[ { "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": "Pezenka-2016-MT", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "BrainXPlore - Decision finding in Brain Biopsy Planning", "date": "2017-12", "abstract": "Neurosurgeons make decisions based on expert knowledge that takes factors such as\nsafety margins, the avoidance of risk structures, trajectory length and trajectory angle into consideration. While some of those factors are mandatory, others can be optimized in order to obtain the best possible trajectory under the given circumstances. Through comparison with the actually chosen trajectories from real biopsies and qualitative interviews with domain experts, we identified important rules for trajectory planning. In this thesis, we present BrainXplore, an interactive visual analysis tool for aiding\nneurosurgeons in planning brain biopsies. BrainXplore is an extendable Biopsy\nPlanning framework that incorporates those rules while at the same time leaving full\nflexibility for their customization and adding of new structures at risk. Automatically computed candidate trajectories can be incrementally refined in an interactive manner until an optimal trajectory is found. We employ a spatial index server as part of our system that allows us to access distance information on an unlimited number of risk structures at arbitrary resolution. Furthermore, we implemented InfoVis techniques such as Parallel Coordinates and risk signature charts to drive the decision process. As a case study, BrainXPlore offers a variety of information visualization modalities to present multivariate data in different ways. We evaluated BrainXPlore on a real dataset and accomplished acceptable results. The participating neurosurgeon gave us the feedback that BrainXPlore can decrease the time needed for biopsy planning and aid novice users in their decision making process.", "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": 197, "name": "Pezenka-2016-MT-image.JPG", "type": "image/jpeg", "size": 17214, "path": "Publication:Pezenka-2016-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Pezenka-2016-MT/Pezenka-2016-MT-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Pezenka-2016-MT/Pezenka-2016-MT-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1031 ], "date_end": "2017-11-28", "date_start": "2016", "matrikelnr": "0625948 ", "supervisor": [ 231, 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 197, "name": "Pezenka-2016-MT-image.JPG", "type": "image/jpeg", "size": 17214, "path": "Publication:Pezenka-2016-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Pezenka-2016-MT/Pezenka-2016-MT-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Pezenka-2016-MT/Pezenka-2016-MT-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Pezenka-2016-MT-Master Thesis.pdf", "type": "application/pdf", "size": 20385403, "path": "Publication:Pezenka-2016-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Pezenka-2016-MT/Pezenka-2016-MT-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Pezenka-2016-MT/Pezenka-2016-MT-Master Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Pezenka-2016-MT/", "__class": "Publication" }, { "id": "steiner_2016_isad", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Integrated Structural-Architectural Design for Interactive Planning", "date": "2017-12", "abstract": "Traditionally, building floorplans are designed by architects with their usability, functionality, and architectural aesthetics in mind, however, the structural properties of the distribution of load-bearing walls and columns are usually not taken into account at this stage. In this paper we propose a novel approach for the design of architectural floorplans by integrating structural layout analysis directly into the planning process. In order to achieve this, we introduce a planning tool which interactively enforces checks for structural stability of the current design, and which on demand proposes how to stabilize it if necessary. Technically, our solution contains an interactive architectural modeling framework as well as a constrained optimization module where both are based on respective architectural rules. Using our tool, an architect can predict already in a very early planning stage which designs are structurally sound such that later changes due to stability reasons can be prevented. We compare manually computed solutions with optimal results of our proposed automated design process in order to show how much our proposed system can help architects to improve the process of laying out structural models optimally.", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1500, "image_height": 1000, "preview_image_width": 1500, "preview_image_height": 1000, "name": "steiner_2016_isad-image.png", "type": "image/png", "size": 392167, "path": "Publication:steiner_2016_isad", "preview_name": "steiner_2016_isad-image:preview.png", "preview_type": "image/png", "preview_size": 392167, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/steiner_2016_isad-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/steiner_2016_isad-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1120, 1375, 1376, 193, 844 ], "doi": "10.1111/cgf.12996", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1120 ], "number": "8", "pages_from": "80", "pages_to": "94", "volume": "36", "research_areas": [ "Geometry", "Modeling" ], "keywords": [], "weblinks": [ { "href": "http://dx.doi.org/10.1111/cgf.12996", "caption": "doi", "description": null, "main_file": 0 } ], "files": [ { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1500, "image_height": 1000, "preview_image_width": 1500, "preview_image_height": 1000, "name": "steiner_2016_isad-image.png", "type": "image/png", "size": 392167, "path": "Publication:steiner_2016_isad", "preview_name": "steiner_2016_isad-image:preview.png", "preview_type": "image/png", "preview_size": 392167, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/steiner_2016_isad-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/steiner_2016_isad-image:thumb{{size}}.png" }, { "description": null, "filetitle": "preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "steiner_2016_isad-preprint.pdf", "type": "application/pdf", "size": 5914360, "path": "Publication:steiner_2016_isad", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/steiner_2016_isad-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/steiner_2016_isad-preprint:thumb{{size}}.png" } ], "projects_workgroups": [ "PAMINA", "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/", "__class": "Publication" }, { "id": "sbert-2017-sa_course_0023", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Information Theory In Visualization", "date": "2017-11-30", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 207, 1527, 171, 1083, 1512, 608 ], "date_from": "2017", "date_to": "2017", "event": "SIGGRAPH Asia 2017 Course 0023", "location": "Bangkok, Thailand", "research_areas": [], "keywords": [], "weblinks": [ { "href": "https://sa2017.siggraph.org/attendees/courses?view=session&sid=9", "caption": "SIGGRAPH Asia 2017 Course Information", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "course notes", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sbert-2017-sa_course_0023-course notes.pdf", "type": "application/pdf", "size": 10503939, "path": "Publication:sbert-2017-sa_course_0023", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sbert-2017-sa_course_0023/sbert-2017-sa_course_0023-course notes.