cell performs millions of reactions every second to sustain live, it is necessary to move from anatomical to physiological illustrations to communicate knowledge about the behavior of a cell more accurately. In this thesis I propose a reaction system including a collision detection algorithm, which is able to work at the level of single atoms, to enable\nprecise simulation of molecular interactions. To visually explain molecular activities during the simulation process, a real-time glow effect in combination with a clipping object have been implemented. Since intracellular processes are performed with a set of chemical transformations, a hierarchical structure is used to illustrate the impact of one reaction on the entire simulation. The CellPathway system integrates acceleration techniques to render large datasets containing millions of atoms in real-time, while the reaction system is processed directly on the GPU to enable simulation with more than 1000 molecules. Furthermore, a graphical user interface has been implemented to allow the user to control parameters during simulation interactively.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1267 ], "matrikelnr": "1125358", "supervisor": [ 171 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Reisacher_Matthias_CPW-Thesis.pdf", "type": "application/pdf", "size": 2772334, "path": "Publication:Reisacher_Matthias_CPW", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher_Matthias_CPW/Reisacher_Matthias_CPW-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher_Matthias_CPW/Reisacher_Matthias_CPW-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher_Matthias_CPW/", "__class": "Publication" }, { "id": "Reisacher2016", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "CellPathway: A Simulation Tool for Illustrative Visualization of Biochemical Networks", "date": "2016", "abstract": "The molecular knowledge about complex biochemical reaction networks in biotechnology is crucial and has received a lot\nof attention lately. As a consequence, multiple visualization programs have been already developed to illustrate the anatomy\nof a cell. However, since a real cell performs millions of reactions every second to sustain live, it is necessary to move from\nanatomical to physiological illustrations to communicate knowledge about the behavior of a cell more accurately. In this thesis I\npropose a reaction system including a collision detection algorithm, which is able to work at the level of single atoms, to enable\nprecise simulation of molecular interactions. To visually explain molecular activities during the simulation process, a real-time\nglow effect in combination with a clipping object have been implemented. Since intracellular processes are performed with a\nset of chemical transformations, a hierarchical structure is used to illustrate the impact of one reaction on the entire simulation.\nThe CellPathway system integrates acceleration techniques to render large datasets containing millions of atoms in real-time,\nwhile the reaction system is processed directly on the GPU to enable simulation with more than 1000 molecules. Furthermore,\na graphical user interface has been implemented to allow the user to control parameters during simulation interactively.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 400, "image_height": 400, "name": "Reisacher2016-image.jpg", "type": "image/jpeg", "size": 135376, "path": "Publication:Reisacher2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1267, 1189, 171 ], "booktitle": "Proceedings of WSCG", "lecturer": [ 1189 ], "location": "Pilsen, Czech Republic", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 400, "image_height": 400, "name": "Reisacher2016-image.jpg", "type": "image/jpeg", "size": 135376, "path": "Publication:Reisacher2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Reisacher2016-paper.pdf", "type": "application/pdf", "size": 1151123, "path": "Publication:Reisacher2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/", "__class": "Publication" }, { "id": "viola-evr", "type_id": "habilthesis", "tu_id": null, "repositum_id": null, "title": "Effective Visual Representations", "date": "2016", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 728, "image_height": 612, "name": "viola-evr-image.jpg", "type": "image/jpeg", "size": 43401, "path": "Publication:viola-evr", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171 ], "research_areas": [ "IllVis", "Perception" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 728, "image_height": 612, "name": "viola-evr-image.jpg", "type": "image/jpeg", "size": 43401, "path": "Publication:viola-evr", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "viola-evr-thesis.pdf", "type": "application/pdf", "size": 35963729, "path": "Publication:viola-evr", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/", "__class": "Publication" }, { "id": "Waldin_Nicholas_2016_Colormaps", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Personalized 2D color maps", "date": "2016", "abstract": "2D color maps are often used to visually encode complex data characteristics such as heat or height. The comprehension of color maps in visualization is affected by the display (e.g., a monitor) and the perceptual abilities of the viewer. In this paper we present a novel method to measure a user׳s ability to distinguish colors of a two-dimensional color map on a given monitor. We show how to adapt the color map to the user and display to optimally compensate for the measured deficiencies. Furthermore, we improve user acceptance of the calibration procedure by transforming the calibration into a game. The user has to sort colors along a line in a 3D color space in a competitive fashion. The errors the user makes in sorting these lines are used to adapt the color map to his perceptual capabilities.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1461, 660, 171 ], "date_from": "2016-10", "issn": "0097-8493", "journal": "Computers & Graphics", "pages_from": "143", "pages_to": "150", "volume": "59", "research_areas": [ "IllVis", "Perception" ], "keywords": [ "Color; Perception", "Perception", "Color vision deficiency" ], "weblinks": [ { "href": "http://www.sciencedirect.com/science/article/pii/S0097849316300772", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Colormaps/", "__class": "Publication" }, { "id": "cellVIEW_2015", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "cellVIEW: a Tool for Illustrative and Multi-Scale Rendering of Large Biomolecular Datasets", "date": "2015-09", "abstract": "In this article we introduce cellVIEW, a new system to interactively visualize large biomolecular datasets on the atomic level. Our tool is unique and has been specifically designed to match the ambitions of our domain experts to model and interactively visualize structures comprised of several billions atom. The cellVIEW system integrates acceleration techniques to allow for real-time graphics performance of 60 Hz display rate on datasets representing large viruses and bacterial organisms. Inspired by the work of scientific illustrators, we propose a level-of-detail scheme which purpose is two-fold: accelerating the rendering and reducing visual clutter. The main part of our datasets is made out of macromolecules, but it also comprises nucleic acids strands which are stored as sets of control points. For that specific case, we extend our rendering method to support the dynamic generation of DNA strands directly on the GPU. It is noteworthy that our tool has been directly implemented inside a game engine. We chose to rely on a third party engine to reduce software development work-load and to make bleeding-edge graphics techniques more accessible to the end-users. To our knowledge cellVIEW is the only suitable solution for interactive visualization of large bimolecular landscapes on the atomic level and is freely available to use and extend.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1264, "image_height": 796, "name": "cellVIEW_2015-.png", "type": "image/png", "size": 1483300, "path": "Publication:cellVIEW_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/cellVIEW_2015-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/cellVIEW_2015-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1189, 1260, 1143, 171 ], "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine", "date_from": "2015-09-14", "date_to": "2015-09-15", "editor": "Katja Bühler and Lars Linsen and Nigel W. John", "isbn": "978-3-905674-82-8", "issn": "2070-5786", "lecturer": [ 1189 ], "location": "Chester, United Kingdom", "organization": "EG Digital Library", "pages_from": "61", "pages_to": "70", "publisher": "The Eurographics Association", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1264, "image_height": 796, "name": "cellVIEW_2015-.png", "type": "image/png", "size": 1483300, "path": "Publication:cellVIEW_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/cellVIEW_2015-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/cellVIEW_2015-:thumb{{size}}.png" }, { "description": "the paper", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "cellVIEW_2015-paper.pdf", "type": "application/pdf", "size": 14485825, "path": "Publication:cellVIEW_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/cellVIEW_2015-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/cellVIEW_2015-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/", "__class": "Publication" }, { "id": "lemuzic_2015_timelapse", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Illustrative Timelapse: A Technique for Illustrative Visualization of Particle Simulations on the Mesoscale Level", "date": "2015-04", "abstract": "Animated movies are a popular way to communicate complex phenomena\nin cell biology to the broad audience. Animation artists\napply sophisticated illustration techniques to communicate a story,\nwhile trying to maintain a realistic representation of a complex dynamic\nenvironment. Since such hand-crafted animations are timeconsuming\nand cost-intensive to create, our goal is to formalize\nillustration techniques used by artists to facilitate the automatic\ncreation of visualizations generated from mesoscale particle-based\nmolecular simulations. Our technique Illustrative Timelapse supports\nvisual exploration of complex biochemical processes in dynamic\nenvironments by (1) seamless temporal zooming to observe\nphenomena in different temporal resolutions, (2) visual abstraction\nof molecular trajectories to ensure that observers are able to visually\nfollow the main actors, (3) increased visual focus on events of interest,\nand (4) lens effects to preserve a realistic representation of the\nenvironment in the context. Results from a first user study indicate\nthat visual abstraction of trajectories improves the ability to follow\na story and is also appreciated by users. Lens effects increased the\nperceived amount of molecular motion in the environment while\ntrading off traceability of individual molecules.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "screenshot", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1804, "image_height": 810, "name": "lemuzic_2015_timelapse-screenshot.jpg", "type": "image/jpeg", "size": 238322, "path": "Publication:lemuzic_2015_timelapse", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/lemuzic_2015_timelapse-screenshot.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/lemuzic_2015_timelapse-screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1189, 1110, 1143, 171 ], "booktitle": "Visualization Symposium (PacificVis), 2015 IEEE Pacific", "date_from": "2015-04-14", "date_to": "2015-04-17", "lecturer": [ 1189 ], "location": "Zijingang Campus, Zhejiang University, Hangzhou, China", "organization": "8th IEEE Pacific Visualization Symposium (PacificVis 2015)", "pages_from": "247", "pages_to": "254", "publisher": "IEEE", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "the paper", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "lemuzic_2015_timelapse-paper.pdf", "type": "application/pdf", "size": 1414681, "path": "Publication:lemuzic_2015_timelapse", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/lemuzic_2015_timelapse-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/lemuzic_2015_timelapse-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "screenshot", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1804, "image_height": 810, "name": "lemuzic_2015_timelapse-screenshot.jpg", "type": "image/jpeg", "size": 238322, "path": "Publication:lemuzic_2015_timelapse", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/lemuzic_2015_timelapse-screenshot.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/lemuzic_2015_timelapse-screenshot:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/", "__class": "Publication" }, { "id": "mindek-2015-mc", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Automatized Summarization of Multiplayer Games", "date": "2015-04", "abstract": "We present a novel method for creating automatized gameplay dramatization of multiplayer video games. The dramatization serves as a visual form of guidance through dynamic 3D scenes with multiple foci, typical for such games. Our goal is to convey interesting aspects of the gameplay by animated sequences creating a summary of events which occurred during the game. Our technique is based on processing many cameras, which we refer to as a flock of cameras, and events captured during the gameplay, which we organize into a so-called event graph. Each camera has a lifespan with a certain time interval and its parameters such as position or look-up vector are changing over time. Additionally, during its lifespan each camera is assigned an importance function, which is dependent on the significance of the structures that are being captured by the camera. The images captured by the cameras are composed into a single continuous video using a set of operators based on cinematographic effects. The sequence of operators is selected by traversing the event graph and looking for specific patterns corresponding to the respective operators. In this way, a large number of cameras can be processed to generate an informative visual story presenting the gameplay. Our compositing approach supports insets of camera views to account for several important cameras simultaneously. Additionally, we create seamless transitions between individual selected camera views in order to preserve temporal continuity, which helps the user to follow the virtual story of the gameplay.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 400, "image_height": 302, "name": "mindek-2015-mc-.png", "type": "image/png", "size": 137906, "path": "Publication:mindek-2015-mc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935, 1246, 171, 166, 161 ], "booktitle": "Proceedings of Spring Conference on Computer Graphics 2015", "date_from": "2015-04-22", "date_to": "2015-04-24", "editor": "Joaquim Jorge, Luis Paulo Santos, Roman Durikovic", "isbn": "978-80-223-3844-8", "lecturer": [ 935 ], "location": "Smolenice, Slovakia", "pages_from": "93", "pages_to": "100", "publisher": "Comenius University, Bratislava", "research_areas": [ "IllVis" ], "keywords": [ "storytelling", "game visualization", "animation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 400, "image_height": 302, "name": "mindek-2015-mc-.png", "type": "image/png", "size": 137906, "path": "Publication:mindek-2015-mc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-2015-mc-Paper.pdf", "type": "application/pdf", "size": 281246, "path": "Publication:mindek-2015-mc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-Paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-2015-mc-Slides.zip", "type": "application/zip", "size": 33951287, "path": "Publication:mindek-2015-mc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-Slides.zip", "thumb_image_sizes": [] } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/", "__class": "Publication" }, { "id": "Viola_Ivan_IIP", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Interactively illustrating polymerization using three-level model fusion", "date": "2014-10", "abstract": "Background: Research in cell biology is steadily contributing new knowledge about many aspects of physiological \nprocesses, both with respect to the involved molecular structures as well as their related function. llustrations of the spatio-temporal development of such processes are not only used in biomedical education, but also can serve scientists as an additional platform for in-silico experiments.\n\nResults: In this paper, we contribute a new, three-level modeling approach to illustrate physiological processes from\nthe class of polymerization at different time scales. We integrate physical and empirical modeling, according to which approach best suits the different involved levels of detail, and we additionally enable a form of interactive steering, while the process is illustrated. We demonstrate the suitability of our approach in the context of several polymerization processes and report from a first evaluation with domain experts.