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sbert-2017-sa_course_0023/sbert-2017-sa_course_0023-course notes:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sbert-2017-sa_course_0023/", "__class": "Publication" }, { "id": "unger_2017", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Evaluation of Machine Learning Frameworks on Tuberculosis Classification of Chest Radiographs", "date": "2017-11-28", "abstract": "In this thesis different state-of-the-art machine learning frameworks were implemented and evaluated on chest radiographs to classify them into tuberculotic or healthy radiographs.\nTraditional explicit feature engineering was performed, as well as different deep learning approaches were applied. For the deep learning experiments different publicly available architectures were compared in two different tasks. The first task with deep learning was to use a Convolutional Neural Network, already trained on a different task, to extract\nfeatures of the chest radiographs. These features were then classified separately. The second experiment was to use a Convolutional Neural Network, again pretrained on a different task, and train this network carefully again on the chest radiographs. The results of the different frameworks were summarized, evaluated and presented in tables.", "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": 93, "name": "unger_2017-image.JPG", "type": "image/jpeg", "size": 11457, "path": "Publication:unger_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/unger_2017/unger_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/unger_2017/unger_2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1530 ], "date_end": "2017-11-28", "date_start": "2017-06-10", "matrikelnr": "01325652", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "unger_2017-Bachelor Thesis.PDF", "type": "application/pdf", "size": 3705785, "path": "Publication:unger_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/unger_2017/unger_2017-Bachelor Thesis.PDF", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/unger_2017/unger_2017-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 192, "image_height": 93, "name": "unger_2017-image.JPG", "type": "image/jpeg", "size": 11457, "path": "Publication:unger_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/unger_2017/unger_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/unger_2017/unger_2017-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/unger_2017/", "__class": "Publication" }, { "id": "ROEGNER-2014-TUI", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Temporal Upsampling for Image Sequences Using a Non-Local Means Algorithm", "date": "2017-11-17", "abstract": "Computer-generated video sequences with a frame-rate higher than the usual 24 images per second, such as 48 or 60 frames per second, have become more popular in the respective industries, due to more visual fidelity. This, however, results in more computational costs for the same length of the video sequence.\n\nOne solution to this problem is the so-called frame-rate upsampling, which makes use of temporal and spatial coherence to approximate new frames and therefore saves computational time. Several methods have been published in this field, for the purposes of real-time rendering as well as for offline rendering algorithms. \n\nIn this thesis, two new algorithms for fame-rate upsampling are introduced. Those are targeted at high-quality computer-generated images that feature various globalillumination effects. The two new algorithms make use of a video denoising method - the non-local means algorithm - to find the appropriate pixel colors for the frame, that has to be upsampled. To find the corresponding pixels in another frame, the methods of this thesis either use existing color information or require additional data, which can be extracted from any global-illumination algorithm with minimal further computations. The proposed methods are aimed at handling reflections and refractions in the scene\nbetter than previous work.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 345, "image_height": 195, "name": "ROEGNER-2014-TUI-image.jpg", "type": "image/jpeg", "size": 7374, "path": "Publication:ROEGNER-2014-TUI", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/ROEGNER-2014-TUI-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/ROEGNER-2014-TUI-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 875 ], "date_end": "2017-11-17", "date_start": "2014-06-03", "diploma_examina": "2017-11-17", "matrikelnr": "0825045", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "global illumination", "frame-rate upsampling", "temporal coherence" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 345, "image_height": 195, "name": "ROEGNER-2014-TUI-image.jpg", "type": "image/jpeg", "size": 7374, "path": "Publication:ROEGNER-2014-TUI", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/ROEGNER-2014-TUI-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/ROEGNER-2014-TUI-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ROEGNER-2014-TUI-poster.pdf", "type": "application/pdf", "size": 4622449, "path": "Publication:ROEGNER-2014-TUI", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/ROEGNER-2014-TUI-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/ROEGNER-2014-TUI-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "ROEGNER-2014-TUI-thesis.pdf", "type": "application/pdf", "size": 2537027, "path": "Publication:ROEGNER-2014-TUI", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/ROEGNER-2014-TUI-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/ROEGNER-2014-TUI-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/", "__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": "CELAREK-2017-QCL", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Quantifying the Convergence of Light-Transport Algorithms", "date": "2017-11-14", "abstract": "This work aims at improving methods for measuring the error of unbiased, physically\nbased light-transport algorithms. State-of-the-art papers show algorithmic improvements\nvia error measures like Mean Square Error (MSE) or visual comparison of equal-time\nrenderings. These methods are unreliable since outliers can cause MSE variance and\nvisual comparison is inherently subjective.\nWe introduce a simple proxy algorithm: pure algorithms produce one image corresponding\nto the computation budget N. The proxy, on the other hand, averages N independent\nimages with a computation budget of 1. The proxy algorithm fulfils the preconditions\nfor the Central Limit Theorem (CLT), and hence, we know that its convergence rate is\n(1/N). Since this same convergence rate applies for all methods executed using the\nproxy algorithm, comparisons using variance- or standard-deviation-per-pixel images are\npossible. These per-pixel error images can be routinely computed and allow comparing\nthe render quality of different lighting effects. Additionally, the average of pixel variances\nis more robust against outliers compared to the traditional MSE or comparable metrics\ncomputed for the pure algorithm.\nWe further propose the Error Spectrum Ensemble (ESE) as a new tool for evaluating lighttransport\nalgorithms. It summarizes expected error and outliers over spatial frequencies.\nESE is generated using the data from the proxy algorithm: N error images are computed\nusing a reference, transformed into Fourier power spectra and compressed using radial\naverages. The descriptor is a summary of those radial averages.\nIn the results, we show that standard-deviation images, short equal-time renderings, ESE\nand expected MSE are valuable tools for assessing light-transport algorithms.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 594, "image_height": 372, "name": "CELAREK-2017-QCL-image.png", "type": "image/png", "size": 39262, "path": "Publication:CELAREK-2017-QCL", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1013 ], "date_end": "2017-11-14", "date_start": "2016-01-15", "diploma_examina": "2017-11-14", "matrikelnr": "0926881", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "error metric", "global illumination" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 594, "image_height": 372, "name": "CELAREK-2017-QCL-image.png", "type": "image/png", "size": 39262, "path": "Publication:CELAREK-2017-QCL", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "CELAREK-2017-QCL-poster.pdf", "type": "application/pdf", "size": 392985, "path": "Publication:CELAREK-2017-QCL", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "CELAREK-2017-QCL-thesis.pdf", "type": "application/pdf", "size": 16734560, "path": "Publication:CELAREK-2017-QCL", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "OpenData" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/", "__class": "Publication" }, { "id": "Rainer_2017", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Shape Detection in Out-of-Core Point Clouds for Assisted User Interactions", "date": "2017-11", "abstract": "This thesis presents a semi-automated method for shape detection in out-of-core point clouds. Rather than performing shape detection on the entire point cloud at once, a user-controlled interaction determines the region that is to be segmented next. By keeping the size of the region and the number of points small, the algorithm produces meaningful results within a fraction of a second. Thus, the user is presented immediately with\nfeedback on the local geometry.\nAs modern point clouds can contain billions of points and the memory capacity of\nconsumer PCs is usually insufficient to hold all points in memory at the same time, a level-of-detail data structure is used to store the point cloud on the hard disc, and data is loaded into memory only on use. This data structure partitions the point cloud into small regions, each containing around 5000 points, that are used for rendering and shape detection. Interacting with point clouds is a particularly demanding task. A precise selection of a\nregion of interest, using the two-dimensional lasso interaction, often needs multiple view changes and subsequent improvements. This thesis proposes improvements to the lasso interaction, by performing selection only on the set of points that are approximated by a\ndetected shape. Thus, the selection of undesired points in the fore- and background is reduced. Point picking is improved as well by the use of a detected shape, such that only points that are approximated by this shape are pick-able.\nThe result of this thesis is an application that allows the user to view point clouds with millions of points. It also provides a novel interaction technique for quick local shape detection as well as shape-assisted interactions that utilize this local semantic information to improve the user’s workflow.", "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": 300, "name": "Rainer_2017-image.JPG", "type": "image/jpeg", "size": 51988, "path": "Publication:Rainer_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1539 ], "date_end": "2017-10-17", "date_start": "2016-10-10", "diploma_examina": "2018-01-09", "matrikelnr": "0828592", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 481, "image_height": 300, "name": "Rainer_2017-image.JPG", "type": "image/jpeg", "size": 51988, "path": "Publication:Rainer_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Rainer_2017-Master thesis.pdf", "type": "application/pdf", "size": 9242735, "path": "Publication:Rainer_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-Master thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Rainer_2017-poster.pdf", "type": "application/pdf", "size": 4630728, "path": "Publication:Rainer_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/", "__class": "Publication" }, { "id": "waldin-2017-thesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Using and Adapting to Limits of Human Perception in Visualization", "date": "2017-11", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1461 ], "duration": "3 years", "reviewer_1": [ 1526 ], "reviewer_2": [ 1313 ], "rigorosum": "2017-11-06", "supervisor": [ 171 ], "research_areas": [ "Perception" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "waldin-2017-thesis-thesis.pdf", "type": "application/pdf", "size": 3029725, "path": "Publication:waldin-2017-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldin-2017-thesis/waldin-2017-thesis-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldin-2017-thesis/waldin-2017-thesis-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldin-2017-thesis/", "__class": "Publication" }, { "id": "Groeller-2017-ARTORW", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "A Random Talk on Random Walks", "date": "2017-10-20", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "event": "10 Years Bergen VisGroup Celebration", "location": "University of Bergen, Norway", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Groeller-2017-ARTORW/", "__class": "Publication" }, { "id": "KREUZER-2017-PBF", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Using Perception-Based Filtering to Hide Shadow Artifacts", "date": "2017-10-05", "abstract": "Shadows are an indispensable aid for understanding spatial relations of objects in\nnatural scenes, which is why they are very important for real-time rendering applications.