\n\nConclusion: We conclude that our approach provides a new, hybrid modeling approach for illustrating the process of emergence in physiology, embedded in a densely filled environment. Our approach of a complementary fusion of three systems combines the strong points from the different modeling approaches and is capable to bridge different spatial and temporal scales.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 339, "image_height": 241, "name": "Viola_Ivan_IIP-.jpg", "type": "image/jpeg", "size": 12109, "path": "Publication:Viola_Ivan_IIP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/Viola_Ivan_IIP-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/Viola_Ivan_IIP-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1192, 1143, 171, 161, 1190, 176 ], "issn": "1471-2105", "journal": "BMC Bioinformatics 2014", "number": "345", "pages_from": "1", "pages_to": "16", "volume": "15", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "Multi-agent modeling", "L-system modeling", "Biochemical visualization", "Visualization of physiology", "Polymerization" ], "weblinks": [ { "href": "http://www.biomedcentral.com/1471-2105/15/345", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 339, "image_height": 241, "name": "Viola_Ivan_IIP-.jpg", "type": "image/jpeg", "size": 12109, "path": "Publication:Viola_Ivan_IIP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/Viola_Ivan_IIP-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/Viola_Ivan_IIP-:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_IIP-Paper.pdf", "type": "application/pdf", "size": 2018235, "path": "Publication:Viola_Ivan_IIP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/Viola_Ivan_IIP-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/Viola_Ivan_IIP-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/", "__class": "Publication" }, { "id": "Gehrer_Daniel_CUI", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "CellUnity an Interactive Tool for Illustrative Visualization of Molecular Reactions", "date": "2014-09", "abstract": "CellUnity is a tool for interactive visualization of molecular reactions using the Unity game engine. Current mesoscale visualizations commonly utilize the results of particle-based simulations, which account for spatial information of each single particle and are supposed to mimic a realistic behavior of the metabolites. However, this approach employs stochastic simulation methods which do not offer any control over the visualized output. CellUnity, on the other hand, exploits the results of deterministic simulations which are purely quantitative and in that way offering full user control over the spatial locations of the reactions. The user is able to trigger reactions on demand instead of having to wait or search for a specific type of reaction event, while the quantities of displayed molecules would still be in accordance with real scientific data. CellUnity exploits the simulation results in real time and allows the user to freely modify simulation parameters while the system is running. The tool was realized in Unity, a cross-platform game engine that also comprises a free version with adequate functionality and therefore enables easy deployment of the project.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 857, "image_height": 478, "name": "Gehrer_Daniel_CUI-image.png", "type": "image/png", "size": 216700, "path": "Publication:Gehrer_Daniel_CUI", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Gehrer_Daniel_CUI/Gehrer_Daniel_CUI-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Gehrer_Daniel_CUI/Gehrer_Daniel_CUI-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1194 ], "matrikelnr": "1125229 ", "supervisor": [ 171, 1189 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bakk Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Gehrer_Daniel_CUI-Bakk Thesis.pdf", "type": "application/pdf", "size": 1613208, "path": "Publication:Gehrer_Daniel_CUI", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Gehrer_Daniel_CUI/Gehrer_Daniel_CUI-Bakk Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Gehrer_Daniel_CUI/Gehrer_Daniel_CUI-Bakk Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 857, "image_height": 478, "name": "Gehrer_Daniel_CUI-image.png", "type": "image/png", "size": 216700, "path": "Publication:Gehrer_Daniel_CUI", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Gehrer_Daniel_CUI/Gehrer_Daniel_CUI-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Gehrer_Daniel_CUI/Gehrer_Daniel_CUI-image:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Gehrer_Daniel_CUI/", "__class": "Publication" }, { "id": "Langer_Edith_IR1", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Image Retrieval on Co-registered Confocal Microscopy Image Collections", "date": "2014-08-26", "abstract": "Biologists at the Institute of Molecular Pathology (IMP) in Vienna scan brains of the species Drosophila melanogaster with a confocal microscope to find relations between genes, brain structure and behavior. The database contains now more than 40.000 volumetric images, which makes it time-consuming to search for an image of interest. For biologists it would be very help-ful to have a method which can be used to search for specific images and works on the perceptual level of content.\nThe aim of this thesis is to develop a Content Based Image Retrieval (CBIR) method customized for 3D fly brain images. A biologist can choose an image which shows interesting gene expressions and as result images which are visually similar should be retrieved. Exhaustive lit-\nerature research shows that in the biological field nothing comparable exists. However, CBIR plays an important role in the medical domain, which deals also with 3D images and therefore\npublications in this area can be seen as related.\nThe voxelwise comparison of two images would be on the one hand computationally expensive and on the other hand not practicable due to image registration errors and anatomical variations of neuronal structures. Creating maximum intensity projections from three directions\nand applying a principal component analysis on the gray values overcomes the before mentioned drawbacks and delivers satisfying results.\nThe fly brain can be divided into regions, so-called neuropils. The proposed method works on the basis of neuropils. This has, among others, the advantage that not only a global similarity can be computed, but also a comparison of images based on only some of the neuropils is possible.\nAn extensive evaluation of the developed method is given including a parameter space exploration. For example, different lengths of the feature vectors, which describe a fly brain in a lower dimensional space, are tried and also different distance measures are tested. The evaluation shows satisfying results and that the method facilitates the work of biologists when they are looking for similar images to create a hypothesis about the connection of genes and behavior. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 328, "image_height": 163, "name": "Langer_Edith_IR1-image.jpg", "type": "image/jpeg", "size": 10316, "path": "Publication:Langer_Edith_IR1", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Langer_Edith_IR1/Langer_Edith_IR1-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Langer_Edith_IR1/Langer_Edith_IR1-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1136 ], "date_end": "2014-08-26", "date_start": "2013-08-26", "matrikelnr": "0725806", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 328, "image_height": 163, "name": "Langer_Edith_IR1-image.jpg", "type": "image/jpeg", "size": 10316, "path": "Publication:Langer_Edith_IR1", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Langer_Edith_IR1/Langer_Edith_IR1-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Langer_Edith_IR1/Langer_Edith_IR1-image:thumb{{size}}.png" }, { "description": null, "filetitle": "master thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Langer_Edith_IR1-master thesis.pdf", "type": "application/pdf", "size": 14045224, "path": "Publication:Langer_Edith_IR1", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Langer_Edith_IR1/Langer_Edith_IR1-master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Langer_Edith_IR1/Langer_Edith_IR1-master thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Langer_Edith_IR1/", "__class": "Publication" }, { "id": "kolesar-ivan-2014-polymers", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Illustrating Polymerization using Three-level Model Fusion", "date": "2014-07", "abstract": "Research in cell biology is steadily contributing new knowledge about many\ndi?erent aspects of physiological processes like polymerization, both with respect to the involved molecular structures as well as their related function. Illustrations of the spatio-temporal development of such processes are not only used in biomedical education, but also can serve scientists as an additional platform for in-silico experiments. In this paper, we contribute a new, three-level modeling approach to illustrate physiological processes from the class of polymerization at di?erent time scales. We integrate physical and empirical modeling, according to which approach suits the di?erent involved levels of detail best, and we additionally enable a simple form of interactive steering while the process is illustrated. We demonstrate the suitability of our approach in the context of several polymerization processes and report from a ?rst evaluation with domain experts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 511, "image_height": 433, "name": "kolesar-ivan-2014-polymers-image.jpg", "type": "image/jpeg", "size": 26704, "path": "Publication:kolesar-ivan-2014-polymers", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/kolesar-ivan-2014-polymers-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/kolesar-ivan-2014-polymers-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1192, 1143, 171, 161, 1190, 176 ], "booktitle": "Proceedings of IEEE BioVis 2014", "date_from": "2014-07-11", "date_to": "2014-07-12", "lecturer": [ 1192 ], "location": "Boston, USA", "organization": "4th Symposium on Biological Data Visualization (in Conjunction with the International Conference on Intelligent Systems for Molecular Biology (ISMB 2014)) ", "pages_from": "1", "pages_to": "22", "publisher": "IEEE Digital Library", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 511, "image_height": 433, "name": "kolesar-ivan-2014-polymers-image.jpg", "type": "image/jpeg", "size": 26704, "path": "Publication:kolesar-ivan-2014-polymers", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/kolesar-ivan-2014-polymers-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/kolesar-ivan-2014-polymers-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "kolesar-ivan-2014-polymers-paper.pdf", "type": "application/pdf", "size": 1642885, "path": "Publication:kolesar-ivan-2014-polymers", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/kolesar-ivan-2014-polymers-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/kolesar-ivan-2014-polymers-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/", "__class": "Publication" }, { "id": "Moellinger_Christian_IDE2", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Data Editing of Time-Dependent Data in Visual Analysis", "date": "2014-06-28", "abstract": "In the so called information age, data is widely available. Sources include data collection as a byproduct (e.g., log files on a server, or as a more concrete example, movement profiles of smartphone users) and data generation for particular purposes (e.g., simulation runs, data gathered from sensors). To benefit from\nthis huge amount of available data, the data must be analyzed and relevant information must be extracted.\nVisual Analytics has become an important approach to identify and extract relevant information from data, especially with big data sets.\nHowever, data can also contain erroneous values for different reasons, e.g., caused by defect sensors. In data warehousing projects, transforming and edit the data into a usable state can account up for 80% of the cost and the development time.\nThis diploma thesis focuses on time-dependent data and presents an extension for the existing visual\nanalytics framework VISPLORE, to support the user in the process of data editing. Using plausibility rules, the user can define data checks and imputation strategies. Three different overviews, a data-based overview, a group-based overview, and a rule-based overview provide insight into the structure of implausible data values and the defined plausibility rules. Implausible values can be imputed using the\ndefined imputation strategies and existing visualization techniques are extended to enable the user getting an overview of the modified values. Real-world data is used to demonstrate two use-cases. Limitations of the provided overviews, e.g., scalability for a large number of plausibility rules, are discussed and ideas\nfor future work are outlined. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 491, "image_height": 278, "name": "Moellinger_Christian_IDE2-image.jpg", "type": "image/jpeg", "size": 34091, "path": "Publication:Moellinger_Christian_IDE2", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Moellinger_Christian_IDE2/Moellinger_Christian_IDE2-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Moellinger_Christian_IDE2/Moellinger_Christian_IDE2-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 859 ], "date_end": "2014-06-28", "date_start": "2014-06-28", "matrikelnr": "0725979", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 491, "image_height": 278, "name": "Moellinger_Christian_IDE2-image.jpg", "type": "image/jpeg", "size": 34091, "path": "Publication:Moellinger_Christian_IDE2", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Moellinger_Christian_IDE2/Moellinger_Christian_IDE2-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Moellinger_Christian_IDE2/Moellinger_Christian_IDE2-image:thumb{{size}}.png" }, { "description": null, "filetitle": "master thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Moellinger_Christian_IDE2-master thesis.pdf", "type": "application/pdf", "size": 7676771, "path": "Publication:Moellinger_Christian_IDE2", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Moellinger_Christian_IDE2/Moellinger_Christian_IDE2-master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Moellinger_Christian_IDE2/Moellinger_Christian_IDE2-master thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Moellinger_Christian_IDE2/", "__class": "Publication" }, { "id": "lemuzic-2014-ivm", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Illustrative Visualization of Molecular Reactions using Omniscient Intelligence and Passive Agents ", "date": "2014-06", "abstract": "In this paper we propose a new type of a particle systems, tailored for illustrative visualization purposes, in particular for visualizing molecular reactions in biological networks. Previous visualizations of biochemical processes were exploiting the results of agent-based modeling. Such modeling aims at reproducing accurately the stochastic nature of molecular interactions. However, it is impossible to expect events of interest happening at a certain time and location, which is impractical for storytelling. To obtain the means of controlling molecular interactions, we propose to govern passive agents with an omniscient intelligence, instead of giving to the agents the freedom of initiating reaction autonomously. This makes it possible to generate illustrative animated stories that communicate the functioning of the molecular machinery. The rendering performance delivers for interactive framerates of massive amounts of data, based on the dynamic tessellation capabilities of modern graphics cards. Finally, we report an informal expert feedback we obtained from the potential users.