\nCombining filtering techniques with shadow mapping is a common tool to simulate\nvisually-pleasing shadows in interactive applications. A positive effect of such approaches\nis that the filtering blurs aliasing artifacts caused by sampling the discretized geometric\ndata stored in the shadow map, thereby improving the visual quality of the shadow.\nThe goal of this thesis is to exploit common filtering algorithms, in order to find a\nfunction of blur radius and shadow-map sampling frequency, which allows for optimized\ncomputational performance while mostly preserving the visual quality of the shadow.\nIn the course of this work, we investigate how shadow artifacts arise and how to hide\nthem. We set up and execute a user study to find the optimal relation between the\nshadow-map sampling frequency and the filter radius. From the results of the user study,\nwe derive a formula and develop an algorithm that can be incorporated into existing\nshadow-mapping algorithms. We evaluate our results by applying the algorithm to a\ncustom-made rendering framework and observe an increase in processing speeds.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 542, "image_height": 454, "name": "KREUZER-2017-PBF-image.png", "type": "image/png", "size": 112349, "path": "Publication:KREUZER-2017-PBF", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/KREUZER-2017-PBF-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/KREUZER-2017-PBF-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1046 ], "date_end": "2017-10-05", "date_start": "2016-06-01", "diploma_examina": "2017-10-05", "matrikelnr": "0827433", "supervisor": [ 193, 779 ], "research_areas": [ "Perception", "Rendering" ], "keywords": [ "soft shadows" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 542, "image_height": 454, "name": "KREUZER-2017-PBF-image.png", "type": "image/png", "size": 112349, "path": "Publication:KREUZER-2017-PBF", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/KREUZER-2017-PBF-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/KREUZER-2017-PBF-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "KREUZER-2017-PBF-poster.pdf", "type": "application/pdf", "size": 2166045, "path": "Publication:KREUZER-2017-PBF", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/KREUZER-2017-PBF-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/KREUZER-2017-PBF-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "KREUZER-2017-PBF-thesis.pdf", "type": "application/pdf", "size": 9488073, "path": "Publication:KREUZER-2017-PBF", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/KREUZER-2017-PBF-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/KREUZER-2017-PBF-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/", "__class": "Publication" }, { "id": "OPPITZ-2017-3DM", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "3D Mass Customization: Real-Time High-Quality Lighting Effects for WebGL", "date": "2017-10-01", "abstract": "During the internship at ShapeDiver GmbH the visual quality of an existing WebGL\nplatform had to be improved. This platform is used as an online 3D configurator, in which customers\ncan modify the properties of parametric models. This includes the modification of properties like\nshape, size and materials. The difficulty for this project was to contemplate the fact that the product\ncan be customized by the user in real-time.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 825, "image_height": 605, "name": "OPPITZ-2017-3DM-image.jpg", "type": "image/jpeg", "size": 25757, "path": "Publication:OPPITZ-2017-3DM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/OPPITZ-2017-3DM/OPPITZ-2017-3DM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/OPPITZ-2017-3DM/OPPITZ-2017-3DM-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1501 ], "date_end": "2017-10-01", "date_start": "2017-06-20", "matrikelnr": "1227129", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 825, "image_height": 605, "name": "OPPITZ-2017-3DM-image.jpg", "type": "image/jpeg", "size": 25757, "path": "Publication:OPPITZ-2017-3DM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/OPPITZ-2017-3DM/OPPITZ-2017-3DM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/OPPITZ-2017-3DM/OPPITZ-2017-3DM-image:thumb{{size}}.png" }, { "description": null, "filetitle": "report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "OPPITZ-2017-3DM-report.pdf", "type": "application/pdf", "size": 5299833, "path": "Publication:OPPITZ-2017-3DM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/OPPITZ-2017-3DM/OPPITZ-2017-3DM-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/OPPITZ-2017-3DM/OPPITZ-2017-3DM-report:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/OPPITZ-2017-3DM/", "__class": "Publication" }, { "id": "leimer_2017_rbpesc", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Relation-Based Parametrization and Exploration of Shape Collections", "date": "2017-10", "abstract": "With online repositories for 3D models like 3D Warehouse becoming more prevalent and growing ever larger, new possibilities have emerged for both experienced and inexperienced users. These large collections of shapes can provide inspiration for designers or make it possible to synthesize new shapes by combining different parts from already existing shapes, which can be both easy to learn and a fast way of creating new shapes. But exploring large shape collections or searching for particular kinds of shapes can be difficult and time-consuming tasks as well, especially considering that online repositories are often disorganized. In our work, we propose a relation-based way to parametrize shape collections, allowing the user to explore the entire set of shapes based on the variability of spatial arrangements between pairs of parts. The way in which shapes differ from each other is captured automatically, resulting in a small number of exploration parameters. Furthermore, a copy-and-paste system for parts allows the user to change the structure of a shape, making it possible to explore the entire collection from any initial shape.