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1027, "image_height": 1027, "name": "lemuzic-2014-ivm-image.jpg", "type": "image/jpeg", "size": 399463, "path": "Publication:lemuzic-2014-ivm", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1189, 1143, 1190, 171 ], "date_from": "2014-06-09", "date_to": "2014-06-13", "event": "EuroVis", "journal": "Computer Graphics Forum", "lecturer": [ 1189 ], "location": "Swansea, Wales, UK", "note": "Article first published online: 12 JUL 2014", "number": "3", "pages_from": "141", "pages_to": "150", "volume": "33", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12370/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1027, "image_height": 1027, "name": "lemuzic-2014-ivm-image.jpg", "type": "image/jpeg", "size": 399463, "path": "Publication:lemuzic-2014-ivm", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "lemuzic-2014-ivm-paper.pdf", "type": "application/pdf", "size": 2888693, "path": "Publication:lemuzic-2014-ivm", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1920, "preview_image_height": 1080, "name": "lemuzic-2014-ivm-video.mp4", "type": "video/mp4", "size": 288142406, "path": "Publication:lemuzic-2014-ivm", "preview_name": "lemuzic-2014-ivm-video:preview.png", "preview_type": "image/jpeg", "preview_size": 33186, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-video:video.mp4" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/", "__class": "Publication" }, { "id": "Viola_Ivan_CLD", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Continuous Levels-of-Detail and Visual Abstraction for Seamless Molecular Visualization", "date": "2014-05", "abstract": "Molecular visualization is often challenged with rendering of large molecular structures in real time. We introduce a novel approach that enables us to show even large protein complexes. Our method is based on the level-of-detail concept, where we exploit three different abstractions combined in one visualization. Firstly, molecular surface abstraction exploits three different surfaces, solvent-excluded surface (SES), Gaussian kernels and van der Waals spheres, combined as one surface by linear interpolation. Secondly, we introduce three shading abstraction levels and a method for creating seamless transitions between these representations. The SES representation with full shading and added contours stands in focus while on the other side a sphere representation of a cluster of atoms with constant shading and without contours provide the context. Thirdly, we propose a hierarchical abstraction based on a set of clusters formed on molecular atoms. All three abstraction models are driven by one importance function classifying the scene into the near-, mid- and far-field. Moreover, we introduce a methodology to render the entire molecule directly using the A-buffer technique, which further improves the performance. The rendering performance is evaluated on series of molecules of varying atom counts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 904, "image_height": 1414, "name": "Viola_Ivan_CLD-.jpg", "type": "image/jpeg", "size": 1057574, "path": "Publication:Viola_Ivan_CLD", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_CLD/Viola_Ivan_CLD-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_CLD/Viola_Ivan_CLD-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1143, 1185, 951, 161, 1186, 171 ], "issn": "0167-7055", "journal": "Computer Graphics Forum", "number": "6", "pages_from": "276", "pages_to": "287", "volume": "33", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "clustering", "implicit surfaces", "level of detail algorithms", "scientific visualization", "Computer Applications" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12349/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 904, "image_height": 1414, "name": "Viola_Ivan_CLD-.jpg", "type": "image/jpeg", "size": 1057574, "path": "Publication:Viola_Ivan_CLD", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_CLD/Viola_Ivan_CLD-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_CLD/Viola_Ivan_CLD-:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_CLD/", "__class": "Publication" }, { "id": "lemuzic_2014_ipv", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Illustrative Visualization of Biochemical Processes Featuring Multiple Temporal Scales", "date": "2014", "abstract": "Scientific illustrators are commonly using structural description of molecular compounds when depicting complex biochemical processes. However, computational biology also provides procedural models describing the function of biological processes which are not currently used in the production pipeline. Instead, animators utilize scientific knowledge to manually animate and reproduce the functioning of cellular biology. We would like to explore the use of such models in order to generate explanatory illustrations that would show how molecular machinery works. Particle-based simulations provide the means for spatially representing the dynamics of biochemical processes. They compute the positions of each single particle and are supposed to \nmimic a realistic behaviour of the metabolites. Current mesoscale visualization also allows to directly show the results of such simulations by mapping the positions of particles in a virtual 3D environment. Nevertheless, some biochemical processes, like the DNA repair for instance, exhibit temporal multiscale aspects because they comprise diffusion rates which are much greater in comparison with reaction rates. As a result, it is challenging to produce a clear and coherent visualization out of this type of simulation. Indeed, when viewing the process at the pace which would let us see the reactions, it becomes impossible for the human eye to keep track of individual elements because of the very large diffusion displacements. On the other hand, if one would playback the simulation slow enough to be see a steady motion of individual elements, then only a very few number of reactions would occur in a reasonable amount of time. In this work we propose to solve the problem associated with multiple temporal scales by providing means for spatial. With this approach we aim at showing the two different temporal scale at the same time by using advanced trajectory smoothing mechanism. This would allow us to see individual elements while showing a world full of reactions, hence enabling us to communicate complex biological processes and molecular machineries in a comprehensive way.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "lemuzic_2014_ipv-.pdf", "type": "application/pdf", "size": 823052, "path": "Publication:lemuzic_2014_ipv", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic_2014_ipv/lemuzic_2014_ipv-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic_2014_ipv/lemuzic_2014_ipv-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1189, 1143, 1110, 171 ], "date_from": "2014-09-04", "date_to": "2014-09-05", "event": "Eurographics Workshop on Visual Computing for Biology", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "lemuzic_2014_ipv-.pdf", "type": "application/pdf", "size": 823052, "path": "Publication:lemuzic_2014_ipv", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic_2014_ipv/lemuzic_2014_ipv-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic_2014_ipv/lemuzic_2014_ipv-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic_2014_ipv/", "__class": "Publication" }, { "id": "Viola_Ivan_2013_SVA", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Seamless Visual Abstraction of Molecular Surfaces", "date": "2013-05", "abstract": "Molecular visualization is often challenged with rendering of large\nsequences of molecular simulations in real time. We introduce a\nnovel approach that enables us to show even large protein complexes\nover time in real-time. Our method is based on the level-ofdetail\nconcept, where we exploit three different molecular surface\nmodels, solvent excluded surface (SES), Gaussian kernels and van\nder Waals spheres combined in one visualization. We introduce\nthree shading levels that correspond to their geometric counterparts\nand a method for creating seamless transition between these representations.\nThe SES representation with full shading and added\ncontours stands in focus while on the other side a sphere representation\nwith constant shading and without contours provide the\ncontext. Moreover, we introduce a methodology to render the entire\nmolecule directly using the A-buffer technique, which further\nimproves the performance. The rendering performance is evaluated\non series of molecules of varying atom counts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1935, "image_height": 1564, "name": "Viola_Ivan_2013_SVA-.png", "type": "image/png", "size": 1049474, "path": "Publication:Viola_Ivan_2013_SVA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_SVA/Viola_Ivan_2013_SVA-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_SVA/Viola_Ivan_2013_SVA-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1143, 951, 171 ], "booktitle": "SCCG 2013 - 29th Proceedings Spring conference on Computer Graphics", "date_from": "2013-05-01", "date_to": "2013-05-03", "editor": "Roman Durikovič, Holly Rushmeier", "isbn": "978-80-223-3377-1", "lecturer": [ 1143 ], "location": "Smolenice, Slovak Republic", "organization": "Comenius University, Bratislava", "pages_from": "120", "pages_to": "127", "publisher": "ACM Publishing House", "series": " SCCG '13", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "Implicit Surfaces", " Level-of-detail", "Visualization of Molecular Surfaces" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1935, "image_height": 1564, "name": "Viola_Ivan_2013_SVA-.png", "type": "image/png", "size": 1049474, "path": "Publication:Viola_Ivan_2013_SVA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_SVA/Viola_Ivan_2013_SVA-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_SVA/Viola_Ivan_2013_SVA-:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_2013_SVA-Paper.pdf", "type": "application/pdf", "size": 8039783, "path": "Publication:Viola_Ivan_2013_SVA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_SVA/Viola_Ivan_2013_SVA-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_SVA/Viola_Ivan_2013_SVA-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_SVA/", "__class": "Publication" }, { "id": "Birkeland-2012-IMC", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Illustrative Membrane Clipping", "date": "2012-06", "abstract": "Clipping is a fast, common technique for resolving occlusions. It only requires simple interaction, is easily understandable,\nand thus has been very popular for volume exploration. However, a drawback of clipping is that the\ntechnique indiscriminately cuts through features. Illustrators, for example, consider the structures in the vicinity\nof the cut when visualizing complex spatial data and make sure that smaller structures near the clipping plane are\nkept in the image and not cut into fragments. In this paper we present a new technique, which combines the simple\nclipping interaction with automated selective feature preservation using an elastic membrane. In order to prevent\ncutting objects near the clipping plane, the deformable membrane uses underlying data properties to adjust itself\nto salient structures. To achieve this behaviour, we translate data attributes into a potential field which acts on the\nmembrane, thus moving the problem of deformation into the soft-body dynamics domain. This allows us to exploit\nexisting GPU-based physics libraries which achieve interactive frame rates. For manual adjustment, the user can\ninsert additional potential fields, as well as pinning the membrane to interesting areas. We demonstrate that our\nmethod can act as a flexible and non-invasive replacement of traditional clipping planes.", "authors_et_al": false, "substitute": null, "main_image": { "description": "The hippocampus in a mouse brain imaged using ultramicroscopy", "filetitle": "Teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1027, "image_height": 609, "name": "Birkeland-2012-IMC-Teaser.jpg", "type": "image/jpeg", "size": 187433, "path": "Publication:Birkeland-2012-IMC", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1007, 161, 1008, 171 ], "date_from": "2012-06-05", "date_to": "2012-06-08", "event": "EuroVis 2012", "journal": "Computer Graphics Forum", "lecturer": [ 1007 ], "location": "Vienna, Austria", "note": "presented at EuroVis 2012", "number": "3", "pages_from": "905", "pages_to": "914", "volume": "31", "research_areas": [ "IllVis", "MedVis" ], "keywords": [ "illustrative visualization", "volume rendering", "clipping" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2012.03083.x/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Birkeland-2012-IMC-Paper.pdf", "type": "application/pdf", "size": 21540990, "path": "Publication:Birkeland-2012-IMC", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Paper:thumb{{size}}.png" }, { "description": "The hippocampus in a mouse brain imaged using ultramicroscopy", "filetitle": "Teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1027, "image_height": 609, "name": "Birkeland-2012-IMC-Teaser.jpg", "type": "image/jpeg", "size": 187433, "path": "Publication:Birkeland-2012-IMC", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Teaser:thumb{{size}}.png" }, { "description": "Video Demonstration", "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 800, "preview_image_height": 600, "name": "Birkeland-2012-IMC-Video.wmv", "type": "text/plain", "size": 26372220, "path": "Publication:Birkeland-2012-IMC", "preview_name": "Birkeland-2012-IMC-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 15856, "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Video.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Video:thumb{{size}}.png" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/", "__class": "Publication" }, { "id": "Peter_2012_AIV", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Semantics by Analogy for Illustrative Volume Visualization", "date": "2012-05", "abstract": "We present an interactive graphical approach for the explicit specification of semantics for volume visualization. This explicit and\ngraphical specification of semantics for volumetric features allows us to visually assign meaning to both input and output parameters\nof the visualization mapping. This is in contrast to the implicit way of specifying semantics using transfer functions. In particular,\nwe demonstrate how to realize a dynamic specification of semantics which allows to flexibly explore a wide range of mappings.\nOur approach is based on three concepts. First, we use semantic shader augmentation to automatically add rule-based rendering\nfunctionality to static visualization mappings in a shader program, while preserving the visual abstraction that the initial shader\nencodes. With this technique we extend recent developments that define a mapping between data attributes and visual attributes\nwith rules, which are evaluated using fuzzy logic. Second, we let users define the semantics by analogy through brushing on\nrenderings of the data attributes of interest. Third, the rules are specified graphically in an interface that provides visual clues for\npotential modifications. Together, the presented methods offer a high degree of freedom in the specification and exploration of\nrule-based mappings and avoid the limitations of a linguistic rule formulation.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 1024, "name": "Peter_2012_AIV-Image.jpg", "type": "image/jpeg", "size": 177301, "path": "Publication:Peter_2012_AIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 649, 488, 960, 166 ], "journal": "Computers & Graphics", "number": "3", "pages_from": "201", "pages_to": "213", "volume": "36", "research_areas": [ "IllVis" ], "keywords": [ "shader augmentation", "semantic visualization mapping", "illustrative visualization", "Volume rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 1024, "name": "Peter_2012_AIV-Image.jpg", "type": "image/jpeg", "size": 177301, "path": "Publication:Peter_2012_AIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Peter_2012_AIV-Paper.pdf", "type": "application/pdf", "size": 16916371, "path": "Publication:Peter_2012_AIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 720, "preview_image_height": 576, "name": "Peter_2012_AIV-Video.avi", "type": "video/x-msvideo", "size": 9530552, "path": "Publication:Peter_2012_AIV", "preview_name": "Peter_2012_AIV-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 36302, "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Video:video.mp4" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/", "__class": "Publication" }, { "id": "Groeller_2011_IPV", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Illustrative Particle Visualization of 4D MRI Blood-Flow Data", "date": "2011-05", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 891, 166, 965, 459 ], "booktitle": "Biomedical Image Analysis", "date_from": "2011-05-31", "date_to": "2011-06-03", "event": "EuroVis 2011", "location": "Bergen, Norway", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Groeller_2011_IPV-Poster.pdf", "type": "application/pdf", "size": 1097741, "path": "Publication:Groeller_2011_IPV", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_IPV/Groeller_2011_IPV-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_IPV/Groeller_2011_IPV-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_IPV/", "__class": "Publication" }, { "id": "Balabanian-2010-IIV", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Interactive Illustrative Visualization of Hierarchical Volume Data", "date": "2010-06", "abstract": "In scientific visualization the underlying data often has an inherent\nabstract and hierarchical structure. Therefore, the same dataset\ncan simultaneously be studied with respect to its characteristics in\nthe three-dimensional space and in the hierarchy space. Often both\ncharacteristics are equally important to convey. For such scenarios\nwe explore the combination of hierarchy visualization and scientific\nvisualization, where both data spaces are effectively integrated.\nWe have been inspired by illustrations of species evolutions where\nhierarchical information is often present. Motivated by these traditional\nillustrations, we introduce integrated visualizations for hierarchically\norganized volumetric datasets. The hierarchy data is\ndisplayed as a graph, whose nodes are visually augmented to depict\nthe corresponding 3D information. These augmentations include\nimages due to volume raycasting, slicing of 3D structures, and indicators\nof structure visibility from occlusion testing. New interaction\nmetaphors are presented that extend visualizations and interactions,\ntypical for one visualization space, to control visualization parameters\nof the other space. Interaction on a node in the hierarchy influences\nvisual representations of 3D structures and vice versa. We\nintegrate both the abstract and the scientific visualizations into one\nview which avoids frequent refocusing typical for interaction with\nlinked-view layouts. We demonstrate our approach on different volumetric\ndatasets enhanced with hierarchical information.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1417, "image_height": 1313, "name": "Balabanian-2010-IIV-image.jpg", "type": "image/jpeg", "size": 197080, "path": "Publication:Balabanian-2010-IIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-IIV/Balabanian-2010-IIV-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-IIV/Balabanian-2010-IIV-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 673, 171, 166 ], "booktitle": "Proceedings of Graphics Interface 2010", "date_from": "2010-05-31", "date_to": "2010-06-02", "lecturer": [ 673 ], "location": "Ottawa, Ontario, Canada", "pages_from": "137", "pages_to": "144", "research_areas": [ "IllVis", "MedVis" ], "keywords": [ "visualization, volume data, hierarchical" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1417, "image_height": 1313, "name": "Balabanian-2010-IIV-image.jpg", "type": "image/jpeg", "size": 197080, "path": "Publication:Balabanian-2010-IIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-IIV/Balabanian-2010-IIV-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-IIV/Balabanian-2010-IIV-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Balabanian-2010-IIV-Paper.pdf", "type": "application/pdf", "size": 3410109, "path": "Publication:Balabanian-2010-IIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-IIV/Balabanian-2010-IIV-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-IIV/Balabanian-2010-IIV-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-IIV/", "__class": "Publication" }, { "id": "bruckner-2010-HVC", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Hybrid Visibility Compositing and Masking for Illustrative Rendering", "date": "2010", "abstract": "In this paper, we introduce a novel framework for the compositing of interactively rendered 3D layers\ntailored to the needs of scientific illustration. Currently, traditional scientific illustrations are produced\nin a series of composition stages, combining different pictorial elements using 2D digital layering. Our\napproach extends the layer metaphor into 3D without giving up the advantages of 2D methods. The\nnew compositing approach allows for effects such as selective transparency, occlusion overrides, and\nsoft depth buffering. Furthermore, we show how common manipulation techniques such as masking\ncan be integrated into this concept. These tools behave just like in 2D, but their influence extends\nbeyond a single viewpoint. Since the presented approach makes no assumptions about the underlying\nrendering algorithms, layers can be generated based on polygonal geometry, volumetric data, pointbased\nrepresentations, or others. Our implementation exploits current graphics hardware and permits\nreal-time interaction and rendering.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 854, "image_height": 913, "name": "bruckner-2010-HVC-Image.jpg", "type": "image/jpeg", "size": 307188, "path": "Publication:bruckner-2010-HVC", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161, 488, 171, 862, 565, 166 ], "journal": "Computers & Graphics", "number": "34", "pages_from": "361", "pages_to": "369", "research_areas": [ "IllVis", "MedVis" ], "keywords": [ "compositing", "masking", "illustration" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 854, "image_height": 913, "name": "bruckner-2010-HVC-Image.jpg", "type": "image/jpeg", "size": 307188, "path": "Publication:bruckner-2010-HVC", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bruckner-2010-HVC-Preprint.pdf", "type": "application/pdf", "size": 2234448, "path": "Publication:bruckner-2010-HVC", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Preprint:thumb{{size}}.png" }, { "description": "Interactive demonstration", "filetitle": "Video 1", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 768, "preview_image_height": 852, "name": "bruckner-2010-HVC-Video 1.avi", "type": "video/x-msvideo", "size": 45092410, "path": "Publication:bruckner-2010-HVC", "preview_name": "bruckner-2010-HVC-Video 1:preview.png", "preview_type": "image/jpeg", "preview_size": 21243, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 1.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 1:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 1:video.mp4" }, { "description": "Computer-generated illustration of the reproductive system", "filetitle": "Video 2", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 768, "preview_image_height": 768, "name": "bruckner-2010-HVC-Video 2.avi", "type": "video/x-msvideo", "size": 25411494, "path": "Publication:bruckner-2010-HVC", "preview_name": "bruckner-2010-HVC-Video 2:preview.png", "preview_type": "image/jpeg", "preview_size": 37959, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 2.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 2:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 2:video.mp4" }, { "description": "Computer-generated illustration of the human liver", "filetitle": "Video 3", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 768, "preview_image_height": 768, "name": "bruckner-2010-HVC-Video 3.avi", "type": "video/x-msvideo", "size": 24452420, "path": "Publication:bruckner-2010-HVC", "preview_name": "bruckner-2010-HVC-Video 3:preview.png", "preview_type": "image/jpeg", "preview_size": 37344, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 3.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 3:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 3:video.mp4" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/", "__class": "Publication" }, { "id": "bruckner-2010-IFC", "type_id": "inbook", "tu_id": null, "repositum_id": null, "title": "Illustrative Focus+Context Approaches in Interactive Volume Visualization", "date": "2010", "abstract": "Illustrative techniques are a new and exciting direction in visualization research. Traditional techniques which have been used by scientific illustrators for centuries are re-examined under the light of modern computer technology. In this paper, we discuss the use of the focus+context concept for the illustrative visualization of volumetric data. We give an overview of the state-of-the-art and discuss recent approaches which employ this concept in novel ways.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 402, "image_height": 433, "name": "bruckner-2010-IFC-Teaser.png", "type": "image/png", "size": 117528, "path": "Publication:bruckner-2010-IFC", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-IFC/bruckner-2010-IFC-Teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-IFC/bruckner-2010-IFC-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161, 166, 591, 563, 872 ], "booktitle": "Scientific Visualization: Advanced Concepts", "chapter": "10", "editor": "Hans Hagen", "isbn": "978-3-939897-19-4", "note": "The article was originally written in 2005 after the Dagstuhl Seminar on Scientific Visualization and reflects the state-of-the-art at that time.", "pages_from": "136", "pages_to": "162", "series": "Dagstuhl Follow-Ups", "research_areas": [ "IllVis" ], "keywords": [ "Illustrative Visualization", "Volumetric Data" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "bruckner-2010-IFC-Paper.pdf", "type": "application/pdf", "size": 8221972, "path": "Publication:bruckner-2010-IFC", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-IFC/bruckner-2010-IFC-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-IFC/bruckner-2010-IFC-Paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 402, "image_height": 433, "name": "bruckner-2010-IFC-Teaser.png", "type": "image/png", "size": 117528, "path": "Publication:bruckner-2010-IFC", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-IFC/bruckner-2010-IFC-Teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-IFC/bruckner-2010-IFC-Teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-IFC/", "__class": "Publication" }, { "id": "Groeller-2010-IFI", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Illustrative Visualization", "date": "2010", "abstract": "Illustrations play a major role in the education process. Whether used to teach a surgical or radiologic procedure, to illustrate normal or aberrant anatomy, or to explain the functioning of a technical device, illustration significantly impacts learning. One of the key concepts for creating an expressive illustration is abstraction. Abstraction introduces a distortion between the visualization and the underlying model according to the communicative intent of the illustration. Inspired by observations from hand-made illustrations, similar techniques for the generation of rendered images have been developed. These techniques work on different levels: low level abstraction techniques (stylized depiction methods) deal with how objects should be presented, while high level abstraction techniques (smart visibility approaches) are concerned with what should be visible and recognizable. We review several existing approaches from both categories and describe concepts used in the design of a system for creating interactive illustrations directly from volumetric data. A fully dynamic three-dimensional illustration environment is discussed which directly operates on volume data. Single images have the aesthetic appeal of traditional illustrations, but can be interactively altered and explored. Furthermore, we discuss several illustrative concepts like style transfer functions, exploded views, semantic layers, and illustration-inspired integrated views. Further information on the presented techniques is available at http://www.cg.tuwien.ac.at/research/vis/. ", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2010-12-02", "event": "IFI colloquium", "location": "Department of Informatics, University of Zurich", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Groeller-2010-IFI/", "__class": "Publication" }, { "id": "sikachev-2010-ill_vis_vol_ren", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Illustrative Visualization and Volume Rendering", "date": "2010", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Title Figure", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 320, "image_height": 565, "name": "sikachev-2010-ill_vis_vol_ren-Title Figure.png", "type": "image/png", "size": 249139, "path": "Publication:sikachev-2010-ill_vis_vol_ren", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Title Figure.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Title Figure:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 864 ], "date_from": "2010-07-30", "date_to": "2010-07-30", "event": "-", "location": "Moscow, Russia", "research_areas": [ "IllVis" ], "keywords": [ "tuwien", "volume rendering", "vis-group", "illustrative visualization", "ViMaL" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Clothes Rendering with DX 10", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 640, "preview_image_height": 480, "name": "sikachev-2010-ill_vis_vol_ren-Clothes Rendering with DX 10.wmv", "type": "text/plain", "size": 2637167, "path": "Publication:sikachev-2010-ill_vis_vol_ren", "preview_name": "sikachev-2010-ill_vis_vol_ren-Clothes Rendering with DX 10:preview.png", "preview_type": "image/jpeg", "preview_size": 62493, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Clothes Rendering with DX 10.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Clothes Rendering with DX 10:thumb{{size}}.png" }, { "description": null, "filetitle": "CPVR - Hand", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 768, "preview_image_height": 768, "name": "sikachev-2010-ill_vis_vol_ren-CPVR - Hand.avi", "type": "video/x-msvideo", "size": 2492416, "path": "Publication:sikachev-2010-ill_vis_vol_ren", "preview_name": "sikachev-2010-ill_vis_vol_ren-CPVR - Hand:preview.png", "preview_type": "image/jpeg", "preview_size": 21358, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-CPVR - Hand.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-CPVR - Hand:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-CPVR - Hand:video.mp4" }, { "description": null, "filetitle": "CPVR - Tooth", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 768, "preview_image_height": 768, "name": "sikachev-2010-ill_vis_vol_ren-CPVR - Tooth.avi", "type": "video/x-msvideo", "size": 892928, "path": "Publication:sikachev-2010-ill_vis_vol_ren", "preview_name": "sikachev-2010-ill_vis_vol_ren-CPVR - Tooth:preview.png", "preview_type": "image/jpeg", "preview_size": 33756, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-CPVR - Tooth.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-CPVR - Tooth:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-CPVR - Tooth:video.mp4" }, { "description": null, "filetitle": "Exploded Views", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 512, "preview_image_height": 512, "name": "sikachev-2010-ill_vis_vol_ren-Exploded Views.avi", "type": "video/x-msvideo", "size": 30501888, "path": "Publication:sikachev-2010-ill_vis_vol_ren", "preview_name": "sikachev-2010-ill_vis_vol_ren-Exploded Views:preview.png", "preview_type": "image/jpeg", "preview_size": 18301, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Exploded Views.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Exploded Views:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Exploded Views:video.mp4" }, { "description": null, "filetitle": "LiveSync", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 800, "preview_image_height": 600, "name": "sikachev-2010-ill_vis_vol_ren-LiveSync.avi", "type": "video/x-msvideo", "size": 9722292, "path": "Publication:sikachev-2010-ill_vis_vol_ren", "preview_name": "sikachev-2010-ill_vis_vol_ren-LiveSync:preview.png", "preview_type": "image/jpeg", "preview_size": 16741, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-LiveSync.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-LiveSync:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-LiveSync:video.mp4" }, { "description": null, "filetitle": "Offline Rendering", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 640, "preview_image_height": 480, "name": "sikachev-2010-ill_vis_vol_ren-Offline Rendering.wmv", "type": "video/x-msvideo", "size": 4554752, "path": "Publication:sikachev-2010-ill_vis_vol_ren", "preview_name": "sikachev-2010-ill_vis_vol_ren-Offline Rendering:preview.png", "preview_type": "image/jpeg", "preview_size": 26979, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Offline Rendering.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Offline Rendering:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Offline Rendering:video.mp4" }, { "description": null, "filetitle": "Presentation", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sikachev-2010-ill_vis_vol_ren-Presentation.ppt", "type": "", "size": 12167168, "path": "Publication:sikachev-2010-ill_vis_vol_ren", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Presentation.ppt", "thumb_image_sizes": [] }, { "description": null, "filetitle": "Style Transfer Function", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1024, "preview_image_height": 1024, "name": "sikachev-2010-ill_vis_vol_ren-Style Transfer Function.avi", "type": "video/x-msvideo", "size": 45491680, "path": "Publication:sikachev-2010-ill_vis_vol_ren", "preview_name": "sikachev-2010-ill_vis_vol_ren-Style Transfer Function:preview.png", "preview_type": "image/jpeg", "preview_size": 88323, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Style Transfer Function.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Style Transfer Function:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Style Transfer Function:video.mp4" }, { "description": null, "filetitle": "Title Figure", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 320, "image_height": 565, "name": "sikachev-2010-ill_vis_vol_ren-Title Figure.png", "type": "image/png", "size": 249139, "path": "Publication:sikachev-2010-ill_vis_vol_ren", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Title Figure.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Title Figure:thumb{{size}}.png" }, { "description": null, "filetitle": "Transfer Function Change", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1140, "preview_image_height": 820, "name": "sikachev-2010-ill_vis_vol_ren-Transfer Function Change.wmv", "type": "text/plain", "size": 5272228, "path": "Publication:sikachev-2010-ill_vis_vol_ren", "preview_name": "sikachev-2010-ill_vis_vol_ren-Transfer Function Change:preview.png", "preview_type": "image/jpeg", "preview_size": 64459, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Transfer Function Change.