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2000, "image_height": 1267, "name": "leimer_2017_rbpesc-image.png", "type": "image/png", "size": 969130, "path": "Publication:leimer_2017_rbpesc", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1019, 1292, 193, 844 ], "issn": "0097-8493", "journal": "Computers & Graphics", "pages_from": "127", "pages_to": "137", "volume": "67", "research_areas": [ "Geometry", "Modeling" ], "keywords": [ "3d database exploration", "Model variability", "Shape analysis", "Shape collections" ], "weblinks": [ { "href": "https://doi.org/10.1016/j.cag.2017.07.001", "caption": "DOI", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2000, "image_height": 1267, "name": "leimer_2017_rbpesc-image.png", "type": "image/png", "size": 969130, "path": "Publication:leimer_2017_rbpesc", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-image:thumb{{size}}.png" }, { "description": null, "filetitle": "preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer_2017_rbpesc-preprint.pdf", "type": "application/pdf", "size": 14650651, "path": "Publication:leimer_2017_rbpesc", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-preprint:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer_2017_rbpesc-video.mp4", "type": "video/mp4", "size": 32483590, "path": "Publication:leimer_2017_rbpesc", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-video:video.mp4" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/", "__class": "Publication" }, { "id": "mindek-2017-dsn", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Data-Sensitive Visual Navigation", "date": "2017-10", "abstract": "In visualization systems it is often the case that the changes of the input parameters are not proportional to the visual change of the generated output. In this paper, we propose a model for enabling data-sensitive navigation for user-interface elements. This model is applied to normalize the user input according to the visual change, and also to visually communicate this normalization. In this way, the exploration of heterogeneous data using common interaction elements can be performed in an efficient way. We apply our model to the field of medical visualization and present guided navigation tools for traversing vascular structures and for camera rotation around 3D volumes. The presented examples demonstrate that the model scales to user-interface elements where multiple parameters are set simultaneously.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1020, "image_height": 1020, "name": "mindek-2017-dsn-.png", "type": "image/png", "size": 700890, "path": "Publication:mindek-2017-dsn", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-dsn/mindek-2017-dsn-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-dsn/mindek-2017-dsn-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935, 869, 166, 161 ], "date_from": "2017-05-15", "date_to": "2017-05-17", "event": "SCCG 2017", "journal": "Computers & Graphics", "lecturer": [ 166 ], "location": "Mikulov, Czech Republic", "number": "C", "pages_from": "77", "pages_to": "85", "volume": "67", "research_areas": [ "MedVis", "Perception" ], "keywords": [ "navigation", "exploration", "medical visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1020, "image_height": 1020, "name": "mindek-2017-dsn-.png", "type": "image/png", "size": 700890, "path": "Publication:mindek-2017-dsn", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-dsn/mindek-2017-dsn-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-dsn/mindek-2017-dsn-:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-2017-dsn-Paper.pdf", "type": "application/pdf", "size": 952068, "path": "Publication:mindek-2017-dsn", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-dsn/mindek-2017-dsn-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-dsn/mindek-2017-dsn-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-dsn/", "__class": "Publication" }, { "id": "weinzierl_heigl-2017-wh14", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Adaptively Clustered Reflective Shadow Maps", "date": "2017-10", "abstract": "The content of this thesis is to extend an existing real-time global illumination technique that uses Virtual Area Lights (VALs) for indirect illumination in combination with point-based shadow maps, so called Imperfect Shadow Maps (ISMs) to generate corresponding soft indirect shadows. A clustering algorithm inspired by k-Means creates VAL-clusters in light space, which are updated on a frame-by-frame basis. In this talk we will present concepts and techniques to eliminate some of the constraints and limitations of the existing solution as well as incorporating new ideas to make the algorithm more robust for larger, more complex and dynamic scenes. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 846, "image_height": 708, "name": "weinzierl_heigl-2017-wh14-image.png", "type": "image/png", "size": 221180, "path": "Publication:weinzierl_heigl-2017-wh14", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/weinzierl_heigl-2017-wh14-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/weinzierl_heigl-2017-wh14-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1004 ], "date_end": "2017-10-05", "date_start": "2013-10-01", "diploma_examina": "2017-10-05", "matrikelnr": "0625044", "supervisor": [ 799, 193 ], "research_areas": [ "Rendering" ], "keywords": [ "VAL", "ISM", "Virtual Area Lights", "Global Illumination", "Imperfect Shadow Maps" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 846, "image_height": 708, "name": "weinzierl_heigl-2017-wh14-image.png", "type": "image/png", "size": 221180, "path": "Publication:weinzierl_heigl-2017-wh14", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/weinzierl_heigl-2017-wh14-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/weinzierl_heigl-2017-wh14-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "weinzierl_heigl-2017-wh14-poster.pdf", "type": "application/pdf", "size": 4294712, "path": "Publication:weinzierl_heigl-2017-wh14", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/weinzierl_heigl-2017-wh14-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/weinzierl_heigl-2017-wh14-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "weinzierl_heigl-2017-wh14-thesis.pdf", "type": "application/pdf", "size": 5044435, "path": "Publication:weinzierl_heigl-2017-wh14", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/weinzierl_heigl-2017-wh14-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/weinzierl_heigl-2017-wh14-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/", "__class": "Publication" }, { "id": "Diehl-2017-Albero", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Albero: A Visual Analytics Approach for Probabilistic Weather Forecasting", "date": "2017-10", "abstract": "Probabilistic weather forecasts are amongst the most popular ways to quantify numerical forecast uncertainties. The analog\nregression method can quantify uncertainties and express them as probabilities. The method comprises the analysis of errors\nfrom a large database of past forecasts generated with a specific numerical model and observational data. Current visualization\ntools based on this method are essentially automated and provide limited analysis capabilities. In this paper, we propose a novel\napproach that breaks down the automatic process using the experience and knowledge of the users and creates a new interactive\nvisual workflow. Our approach allows forecasters to study probabilistic forecasts, their inner analogs and observations, their\nassociated spatial errors, and additional statistical information by means of coordinated and linked views. We designed the\npresented solution following a participatory methodology together with domain experts. Several meteorologists with different\nbackgrounds validated the approach. Two case studies illustrate the capabilities of our solution. It successfully facilitates the\nanalysis of uncertainty and systematic model biases for improved decision-making and process-quality measurements.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1121, 1396, 1122, 235, 166, 161 ], "date_from": "2017", "date_to": "2017", "doi": "10.1111/cgf.13279", "event": "Pacific Graphics 2017", "journal": "Computer Graphics Forum 36(7) 135-144 (2017)", "lecturer": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Diehl-2017-Albero-paper.pdf", "type": "application/pdf", "size": 29579036, "path": "Publication:Diehl-2017-Albero", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Diehl-2017-Albero/Diehl-2017-Albero-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Diehl-2017-Albero/Diehl-2017-Albero-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Diehl-2017-Albero/", "__class": "Publication" }, { "id": "preiner_2017_phd", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Dynamic and Probabilistic Point-Cloud Processing", "date": "2017-10", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1030, "image_height": 556, "name": "preiner_2017_phd-teaser.png", "type": "image/png", "size": 554220, "path": "Publication:preiner_2017_phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/preiner_2017_phd/preiner_2017_phd-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/preiner_2017_phd/preiner_2017_phd-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 799 ], "date_end": "2017", "date_start": "2010", "matrikelnr": "0430380", "reviewer_1": [ 1510 ], "reviewer_2": [ 1511 ], "rigorosum": "2017-10-13", "supervisor": [ 193 ], "research_areas": [ "Geometry", "Modeling", "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1030, "image_height": 556, "name": "preiner_2017_phd-teaser.png", "type": "image/png", "size": 554220, "path": "Publication:preiner_2017_phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/preiner_2017_phd/preiner_2017_phd-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/preiner_2017_phd/preiner_2017_phd-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "preiner_2017_phd-thesis.pdf", "type": "application/pdf", "size": 223842034, "path": "Publication:preiner_2017_phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/preiner_2017_phd/preiner_2017_phd-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/preiner_2017_phd/preiner_2017_phd-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/preiner_2017_phd/", "__class": "Publication" }, { "id": "HU-2017-ETM", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Efficient Tree Modeling from Airborne LiDAR Point Clouds", "date": "2017-10", "abstract": "Modeling real-world trees is important in many application areas, including computer graphics, botany and forestry. An example of a modeling method is reconstruction from light detection and ranging (LiDAR) scans. In contrast to terrestrial LiDAR systems, airborne LiDAR systems – even current high-resolution systems – capture only very few samples on tree branches, which makes the reconstruction of trees from airborne LiDAR a challenging task. In this paper, we present a new method to model plausible trees with fine details from airborne LiDAR point clouds. To reconstruct tree models, first, we use a normalized cut method to segment an individual tree point cloud. Then, trunk points are added to supplement the incomplete point cloud, and a connected graph is constructed by searching sufficient nearest neighbors for each point. Based on the observation of real-world trees, a direction field is created to restrict branch directions. Then, branch skeletons are constructed using a bottom-up greedy algorithm with a priority queue, and leaves are arranged according to phyllotaxis. We demonstrate our method on a variety of examples and show that it can generate a plausible tree model in less than one second, in addition to preserving features of the original point cloud.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 864, "image_height": 502, "name": "HU-2017-ETM-teaser.png", "type": "image/png", "size": 759188, "path": "Publication:HU-2017-ETM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/HU-2017-ETM/HU-2017-ETM-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/HU-2017-ETM/HU-2017-ETM-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1467, 1468, 1469, 1470, 193 ], "issn": "0097-8493", "journal": "Computers & Graphics", "pages_from": "1", "pages_to": "13", "volume": "67", "research_areas": [ "Modeling" ], "keywords": [ "tree modeling", "LIDAR", "point clouds" ], "weblinks": [], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "HU-2017-ETM-draft.pdf", "type": "application/pdf", "size": 17872780, "path": "Publication:HU-2017-ETM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/HU-2017-ETM/HU-2017-ETM-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/HU-2017-ETM/HU-2017-ETM-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 864, "image_height": 502, "name": "HU-2017-ETM-teaser.png", "type": "image/png", "size": 759188, "path": "Publication:HU-2017-ETM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/HU-2017-ETM/HU-2017-ETM-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/HU-2017-ETM/HU-2017-ETM-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/HU-2017-ETM/", "__class": "Publication" }, { "id": "Purgathofer-2017-China2", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "From Visualization to Decision Support", "date": "2017-09-29", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_to": "2017-09-29", "event": "2nd International Forum on VR Visual Computing