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Transfer Function Change:thumb{{size}}.png" }, { "description": null, "filetitle": "Volume Shop Use Case", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 964, "preview_image_height": 740, "name": "sikachev-2010-ill_vis_vol_ren-Volume Shop Use Case.wmv", "type": "text/plain", "size": 7015616, "path": "Publication:sikachev-2010-ill_vis_vol_ren", "preview_name": "sikachev-2010-ill_vis_vol_ren-Volume Shop Use Case:preview.png", "preview_type": "image/jpeg", "preview_size": 37276, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Volume Shop Use Case.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Volume Shop Use Case:thumb{{size}}.png" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/", "__class": "Publication" }, { "id": "Rautek-2008-IDS", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Interaction-Dependent Semantics for Illustrative Volume Rendering", "date": "2008-05", "abstract": "In traditional illustration the choice of appropriate styles and rendering techniques is guided by the intention of\nthe artist. For illustrative volume visualizations it is difficult to specify the mapping between the 3D data and the visual representation that preserves the intention of the user. The semantic layers concept establishes this mapping with a linguistic formulation of rules that directly map data features to rendering styles. With semantic layers fuzzy logic is used to evaluate the user defined illustration rules in a preprocessing step.\nIn this paper we introduce interaction-dependent rules that are evaluated for each frame and are therefore computationally more expensive. Enabling interaction-dependent rules, however, allows the use of a new class of semantics, resulting in more expressive interactive illustrations. We show that the evaluation of the fuzzy logic can be done on the graphics hardware enabling the efficient use of interaction-dependent semantics. Further\nwe introduce the flat rendering mode and discuss how different rendering parameters are influenced by the rule\nbase. Our approach provides high quality illustrative volume renderings at interactive frame rates, guided by the\nspecification of illustration rules.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 793, "image_height": 475, "name": "Rautek-2008-IDS-image.png", "type": "image/png", "size": 211033, "path": "Publication:Rautek-2008-IDS", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 488, 161, 166 ], "event": "Eurographics/ IEEE-VGTC Symposium on Visualization", "journal": "Computer Graphics Forum", "lecturer": [ 488 ], "location": "Eindhoven, The Netherlands", "number": "3", "pages_from": "847", "pages_to": "854", "volume": "27", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image-result", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 332, "image_height": 598, "name": "Rautek-2008-IDS-image-result.png", "type": "image/png", "size": 178836, "path": "Publication:Rautek-2008-IDS", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-image-result.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-image-result:thumb{{size}}.png" }, { "description": null, "filetitle": "image-result01", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 437, "image_height": 605, "name": "Rautek-2008-IDS-image-result01.png", "type": "image/png", "size": 180091, "path": "Publication:Rautek-2008-IDS", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-image-result01.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-image-result01:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 793, "image_height": 475, "name": "Rautek-2008-IDS-image.png", "type": "image/png", "size": 211033, "path": "Publication:Rautek-2008-IDS", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Rautek-2008-IDS-paper.pdf", "type": "application/pdf", "size": 6701122, "path": "Publication:Rautek-2008-IDS", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 768, "preview_image_height": 768, "name": "Rautek-2008-IDS-video.avi", "type": "video/x-msvideo", "size": 25194564, "path": "Publication:Rautek-2008-IDS", "preview_name": "Rautek-2008-IDS-video:preview.png", "preview_type": "image/jpeg", "preview_size": 18454, "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-video:video.mp4" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/", "__class": "Publication" }, { "id": "bruckner-2008-IIV", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Illustrative Volume Visualization", "date": "2008-03", "abstract": "Illustrations are essential for the effective communication of complex subjects. Their production, however, is a difficult and expensive task. In recent years, three-dimensional imaging has become a vital tool not only in medical diagnosis and treatment planning, but also in many technical disciplines (e.g., material inspection), biology, and archeology. Modalities such as X-Ray Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) produce high-resolution volumetric scans on a daily basis. It seems counter-intuitive that even though such a wealth of data is available, the production of an illustration should still require a mainly manual and time-consuming process.\n\nThis thesis is devoted to the computer-assisted generation of illustrations directly from volumetric data using advanced visualization techniques. The concept of a direct volume illustration system is introduced for this purpose. Instead of requiring an additional modeling step, this system allows the designer of an illustration to work directly on the measured data. Abstraction, a key component of traditional illustrations, is used in order to reduce visual clutter, emphasize important structures, and reveal hidden detail. Low-level abstraction techniques are concerned with the appearance of objects and allow flexible artistic shading of structures in volumetric data sets. High-level abstraction techniques control which objects are visible. For this purpose, novel methods for the generation of ghosted and exploded views are introduced.\n\nThe visualization techniques presented in this thesis employ the features of current graphics hardware to achieve interactive performance. The resulting system allows the generation of expressive illustrations directly from volumetric data with applications in medical training, patient education, and scientific communication.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Illustrative visualization results", "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1024, "image_height": 1024, "name": "bruckner-2008-IIV-Teaser.jpg", "type": "image/jpeg", "size": 566494, "path": "Publication:bruckner-2008-IIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161 ], "date_end": "2008-03", "date_start": "2004-07", "rigorosum": "2008-04-11", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [ "volume rendering", "illustrative visualization" ], "weblinks": [], "files": [ { "description": "High-resolution version for printing", "filetitle": "print version", "main_file": false, "use_in_gallery": false, "access": "public", "name": "bruckner-2008-IIV-print version.pdf", "type": "application/pdf", "size": 77521619, "path": "Publication:bruckner-2008-IIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-print version.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-print version:thumb{{size}}.png" }, { "description": "Low-resolution version for screen viewing", "filetitle": "screen version", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bruckner-2008-IIV-screen version.pdf", "type": "application/pdf", "size": 16108841, "path": "Publication:bruckner-2008-IIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-screen version.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-screen version:thumb{{size}}.png" }, { "description": "Illustrative visualization results", "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1024, "image_height": 1024, "name": "bruckner-2008-IIV-Teaser.jpg", "type": "image/jpeg", "size": 566494, "path": "Publication:bruckner-2008-IIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-Teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/", "__class": "Publication" }, { "id": "groeller-2008-irs", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Illustrative Rendering with Style", "date": "2008", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2008-01-25", "event": "Kolloquium an der Technisch-Naturwissenschaftlichen Fakultät", "location": "Johannes Kepler Universität Linz, Austria", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/groeller-2008-irs/", "__class": "Publication" }, { "id": "purgathofer-2008-cgi", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Illustrative Visualization of Volume Data", "date": "2008", "abstract": "Illustrations are essential for the effective communication of complex subjects. Their production, however, is a dicult and expensive task. In recent years, three-dimensional imaging has become a vital tool not\nonly in medical diagnosis and treatment planning, but also in many technical disciplines (e.g., material inspection), biology, and archeology. Modalities such as X-Ray Computed Tomography (CT) and Magnetic\nResonance Imaging (MRI) produce high-resolution volumetric scans on a daily basis. It seems counter-intuitive that even though such a wealth of data is available, the production of an illustration should still\nrequire a mainly manual and time-consuming process.\n\nThis talk describes methods for the computer-assisted generation of illustrations directly from volumetric data using advanced visualization techniques. The use of a direct volume illustration system is shown for this purpose. Instead of requiring an additional modeling step, this system allows the designer of an illustration to work directly on the measured data. Abstraction, a key component of traditional illustrations, is used in order to reduce visual clutter, emphasize important structures, and reveal hidden detail. Low-level abstraction techniques are concerned with the appearance of objects and allow exible artistic shading of structures in volumetric data sets. High-level abstraction techniques control which objects are visible. For this purpose, novel methods for the generation of ghosted and exploded views\nare explained.\n\nThe visualization techniques presented in this talk were developed and implemented by Stefan Bruckner and employ the features of current graphics hardware to achieve interactive performance. The resulting system allows the generation of expressive illustrations directly from volumetric data with applications in medical training, patient education, and scientic communication.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2008-06-10", "event": "CGI - Computer Graphics International", "location": "Istanbul, Turkey", "research_areas": [ "IllVis" ], "keywords": [ "illustrative visualization" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/purgathofer-2008-cgi/", "__class": "Publication" }, { "id": "Rautek-2008-VF", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Illustrative Visualization – New Technology or Useless Tautology?", "date": "2008", "abstract": "This article can be accessed online in the \nACM SIGGRAPH, Computer Graphics Quarterly, \nVolume 42, Number 3:\n\nhttp://www.siggraph.org/publications/newsletter/volume-42-number-3/illustrative-visualization-2013-new-technology-or-useless-tautology", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 265, "image_height": 135, "preview_image_width": 256, "preview_image_height": 127, "name": "Rautek-2008-VF-image.png", "type": "image/png", "size": 6939, "path": "Publication:Rautek-2008-VF", "preview_name": "Rautek-2008-VF-image:preview.png", "preview_type": "image/png", "preview_size": 7568, "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-VF/Rautek-2008-VF-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-VF/Rautek-2008-VF-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 488, 161, 166, 171 ], "note": "online journal, without talk", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 265, "image_height": 135, "preview_image_width": 256, "preview_image_height": 127, "name": "Rautek-2008-VF-image.png", "type": "image/png", "size": 6939, "path": "Publication:Rautek-2008-VF", "preview_name": "Rautek-2008-VF-image:preview.png", "preview_type": "image/png", "preview_size": 7568, "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-VF/Rautek-2008-VF-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-VF/Rautek-2008-VF-image:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-VF/", "__class": "Publication" }, { "id": "patel_daniel_2007_IRSD", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Illustrative Rendering of Seismic Data", "date": "2007-11", "abstract": "In our work we present techniques for illustrative rendering of interpreted seismic volume data by adopting elements from geology book illustrations. We also introduce combined visualization techniques of interpreted and uninterpreted data for validation, comparison and interdisciplinary communication reasons. We introduce the concept of smooth transitions between these two semantical levels. To achieve this we present transfer functions that map seismic volume attributes to 2D textures that flow according to a deformation volume describing the buckling and discontinuities of the layers of the seismic data.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1436, "image_height": 644, "name": "patel_daniel_2007_IRSD-.jpg", "type": "image/jpeg", "size": 344126, "path": "Publication:patel_daniel_2007_IRSD", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 616, 668, 669, 166 ], "booktitle": "Proceeding of Vision Modeling and Visualization 2007", "date_from": "2007-11-07", "date_to": "2007-11-09", "editor": "Hendrik. Lensch, Bodo Rosenhahn, H.P. Seidel", "journal": "Vision, Modelling and Visualization", "lecturer": [ 616 ], "location": "Saarbrücken, Germany", "pages_from": "13", "pages_to": "22", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1436, "image_height": 644, "name": "patel_daniel_2007_IRSD-.jpg", "type": "image/jpeg", "size": 344126, "path": "Publication:patel_daniel_2007_IRSD", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-:thumb{{size}}.png" }, { "description": null, "filetitle": "Ill. rendering if seismic data", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1436, "image_height": 644, "name": "patel_daniel_2007_IRSD-Ill. rendering if seismic data.jpg", "type": "image/jpeg", "size": 344126, "path": "Publication:patel_daniel_2007_IRSD", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-Ill. rendering if seismic data.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-Ill. rendering if seismic data:thumb{{size}}.png" }, { "description": null, "filetitle": "Illustrative rendering", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1436, "image_height": 644, "name": "patel_daniel_2007_IRSD-Illustrative rendering.png", "type": "image/png", "size": 576188, "path": "Publication:patel_daniel_2007_IRSD", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-Illustrative rendering.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-Illustrative rendering:thumb{{size}}.png" }, { "description": "movie clip of application in use", "filetitle": "movie clip", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1436, "preview_image_height": 644, "name": "patel_daniel_2007_IRSD-movie clip.avi", "type": "video/x-msvideo", "size": 39037160, "path": "Publication:patel_daniel_2007_IRSD", "preview_name": "patel_daniel_2007_IRSD-movie clip:preview.png", "preview_type": "image/png", "preview_size": 576188, "url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-movie clip.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-movie clip:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-movie clip:video.mp4" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1492, "preview_image_height": 3468, "name": "patel_daniel_2007_IRSD-paper.pdf", "type": "application/pdf", "size": 14016071, "path": "Publication:patel_daniel_2007_IRSD", "preview_name": "patel_daniel_2007_IRSD-paper:preview.png", "preview_type": "image/png", "preview_size": 3369232, "url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/", "__class": "Publication" }, { "id": "Rautek-2007-SLI", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Semantic Layers for Illustrative Volume Rendering", "date": "2007-10", "abstract": "Direct volume rendering techniques map volumetric attributes (e.g., density, gradient magnitude, etc.) to visual styles. Commonly this mapping is specified by a transfer function. The specification of transfer functions is a complex task and requires expert knowledge about the underlying rendering technique. In the case of multiple volumetric attributes and multiple visual styles the specification of the multi-dimensional transfer function becomes more challenging and non-intuitive.