Technologies", "location": "Hangzhou, China", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Purgathofer-2017-China2/", "__class": "Publication" }, { "id": "Groeller-2017-AMOS", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "A Matter of Scale", "date": "2017-09-28", "abstract": "Scale and scalability have been recurring topics in our field. Recent developments like smart data, machine learning, and advances in domains like biology, cartography, smart communities, and communication pose novel challenges to scalability and use of scale. Examples include scale-transparent visual computing, cross-scale visualization and interaction, massive multi-scale techniques, scale integration, cross-scale labeling and annotation, cross scales on structure and dynamics, and continuous scales", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2017-09-28", "date_to": "2017-09-28", "event": "Molecular Animation Summit", "lecturer": [ 166 ], "location": "University of Utah, SCI", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Groeller-2017-AMOS/", "__class": "Publication" }, { "id": "pointner_michael-2017-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Multi-Focal Image Generation using Automatic Depth-Based Focus Selection", "date": "2017-09-28", "abstract": "One of the most important objectives in photography is the sharpness of the whole\nimage, which is not so easy to achieve because of the physical properties of a camera lens.\nDue to Google’s new Tango API, which enables the perception of depth information on\nsmartphones, we have evaluated the usability of this new technology for the generation of\nall-sharp images through multi-focus with the Lenovo Phab 2 Pro as the first smartphone\nto support this technology.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Image vs. depth image", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 510, "image_height": 440, "name": "pointner_michael-2017-baa-image.png", "type": "image/png", "size": 331005, "path": "Publication:pointner_michael-2017-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/pointner_michael-2017-baa/pointner_michael-2017-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/pointner_michael-2017-baa/pointner_michael-2017-baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1535 ], "date_end": "2017-08-31", "date_start": "2017-03-01", "matrikelnr": "01427791", "supervisor": [ 948 ], "research_areas": [ "Geometry", "Rendering" ], "keywords": [ "all-in-focus", "focus selection", "image stitching" ], "weblinks": [], "files": [ { "description": "Image vs. depth image", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 510, "image_height": 440, "name": "pointner_michael-2017-baa-image.png", "type": "image/png", "size": 331005, "path": "Publication:pointner_michael-2017-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/pointner_michael-2017-baa/pointner_michael-2017-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/pointner_michael-2017-baa/pointner_michael-2017-baa-image:thumb{{size}}.png" }, { "description": "Bachelor thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "pointner_michael-2017-baa-thesis.pdf", "type": "application/pdf", "size": 30588625, "path": "Publication:pointner_michael-2017-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/pointner_michael-2017-baa/pointner_michael-2017-baa-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/pointner_michael-2017-baa/pointner_michael-2017-baa-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "ShapeAcquisition" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/pointner_michael-2017-baa/", "__class": "Publication" }, { "id": "Purgathofer-2017-China1", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "From Visualization to Decision Support", "date": "2017-09-28", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2017-09-28", "event": "Virtual Reality and Visual Computing International Forum", "location": "Nanjing, China", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Purgathofer-2017-China1/", "__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": "Dietrich_1", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "SirTom - Structural information retaining Triangle-based Occlusion Management", "date": "2017-09-18", "abstract": "As cutaway occlusion management techniques are always bound to a certain degree of\ninformation loss and other occlusion management solutions do not always yield good results, specifically in regards to dense molecular assemblies like the ones displayed in CellVIEW. This makes it desirable to devise a strategy which optimizes cutaway techniques to retain more information. SirTom focuses on retaining as much information about structures inside such assemblies as possible by creating a cutaway strategy that opts to give them a mesh-like appearance. This is done by creating a mesh and then deciding via probability which molecules are more likely to retain this information in a pseudo-random fashion. SirTom grants the possibility to gain insight with less removed particles and is such a helpful algorithm for visualizing occluding surface structures.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 432, "image_height": 397, "name": "Dietrich_1-image.JPG", "type": "image/jpeg", "size": 38147, "path": "Publication:Dietrich_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Dietrich_1/Dietrich_1-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Dietrich_1/Dietrich_1-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1384 ], "date_end": "2017-09-18", "date_start": "2016-10", "matrikelnr": "1026167", "supervisor": [ 166 ], "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Dietrich_1-Bachelor Thesis.pdf", "type": "application/pdf", "size": 5617700, "path": "Publication:Dietrich_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Dietrich_1/Dietrich_1-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Dietrich_1/Dietrich_1-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 432, "image_height": 397, "name": "Dietrich_1-image.JPG", "type": "image/jpeg", "size": 38147, "path": "Publication:Dietrich_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Dietrich_1/Dietrich_1-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Dietrich_1/Dietrich_1-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Dietrich_1/", "__class": "Publication" }, { "id": "JORDAKIEVA-2017-VFR", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Visualization of Filter Rules in Autonomous Software-Agents", "date": "2017-09-11", "abstract": "SiMA (Simulation of the Mental Apparatus & Applications) is an interdisciplinary project, in which technicians and psychoanalysts cooperatively develop an implementable model of a decision-making unit based on the human psychological apparatus. Particular attention is attributed to designing the developed system akin to the human