\nWe present a novel methodology for the specification of a mapping from several volumetric attributes to multiple illustrative visual styles. \nWe introduce semantic layers that allow a domain expert to specify the mapping in the natural language of the domain. \nA semantic layer defines the mapping of volumetric attributes to one visual style. \nVolumetric attributes and visual styles are represented as fuzzy sets.\nThe mapping is specified by rules that are evaluated with fuzzy logic arithmetics. The user specifies the fuzzy sets and the rules without special knowledge about the underlying rendering technique. Semantic layers allow for a linguistic specification of the mapping from attributes to visual styles replacing the traditional transfer function specification.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "Rautek-2007-SLI-image.jpg", "type": "image/jpeg", "size": 81669, "path": "Publication:Rautek-2007-SLI", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 488, 161, 166 ], "date_from": "2007-10-28", "date_to": "2007-11-01", "event": "IEEE Visualization 2007", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 488 ], "location": "Sacramento, California, USA", "note": "to be presented at IEEE Visualization 2007", "number": "6", "pages_from": "1336", "pages_to": "1343", "volume": "13", "research_areas": [ "IllVis" ], "keywords": [ "Illustrative Visualization", "Volume Visualization", "Focus+Context Techniques" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "Rautek-2007-SLI-image.jpg", "type": "image/jpeg", "size": 81669, "path": "Publication:Rautek-2007-SLI", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Rautek-2007-SLI-paper.pdf", "type": "application/pdf", "size": 11683201, "path": "Publication:Rautek-2007-SLI", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1600, "preview_image_height": 1144, "name": "Rautek-2007-SLI-video.avi", "type": "video/x-msvideo", "size": 24765278, "path": "Publication:Rautek-2007-SLI", "preview_name": "Rautek-2007-SLI-video:preview.png", "preview_type": "image/jpeg", "preview_size": 29347, "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-video:video.mp4" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/", "__class": "Publication" }, { "id": "bruckner-2007-STF", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Style Transfer Functions for Illustrative Volume Rendering", "date": "2007-09", "abstract": "Illustrative volume visualization frequently employs non-photorealistic rendering techniques to enhance important features or to suppress unwanted details. However, it is difficult to integrate multiple non-photorealistic rendering approaches into a single framework due to great differences in the individual methods and their parameters. In this paper, we present the concept of style transfer functions. Our approach enables flexible data-driven illumination which goes beyond using the transfer function to just assign colors and opacities. An image-based lighting model uses sphere maps to represent non-photorealistic rendering styles. Style transfer functions allow us to combine a multitude of different shading styles in a single rendering. We extend this concept with a technique for curvature-controlled style contours and an illustrative transparency model. Our implementation of the presented methods allows interactive generation of high-quality volumetric illustrations.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Illustrative volume rendering of a human head using style transfer functions", "filetitle": "Head", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 875, "image_height": 1062, "name": "bruckner-2007-STF-Head.png", "type": "image/png", "size": 1499331, "path": "Publication:bruckner-2007-STF", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Head.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Head:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161, 166 ], "date_from": "2007-09-03", "date_to": "2007-09-07", "event": "Eurographics 2007", "journal": "Computer Graphics Forum", "lecturer": [ 161 ], "location": "Prague, Czech Republic", "note": "Eurographics 2007 3rd Best Paper Award", "number": "3", "pages_from": "715", "pages_to": "724", "volume": "26", "research_areas": [ "IllVis" ], "keywords": [ "illustrative visualization", "transfer functions", "volume rendering" ], "weblinks": [], "files": [ { "description": "Illustrative volume rendering of a human head using style transfer functions", "filetitle": "Head", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 875, "image_height": 1062, "name": "bruckner-2007-STF-Head.png", "type": "image/png", "size": 1499331, "path": "Publication:bruckner-2007-STF", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Head.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Head:thumb{{size}}.png" }, { "description": "Illustrative volume rendering of a human head using style transfer functions", "filetitle": "Human Head", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 875, "image_height": 1062, "name": "bruckner-2007-STF-Human Head.png", "type": "image/png", "size": 1499331, "path": "Publication:bruckner-2007-STF", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Human Head.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Human Head:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bruckner-2007-STF-Paper.pdf", "type": "application/pdf", "size": 13426711, "path": "Publication:bruckner-2007-STF", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Paper:thumb{{size}}.png" }, { "description": "Demonstration video", "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "bruckner-2007-STF-Video.avi", "type": "", "size": 45491680, "path": "Publication:bruckner-2007-STF", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Video.avi", "thumb_image_sizes": [] } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/", "__class": "Publication" }, { "id": "TR-186-2-07-08", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Illustrative rendering of seismic data", "date": "2007-05", "abstract": "We present multi attribute texture transfer functions for the generation of seismic illustrations. We render seismic data in the style of geological textbook illustrations by combining illustratively rendered axis aligned slices with volume rendering. We have extended the transfer function concept to map volume attributes to 2D textures that flow according to a deformation volume describing the buckling and discontinuites of the layers of the seismic data. Faults in the seismic layers are represented by texture disruptions. \n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1492, "image_height": 2630, "name": "TR-186-2-07-08-.jpg", "type": "image/jpeg", "size": 319353, "path": "Publication:TR-186-2-07-08", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-08/TR-186-2-07-08-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-08/TR-186-2-07-08-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 616, 668, 669, 166 ], "number": "TR-186-2-07-08", "research_areas": [ "IllVis" ], "keywords": [ "Seismic illustration", "Texture transfer function", "Texture mapping" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1492, "image_height": 2630, "name": "TR-186-2-07-08-.jpg", "type": "image/jpeg", "size": 319353, "path": "Publication:TR-186-2-07-08", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-08/TR-186-2-07-08-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-08/TR-186-2-07-08-:thumb{{size}}.png" }, { "description": "Techniques for rendering seismic data in the style of geological illustrations are investigated", "filetitle": "Ill. rendering of seismic data", "main_file": true, "use_in_gallery": true, "access": "public", "preview_image_width": 1492, "preview_image_height": 2630, "name": "TR-186-2-07-08-Ill. rendering of seismic data.pdf", "type": "application/pdf", "size": 3545846, "path": "Publication:TR-186-2-07-08", "preview_name": "TR-186-2-07-08-Ill. rendering of seismic data:preview.png", "preview_type": "image/jpeg", "preview_size": 319353, "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-08/TR-186-2-07-08-Ill. rendering of seismic data.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-08/TR-186-2-07-08-Ill. rendering of seismic data:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-08/", "__class": "Publication" }, { "id": "groeller-2006-ivt", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Illustrative Visualization Techniques", "date": "2007", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2006-11-22", "event": "Kolloquiumam Inst. f. Informatik", "location": "Universität Rostock, Deutschland", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/groeller-2006-ivt/", "__class": "Publication" }, { "id": "groeller-2007-fci", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Focus+Context in Illustrative Visualization", "date": "2007", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2007-06-13", "event": "Keynote talk at TPCG 07", "location": "University of Wales, Bangor, UK", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/groeller-2007-fci/", "__class": "Publication" }, { "id": "tut-vis-2007", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "IEEE Visualization Tutorial on Illustrative Display and Interaction in Visualization", "date": "2007", "abstract": "The area of illustrative visualization is concerned with developing methods to enhance the\ndepiction of scientific data based on principles founded in traditional illustration. The\nillustration community has century-long experience in adapting their techniques to human\nperceptual needs in order to generate an effective depiction which conveys the desired\nmessage. Thus, their methods can provide us with important insights into visualization\nproblems.\nIn this tutorial, the concepts in illustrative visualization are reviewed. An important aspect here\nis interaction: while traditional illustrations are commonly only presented as static images,\ncomputer-assisted visualization enables interactive exploration and manipulation of complex\nscientific data. Only by coupling illustrative visualization with effective interaction techniques\nits full potential can be exploited.\nThe tutorial starts with a general introduction into the area of illustrative visualization. The\nconcept of importance-driven visualization and its applications are presented. Then we proceed with a discussion how traditional abstraction techniques can be applied in an\ninteractive context using importance-based methods. This ranges from low-level appearance\nto smart viewpoint-dependent visibility techniques such as cutaways or exploded views.\nFurther advanced manipulation strategies are discussed in the third part. The use\ndeformations to enhance visibility of certain features while providing context or to abstract the\nstructure of a complex objects through direct interaction with the data is examined. As many\nof the presented methods rely on a separation of focus and context, i.e., the important\nstructures in the data have been identified, the tutorial discusses approaches for selecting\nobjects of interest in a three-dimensional environment using intuitive sketch-based interfaces.\nSince the effectiveness of a user-interface is heavily dependent on the previous knowledge of\nthe user, the last part of the tutorial examines the concept of layering interfaces based on\nuser expertise. Finally, the application of illustrative display and interaction techniques for\nnon-traditional modalities such as mobile devices concludes the tutorial.\n\nIEEE Visualization 2007 Tutorial Page: http://vis.computer.org/vis2007/session/tutorials.html#t7\n\nSee also previous tutorials on Illustrative Visualization:\n\nIEEE Visualization 2006 Tutorial on Illustrative Visualization for Science and Medicine\nhttp://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/\n\nEurographics 2006 Tutorial on Illustrative Visualization for Science and Medicine http://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/\n\nSIGGRAPH 2006 Course on Illustrative Visualization for Science and Medicine http://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/\n\nIEEE Visualization 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/\n\nEurographics 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/ \n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 612, "image_height": 952, "name": "tut-vis-2007-.jpg", "type": "image/jpeg", "size": 124087, "path": "Publication:tut-vis-2007", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/tut-vis-2007/tut-vis-2007-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/tut-vis-2007/tut-vis-2007-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 161, 565, 564, 694 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 612, "image_height": 952, "name": "tut-vis-2007-.jpg", "type": "image/jpeg", "size": 124087, "path": "Publication:tut-vis-2007", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/tut-vis-2007/tut-vis-2007-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/tut-vis-2007/tut-vis-2007-:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/tut-vis-2007/", "__class": "Publication" }, { "id": "bruckner-2006-ICE", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Illustrative Context-Preserving Exploration of Volume Data", "date": "2006-11", "abstract": "In volume rendering it is very difficult to simultaneously visualize\ninterior and exterior structures while preserving clear shape cues.\nHighly transparent transfer functions produce cluttered images with\nmany overlapping structures, while clipping techniques completely\nremove possibly important context information. In this paper we\npresent a new model for volume rendering, inspired by techniques\nfrom illustration. It provides a means of interactively inspecting\nthe interior of a volumetric data set in a feature-driven way which\nretains context information. The context-preserving volume rendering\nmodel uses a function of shading intensity, gradient magnitude,\ndistance to the eye point, and previously accumulated opacity to\nselectively reduce the opacity in less important data regions. It is\ncontrolled by two user-specified parameters. This new method\nrepresents an alternative to conventional clipping techniques,\nshares their easy and intuitive user control, but does not suffer\nfrom the drawback of missing context information.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2013, "image_height": 1686, "name": "bruckner-2006-ICE-image.jpg", "type": "image/jpeg", "size": 313519, "path": "Publication:bruckner-2006-ICE", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161, 160, 162, 166 ], "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "number": "6", "pages_from": "1559", "pages_to": "1569", "volume": "12", "research_areas": [ "IllVis" ], "keywords": [ "focus+context techniques", "volume rendering", "illustrative visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Hand", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2006-ICE-Hand.avi", "type": "video/x-msvideo", "size": 4198400, "path": "Publication:bruckner-2006-ICE", "preview_name": "bruckner-2006-ICE-Hand:preview.png", "preview_type": "image/jpeg", "preview_size": 35567, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Hand.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Hand:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Hand:video.mp4" }, { "description": null, "filetitle": "Head", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2006-ICE-Head.avi", "type": "video/x-msvideo", "size": 5786112, "path": "Publication:bruckner-2006-ICE", "preview_name": "bruckner-2006-ICE-Head:preview.png", "preview_type": "image/jpeg", "preview_size": 29484, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Head.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Head:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Head:video.mp4" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2013, "image_height": 1686, "name": "bruckner-2006-ICE-image.jpg", "type": "image/jpeg", "size": 313519, "path": "Publication:bruckner-2006-ICE", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bruckner-2006-ICE-Paper.pdf", "type": "application/pdf", "size": 3733897, "path": "Publication:bruckner-2006-ICE", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Stagbeetle", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2006-ICE-Stagbeetle.avi", "type": "video/x-msvideo", "size": 5568000, "path": "Publication:bruckner-2006-ICE", "preview_name": "bruckner-2006-ICE-Stagbeetle:preview.png", "preview_type": "image/jpeg", "preview_size": 12961, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Stagbeetle.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Stagbeetle:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Stagbeetle:video.mp4" }, { "description": null, "filetitle": "Tooth", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2006-ICE-Tooth.avi", "type": "video/x-msvideo", "size": 1542656, "path": "Publication:bruckner-2006-ICE", "preview_name": "bruckner-2006-ICE-Tooth:preview.png", "preview_type": "image/jpeg", "preview_size": 32207, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Tooth.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Tooth:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Tooth:video.mp4" }, { "description": null, "filetitle": "Visible", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2006-ICE-Visible.avi", "type": "video/x-msvideo", "size": 6432256, "path": "Publication:bruckner-2006-ICE", "preview_name": "bruckner-2006-ICE-Visible:preview.png", "preview_type": "image/jpeg", "preview_size": 36065, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Visible.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Visible:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Visible:video.mp4" }, { "description": null, "filetitle": "Wholebody", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2006-ICE-Wholebody.avi", "type": "video/x-msvideo", "size": 5114368, "path": "Publication:bruckner-2006-ICE", "preview_name": "bruckner-2006-ICE-Wholebody:preview.png", "preview_type": "image/jpeg", "preview_size": 7067, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Wholebody.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Wholebody:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Wholebody:video.mp4" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/", "__class": "Publication" }, { "id": "gerl-2006-vhi", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Volume Hatching for Illustrative Visualization", "date": "2006-11", "abstract": "The evolution of drawing reaches back to the origin of human cultural history.\nOver 20.000 years ago prehistoric men started to picture their environment\nin petroglyphs. From these caveman paintings to mythological depictions\nof the ancient Egyptians, from medieval illuminated manuscripts\nto Leonardo Da Vinci’s anatomical studies in the Renaissance, drawings\nserved the purpose of transforming information into a visually perceptible\nform. Maybe it is this historical tradition that gives drawings the character\nof being perceived as beautiful by a widespread public. Maybe it is the abstract\nnature of drawings that lets them be an art form commonly chosen\nfor illustration. Often the first type of imagery we deal with in our lifetime\nare hand-drawn images in children’s books. So we literally grow up with\ndrawings as a familiar medium for depiction. This could also be a cause\nfor the high acceptance drawings usually meet.\nDrawings are commonly used in a scientific and educational context to convey\ncomplex information in a comprehensible and effective manner. Illustration\ndemands abstraction for focusing attention on important features by\navoiding irrelevant detail. Abstraction is a characteristic inherent in drawing,\nas a drawing always abstracts real world. Therefore drawings serve\nthe purpose of illustration very well. In addition to that, the expressiveness\nand attraction of drawings bestow them the property of communicating information\nin a way mostly felt as enjoyable.\nSpecific applications of volume visualization require exactly these visual\nproperties. Therefore increasing effort has been spent on developing and\napplying illustrative or non-photorealistic rendering methods for volume\nvisualization in recent years. This is the field of study this thesis is devoted\nto. The described capabilities of drawing make it the art form we\nchose to mimic for the non-photorealistic volume rendering approach developed\nin this thesis. A common shading technique in drawings is hatching.\nHatching is also standard practice in schematic hand-drawn illustrations\nas known from textbooks. We implemented a system capable of generating\nhatching drawings from volume datasets. The basic idea was to\nexploit illustrative and aesthetic excellence of hatching drawings for the\ncreation of expressive representations of volumetric data.\nThe drawing in Figure 1 gives an example of an illustration where hatching\nhas been used for shading. This figure shall demonstrate that hatching is\na technique capable of conveying spatial properties of the depicted object\nin an abstract and expressive way. It is an artwork of Vesalius’ De humani\ncorporis fabrica, a textbook of human anatomy from the Renaissance.\nWe propose some possible fields of application to further explain the motivation\nto engage in generating hatching drawings from three-dimensional\ndata. The majority of these data are generated in medical scanning devices,\nand medicine offers numerous possibilities for employing volume\nhatching. One possible medical application would be to illustrate upcoming\nsurgeries to patients. Explaining a surgery with the help of a volume\nhatching rendering is perhaps more comprehensible for a layman than with\ntomography slices. It also could be more readily accepted by patients as a\nrealistic rendering, due to the visually pleasing nature of hand drawings\nand the distaste of some people on viewing inner body parts realistically.\nAnother potential field of application for volume hatching is the automated\ngeneration of educational illustrations. Figures in scientific textbooks, for\ninstance in medicine or botany, which shall convey important structural\nfeatures by a schematic representation of objects, are often drawn by hand.\nThe preferred drawing medium here is pen-and-ink, and a reduced drawing\ntechnique is used where shading is realized with a sparse and even\nhatching. Volume hatching can be employed for creating images resembling\nsuch illustrations from volumetric data. On the one hand, this offers\nthe possibility for automated generation of still images for text- or schoolbooks.\nOn the other hand, interactive illustrations could be applied in\nteaching, since they provide exploration and examining possibilities while\ndepicting the objects in a familiar illustrative style.\nThis thesis is organized as follows. First, we give an overview about research\ndone in fields related to this thesis in Chapter 2. In Chapter 3 we\npresent the algorithms we developed for rendering hatching drawings from\nvolume data. This includes the creation of contour drawings, curvature\nestimation and generation of hatching strokes. We continue with shortly\noutlining the concept of implementing these algorithms in Chapter 4. In\nChapter 5 we present and discuss result images, revealing advantages and\nlimitations of our approach. We summarize the content of this thesis in\nChapter 6. Finally, we draw a conclusion on the results of this thesis and\npropose ideas for further enhancing our work in Chapter 7.", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "jpg", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 262, "image_height": 402, "name": "gerl-2006-vhi-jpg.jpg", "type": "image/jpeg", "size": 41458, "path": "Publication:gerl-2006-vhi", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/gerl-2006-vhi/gerl-2006-vhi-jpg.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/gerl-2006-vhi/gerl-2006-vhi-jpg:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 649 ], "matrikelnr": "0000000", "supervisor": [ 786, 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "image", "filetitle": "jpg", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 262, "image_height": 402, "name": "gerl-2006-vhi-jpg.jpg", "type": "image/jpeg", "size": 41458, "path": "Publication:gerl-2006-vhi", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/gerl-2006-vhi/gerl-2006-vhi-jpg.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/gerl-2006-vhi/gerl-2006-vhi-jpg:thumb{{size}}.png" }, { "description": "paper", "filetitle": "pdf", "main_file": true, "use_in_gallery": false, "access": "public", "name": "gerl-2006-vhi-pdf.pdf", "type": "application/pdf", "size": 6139517, "path": "Publication:gerl-2006-vhi", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/gerl-2006-vhi/gerl-2006-vhi-pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/gerl-2006-vhi/gerl-2006-vhi-pdf:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/gerl-2006-vhi/", "__class": "Publication" }, { "id": "tut-eg-2006", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Eurographics Tutorial on Illustrative Visualization for Science and Medicine", "date": "2006", "abstract": "This tutorial presents recent and important research and developments from academia in illustrative, nonphotorealistic rendering (NPR) focusing on its use for medical/science subjects. Lectures are organized within\na comprehensive illustration framework, focusing on three main components:\n\n(a) Traditional and computerized illustration techniques and principles for Technical and Science Subjects,\n\n(b) Evaluation and Practical Use,\n\n(c) Viewing & Rendering. \n\nPresentation of topics is balanced between descriptions of traditional methods and practices, practical implementation motivated approaches and evaluation, and detailed descriptions and analysis of NPR techniques and\nalgorithms.\nWe begin with a lecture presenting an overview of traditional illustration in technical, science, and medical subjects\nfollowed by a description of the main components in a NPR pipeline for developing systems to help technical\nand science illustrators with their work. The tutorial progresses with an overview of the NPR used in illustration\nas well as approaches to evaluate their use and effectiveness. Following lectures describe the latest techniques in computerized illustration algorithms for scientific and medical data for both surface and volumetric data, covering\ntechniques from silhouette enhancement to stippling, to cut-away viewing, labeling, and focus+context rendering.\nEach of the lectures also discusses practical issues in making these techniques interactive and their use for different application domains. Tutorial concludes with discussion on specific medical case studies where the illustrative visualization has been effectively applied.\n\nEurographics 2006 tutorial page:\nhttp://www.cg.tuwien.ac.at/events/EG06/program-t1022.php\n\nSee also previous tutorials on Illustrative Visualization:\n\nSIGGRAPH 2006 Course on Illustrative Visualization for Science and Medicine\nhttp://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/\n\nIEEE Visualization 2005 Tutorial on Illustrative Visualization\nhttp://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/\n\nEurographics 2005 Tutorial on Illustrative Visualization\nhttp://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 281, "image_height": 300, "name": "tut-eg-2006-.png", "type": "image/png", "size": 54466, "path": "Publication:tut-eg-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 565, 564, 563, 596, 631, 633 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 281, "image_height": 300, "name": "tut-eg-2006-.png", "type": "image/png", "size": 54466, "path": "Publication:tut-eg-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-:thumb{{size}}.png" }, { "description": "Smart Visibility in Visualization and Importance-Driven Retargeting", "filetitle": "Slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "tut-eg-2006-Slides.zip", "type": "application/x-zip", "size": 54741002, "path": "Publication:tut-eg-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-Slides.zip", "thumb_image_sizes": [] }, { "description": "Overview and complete notes to each contribution", "filetitle": "Tutorial Notes", "main_file": true, "use_in_gallery": false, "access": "public", "name": "tut-eg-2006-Tutorial Notes.pdf", "type": "application/pdf", "size": 9880748, "path": "Publication:tut-eg-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-Tutorial Notes.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-Tutorial Notes:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/", "__class": "Publication" }, { "id": "tut-siggraph-2006", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "SIGGRAPH Course Illustrative Visualization for Medicine and Science", "date": "2006", "abstract": "Research and recent development in computer-generated illustration techniques within non-photorealistic rendering. The course concentrates specifically on illustration methods for computer-generated technical, scientific, medical, and interactive illustrations of both surface and volumetric data. It also presents the perspective of two medical illustrators on computerized illustration.\n\nACM SIGGRAPH 2006 course page: http://www.siggraph.org/s2006/main.php?f=conference&p=courses&s=6\n\nFurther Information:\nhttp://pages.cpsc.ucalgary.ca/~mario/webpage/publ/courses.htm\n\nSee also previous tutorials on Illustrative Visualization:\n\nIEEE Visualization 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/\n\nEurographics 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/ ", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 565, 564, 596, 171, 161, 631, 566, 632 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "Overview on schedule, talks, and speakers", "filetitle": "Course Notes", "main_file": false, "use_in_gallery": false, "access": "public", "name": "tut-siggraph-2006-Course Notes.pdf", "type": "application/pdf", "size": 163504, "path": "Publication:tut-siggraph-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/tut-siggraph-2006-Course Notes.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/tut-siggraph-2006-Course Notes:thumb{{size}}.png" }, { "description": "Smart Visibility in Visualization - Ivan Viola", "filetitle": "Slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "tut-siggraph-2006-Slides.zip", "type": "application/x-zip", "size": 77291824, "path": "Publication:tut-siggraph-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/tut-siggraph-2006-Slides.zip", "thumb_image_sizes": [] } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/", "__class": "Publication" }, { "id": "tut-vis-2006", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "IEEE Visualization Tutorial on Illustrative Visualization for Science and Medicine", "date": "2006", "abstract": "This tutorial presents recent research and developments from academia in illustrative visualization focusing on its use for medical/science subjects. Lectures are organized within a\ncomprehensive illustration framework, focusing on three main components:\n\n• Traditional and computerized illustration techniques and principles for technical and\nscientific subjects\n\n• Evaluation and practical use\n\n• Viewing & rendering\n\nPresentation of topics is balanced between descriptions of traditional methods and practices, practical implementation motivated approaches and evaluation, and detailed descriptions and analysis of illustrative techniques and algorithms. We begin in the morning with a lecture presenting an overview of traditional illustration for\ntechnical, scientific, and medical subjects. This is followed by a description of the main components in an illustrative visualization pipeline for developing systems to assist technical\nand scientific illustrators. The tutorial progresses with an overview of the techniques used in illustration as well as approaches to evaluate their use and effectiveness. The morning concludes with the start of the “viewing and rendering” section. The three lectures in this section describe the latest approaches in computerized illustration algorithms for scientific and medical data for both surface and volumetric data, covering techniques from silhouette enhancement to stippling, to cut-away viewing, labeling, and focus+context rendering. Each of the lectures also discusses practical issues in making these techniques interactive and their use for different application domains. The tutorial includes a trained medical illustrator discussing the principles/caveats/issues in using illustration techniques in real-world medical applications. This lecture will also describe an evaluation, from an illustrator’s point of view, of the use and quality of the techniques presented throughout the day. The tutorial concludes with discussion on specific medical case studies where illustrative visualization has been effectively applied.\n\nIEEE Visualization 2006 Tutorial Page:\nhttp://vis.computer.org/vis2006/session/tutorials.html#t3\n\nSee also previous tutorials on Illustrative Visualization:\n\nEurographics 2006 Tutorial on Illustrative Visualization for Science and Medicine http://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/\n\nSIGGRAPH 2006 Course on Illustrative Visualization for Science and Medicine http://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/\n\nIEEE Visualization 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/\n\nEurographics 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/ ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 250, "image_height": 260, "name": "tut-vis-2006-Image.png", "type": "image/png", "size": 92894, "path": "Publication:tut-vis-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/tut-vis-2006-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/tut-vis-2006-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 565, 564, 631, 596, 161, 563, 566, 632, 633 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 250, "image_height": 260, "name": "tut-vis-2006-Image.png", "type": "image/png", "size": 92894, "path": "Publication:tut-vis-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/tut-vis-2006-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/tut-vis-2006-Image:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/", "__class": "Publication" }, { "id": "bruckner-2005-ICV", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Illustrative Context-Preserving Volume Rendering", "date": "2005-05", "abstract": "In volume rendering it is very difficult to simultaneously visualize interior and exterior structures while preserving clear shape cues. Very transparent transfer functions produce cluttered images with many overlapping structures, while clipping techniques completely remove possibly important context information. In this paper we present a new model for volume rendering, inspired by techniques from illustration that provides a means of interactively inspecting the interior of a volumetric data set in a feature-driven way which retains context information. The context-preserving volume rendering model uses a function of shading intensity, gradient magnitude, distance to the eye point, and previously accumulated opacity to selectively reduce the opacity in less important data regions. It is controlled by two user-specified parameters. This new method represents an alternative to conventional clipping techniques, shares their easy and intuitive user control, but does not suffer from the drawback of missing context information. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "Context-Preserving Volume Rendering of a human hand", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2048, "image_height": 2048, "name": "bruckner-2005-ICV-image.jpg", "type": "image/jpeg", "size": 346710, "path": "Publication:bruckner-2005-ICV", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161, 160, 162, 166 ], "booktitle": "Proceedings of EuroVis 2005", "lecturer": [ 161 ], "pages_from": "69", "pages_to": "76", "research_areas": [ "IllVis" ], "keywords": [ "non-photorealistic techniques", "focus+context techniques", "volume rendering" ], "weblinks": [], "files": [ { "description": "Context-Preserving Volume Rendering of a human hand", "filetitle": "Hand - DivX", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2005-ICV-Hand - DivX.avi", "type": "video/x-msvideo", "size": 2492416, "path": "Publication:bruckner-2005-ICV", "preview_name": "bruckner-2005-ICV-Hand - DivX:preview.png", "preview_type": "image/png", "preview_size": 16073, "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Hand - DivX.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Hand - DivX:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Hand - DivX:video.mp4" }, { "description": "Context-Preserving Volume Rendering of a human hand", "filetitle": "Hand - Indeo", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2005-ICV-Hand - Indeo.avi", "type": "video/x-msvideo", "size": 44419072, "path": "Publication:bruckner-2005-ICV", "preview_name": "bruckner-2005-ICV-Hand - Indeo:preview.png", "preview_type": "image/png", "preview_size": 16059, "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Hand - Indeo.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Hand - Indeo:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Hand - Indeo:video.mp4" }, { "description": "Context-Preserving Volume Rendering of a human head", "filetitle": "Head - DivX", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2005-ICV-Head - DivX.avi", "type": "video/x-msvideo", "size": 3397120, "path": "Publication:bruckner-2005-ICV", "preview_name": "bruckner-2005-ICV-Head - DivX:preview.png", "preview_type": "image/png", "preview_size": 11598, "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Head - DivX.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Head - DivX:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Head - DivX:video.mp4" }, { "description": "Context-Preserving Volume Rendering of a human head", "filetitle": "Head - Indeo", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2005-ICV-Head - Indeo.avi", "type": "video/x-msvideo", "size": 33721856, "path": "Publication:bruckner-2005-ICV", "preview_name": "bruckner-2005-ICV-Head - Indeo:preview.png", "preview_type": "image/png", "preview_size": 11647, "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Head - Indeo.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Head - Indeo:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Head - Indeo:video.mp4" }, { "description": "Context-Preserving Volume Rendering of a human hand", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2048, "image_height": 2048, "name": "bruckner-2005-ICV-image.jpg", "type": "image/jpeg", "size": 346710, "path": "Publication:bruckner-2005-ICV", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-image:thumb{{size}}.png" }, { "description": "Paper", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bruckner-2005-ICV-Paper.pdf", "type": "application/pdf", "size": 4121772, "path": "Publication:bruckner-2005-ICV", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Paper:thumb{{size}}.png" }, { "description": "powerpoint slides of EuroVis 2005 presentation", "filetitle": "Slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "bruckner-2005-ICV-Slides.zip", "type": "application/x-zip", "size": 56685751, "path": "Publication:bruckner-2005-ICV", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Slides.zip", "thumb_image_sizes": [] }, { "description": "comparison of Context-Preserving Volume Rendering with other techniques", "filetitle": "Tooth - DivX", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2005-ICV-Tooth - DivX.avi", "type": "video/x-msvideo", "size": 892928, "path": "Publication:bruckner-2005-ICV", "preview_name": "bruckner-2005-ICV-Tooth - DivX:preview.png", "preview_type": "image/png", "preview_size": 13861, "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Tooth - DivX.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Tooth - DivX:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Tooth - DivX:video.mp4" }, { "description": "comparison of Context-Preserving Volume Rendering with other techniques", "filetitle": "Tooth - Indeo", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2005-ICV-Tooth - Indeo.avi", "type": "video/x-msvideo", "size": 17240576, "path": "Publication:bruckner-2005-ICV", "preview_name": "bruckner-2005-ICV-Tooth - Indeo:preview.png", "preview_type": "image/png", "preview_size": 13603, "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Tooth - Indeo.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Tooth - Indeo:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Tooth - Indeo:video.mp4" }, { "description": "Context-Preserving Volume Rendering of the Visible Human dataset", "filetitle": "Visible Human - DivX", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2005-ICV-Visible Human - DivX.avi", "type": "video/x-msvideo", "size": 3676160, "path": "Publication:bruckner-2005-ICV", "preview_name": "bruckner-2005-ICV-Visible Human - DivX:preview.png", "preview_type": "image/png", "preview_size": 17703, "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Visible Human - DivX.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Visible Human - DivX:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Visible Human - DivX:video.mp4" }, { "description": "Context-Preserving Volume Rendering of the Visible Human dataset", "filetitle": "Visible Human - Indeo", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2005-ICV-Visible Human - Indeo.avi", "type": "video/x-msvideo", "size": 67943936, "path": "Publication:bruckner-2005-ICV", "preview_name": "bruckner-2005-ICV-Visible Human - Indeo:preview.png", "preview_type": "image/png", "preview_size": 17814, "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Visible Human - Indeo.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Visible Human - Indeo:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Visible Human - Indeo:video.mp4" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/", "__class": "Publication" }, { "id": "eg-tut2005-iv", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Eurographics Tutorial on Illustrative Visualization", "date": "2005", "abstract": "The tutorial presents state-of-the-art visualization techniques inspired by traditional technical and medical illustrations.\nSuch techniques exploit the perception of the human visual system and provide effective visual abstractions\nto make the visualization clearly understandable. Visual emphasis and abstraction has been used for expressive\npresentation from prehistoric paintings to nowadays scientific and medical illustrations. Many of the expressive\ntechniques used in art are adopted in computer graphics, and are denoted as illustrative or non-photorealistic\nrendering. Different stroke techniques, or brush properties express a particular level of abstraction. Feature emphasis\nor feature suppression is achieved by combining different abstraction levels in illustrative rendering.\nChallenges in visualization research are very large data visualization as well as multi-dimensional data visualization.\nTo effectively convey the most important visual information there is a significant need for visual abstraction.\nFor less relevant information the dedicated image space is reduced to enhance more prominent features. The discussed techniques in the context of scientific visualization are based on iso-surfaces and volume rendering. Apart\nfrom visual abstraction, i.e., illustrative representation, the visibility of prominent features can be achieved by illustrative visualization techniques such as cut-away views or ghosted views. The structures that occlude the most prominent information are suppressed in order to clearly see more interesting parts. Another smart way to provide information on the data is using exploded views or other types of deformation. Illustrative visualization is demonstrated via application-specific tasks in medical visualization. An important aspect\nas compared to traditional medical illustrations is the interactivity and real-time manipulation of the acquired\npatient data. This can be very useful in anatomy education. Another application area is surgical planning which\nis demonstrated with two case studies: neck dissection and liver surgery planning.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 81, "name": "eg-tut2005-iv-image.jpg", "type": "image/jpeg", "size": 4401, "path": "Publication:eg-tut2005-iv", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 166, 231, 226, 563, 564 ], "booktitle": "Tutorial Notes on Illustrative Visualization", "publisher": "Eurographics", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 81, "name": "eg-tut2005-iv-image.jpg", "type": "image/jpeg", "size": 4401, "path": "Publication:eg-tut2005-iv", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Tutorial Notes", "main_file": true, "use_in_gallery": false, "access": "public", "name": "eg-tut2005-iv-Tutorial Notes.pdf", "type": "application/pdf", "size": 18410027, "path": "Publication:eg-tut2005-iv", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-Tutorial Notes.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-Tutorial Notes:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/", "__class": "Publication" }, { "id": "Viola-vistutillustrativevis", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "IEEE Visualization Tutorial on Illustrative Visualization", "date": "2005", "abstract": "The tutorial presents state-of-the-art visualization techniques inspired\nby traditional technical and medical illustrations. Such techniques\nexploit the perception of the human visual system and provide effective visual abstractions to make the visualization clearly understandable. Visual emphasis and abstraction has been used for expressive presentation from prehistoric paintings to nowadays scientific and medical illustrations. Many of the expressive techniques\nused in art are adopted in computer graphics, and are denoted as\nillustrative or non-photorealistic rendering. Different stroke techniques,\nor brush properties express a particular level of abstraction. Feature emphasis or feature suppression is achieved by combining different abstraction levels in illustrative rendering. Challenges in visualization research are very large data visualization as well as multi-dimensional data visualization. To effectively convey the most important visual information there is a significant need for visual abstraction. For less relevant information the dedicated image space is reduced to enhance more prominent features. The discussed techniques in the context of scientic visualization are based on iso-surfaces and volume rendering. Apart\nfrom visual abstraction, i.e., illustrative representation, the visibility of prominent features can be achieved by illustrative visualization\ntechniques such as cut-away views or ghosted views. The structures that occlude the most prominent information are suppressed in order to clearly see more interesting parts. A different smart way to provide information on the data is using exploded views or other\ntypes of deformation. Furthermore intuitive feature classification via 3D painting and manipulation with the classified data including label placement is presented. Discussed non-photorealistic and illustrative techniques from visualization and graphics are shown from the perspective as tools for illustrators from medicine, botany, archeology, and zoology. The limitations of existing NPR systems for science illustration are highlighted, and proposals for possible new directions are made.\nIllustrative visualization is demonstrated via application-specific tasks in medical visualization. An important aspect as compared to traditional medical illustrations is the interactivity and real-time manipulation of the acquired patient data. This can be very useful in anatomy education. Another application area is surgical planning which is demonstrated with two case studies: neck dissection and\nliver surgery planning.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 544, "image_height": 304, "name": "Viola-vistutillustrativevis-image.jpg", "type": "image/jpeg", "size": 63961, "path": "Publication:Viola-vistutillustrativevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 166, 231, 226, 563, 564, 565, 566 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 544, "image_height": 304, "name": "Viola-vistutillustrativevis-image.jpg", "type": "image/jpeg", "size": 63961, "path": "Publication:Viola-vistutillustrativevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Tutorial Notes HQ Version.pdf", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Viola-vistutillustrativevis-Tutorial Notes HQ Version.pdf.pdf", "type": "application/pdf", "size": 87682204, "path": "Publication:Viola-vistutillustrativevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-Tutorial Notes HQ Version.pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-Tutorial Notes HQ Version.pdf:thumb{{size}}.png" }, { "description": null, "filetitle": "Tutorial Notes Small Version", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola-vistutillustrativevis-Tutorial Notes Small Version.pdf", "type": "application/pdf", "size": 29076997, "path": "Publication:Viola-vistutillustrativevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-Tutorial Notes Small Version.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-Tutorial Notes Small Version:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/", "__class": "Publication" }, { "id": "Groeller_2016_I7", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Computing for the Analysis of Complex Systems", "date": null, "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2016-12", "date_to": "2016-12", "event": "Invited Talk at the Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST)", "location": "Invited Talk at the Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST)", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/Groeller_2016_I7/", "__class": "Publication" }, { "id": "Thomas-2018", "type_id": "runmasterthesis", "tu_id": null, "repositum_id": null, "title": "PolicyMap: A Dynamic Map for Line-Up Policy in Amusement Parks", "date": null, "abstract": "The more time is spent in queues lining up for attractions in amusement parks, the less\nfunny the experience and the whole day in the park becomes. This project aims to\ninvestigate different factors that influence the waiting time and develop a tool that helps\nusers to efficiently plan their stay in an amusement park. The tool will consist of three\ndifferent parts. A dynamic map shall help users to get an overview of the current waiting\ntimes and the location of respective attractions in the park. A routing algorithm shall be\ndeveloped to suggest an appropriate route through the park while considering the local\noptimum for each visitor and the global optimum for the whole park. Finally, a 3D navigation\nshall be implemented to help users to find their way to the desired attraction easier than by\nusing conventional paper maps.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1367 ], "date_start": "2018-05-24", "matrikelnr": "01327052", "supervisor": [ 1464 ], "research_areas": [ "IllVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/Thomas-2018/", "__class": "Publication" } ]