model in its functions (and its behavior). This includes the im-plementation of social rules and defense mechanisms. Together they form a bionically inspired filter mechanism for the agent's sensory data. The filter mechanism allows the user to identify and resolve conflicts arising between the agent’s perception and goals or implemented social rules. In this work, the SiMA project is further developed iteratively, following a use-case-driven methodo-logical approach. The basis is psychoanalytic use cases, which depict human behavior. The current use case revolves around the refinement of defense mechanisms. To fulfill this use case it is necessary to enhance the defense mechanisms to the next development stage. This includes the formulation of filter rules, knowledge representation for mapping these filter rules and validating their visualization possibilities and their influence on decision making. Additionally, the infrastructure for implementing the current use case has to be advanced further in order to enable validation with the entire system. This necessitates the development of an inventory system and new actions for the agent. After analyzing different input possibilities and knowledge representations regarding their suitability for the SiMA model, it could be shown that no existing model meets the specific requirements for flexibility and legibility. As a result, a separate input and memory format was developed for the filter rules and integrated into the existing model. The approach was embedded into the existing Java im-plementation of the SiMA model and tested in a multi-agent simulation environment (MASON). The simulation results supported eligibility of the newly developed rule format and highlighted the poten-tial applications for the use of this bionically inspired filter mechanism.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1240, "image_height": 1109, "name": "JORDAKIEVA-2017-VFR-image.jpg", "type": "image/jpeg", "size": 132493, "path": "Publication:JORDAKIEVA-2017-VFR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/JORDAKIEVA-2017-VFR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/JORDAKIEVA-2017-VFR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1565 ], "date_end": "2017-09-11", "date_start": "2017-07-10", "diploma_examina": "2017-09-11", "matrikelnr": "00106532", "supervisor": [ 193 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1240, "image_height": 1109, "name": "JORDAKIEVA-2017-VFR-image.jpg", "type": "image/jpeg", "size": 132493, "path": "Publication:JORDAKIEVA-2017-VFR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/JORDAKIEVA-2017-VFR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/JORDAKIEVA-2017-VFR-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "JORDAKIEVA-2017-VFR-poster.pdf", "type": "application/pdf", "size": 599627, "path": "Publication:JORDAKIEVA-2017-VFR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/JORDAKIEVA-2017-VFR-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/JORDAKIEVA-2017-VFR-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "JORDAKIEVA-2017-VFR-thesis.pdf", "type": "application/pdf", "size": 4390084, "path": "Publication:JORDAKIEVA-2017-VFR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/JORDAKIEVA-2017-VFR-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/JORDAKIEVA-2017-VFR-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/", "__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": "dodik-2017-pcbpt", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Implementing Probabilistic Connections for Bidirectional Path Tracing in the Mitsuba Renderer", "date": "2017-09-03", "abstract": "Light transport simulation algorithms are remarkably adept at recreating a large variety of light phenomena which occur in nature. As such they have seen widespread adoption across the industry, which made it paramount to create efficient and robust algorithms. One recent algorithm which tries to deal with this problem is known as Probabilistic Connections for Bidirectional Path Tracing (PCBPT). It builds upon the classical Bidirectional Path Tracing (BDPT) algorithm. In Bidirectional Path Tracing, a ray is traced from the sensor as well as from the emitter. The two rays are then connected to calculate the light contribution to image pixels. PCBPT extends this idea to support connecting multiple emitter paths to one sensor subpath, and introduces importance sampling as a way of choosing the most suitable emitter paths. Unfortunately, there was no implementation of PCBPT publically available, which is why we implemented it into the open-source Mitsuba renderer. We evaluate the algorithm against standard BDPT on a variety of different scenes. Our comparisons provide insight into what type of scenes PCBPT can help improve and where the additional computational cost presents too much of an overhead.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Equal time comparison of the inner paths of BDPT (top-left) and PCBPT (bottom-right). PCBPT produces significantly less noise than BDPT due to importance sampling connections.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1280, "image_height": 720, "name": "dodik-2017-pcbpt-teaser.png", "type": "image/png", "size": 2185009, "path": "Publication:dodik-2017-pcbpt", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/dodik-2017-pcbpt/dodik-2017-pcbpt-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/dodik-2017-pcbpt/dodik-2017-pcbpt-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1500 ], "date_end": "2017-09-03", "date_start": "2017-05-23", "matrikelnr": "01328690", "supervisor": [ 1129, 193 ], "research_areas": [ "Rendering" ], "keywords": [ "physically based rendering", "Monte Carlo rendering", "bidirectional path tracing", "probabilistic connections for bidirectional path tracing", "Mitsuba", "importance sampling" ], "weblinks": [ { "href": "https://dodiknikola.github.io/publication/prob-conns/", "caption": "Author's Web Page", "description": null, "main_file": 0 } ], "files": [ { "description": "Equal time comparison of the inner paths of BDPT (top-left) and PCBPT (bottom-right). PCBPT produces significantly less noise than BDPT due to importance sampling connections.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1280, "image_height": 720, "name": "dodik-2017-pcbpt-teaser.png", "type": "image/png", "size": 2185009, "path": "Publication:dodik-2017-pcbpt", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/dodik-2017-pcbpt/dodik-2017-pcbpt-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/dodik-2017-pcbpt/dodik-2017-pcbpt-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "dodik-2017-pcbpt-thesis.pdf", "type": "application/pdf", "size": 47619478, "path": "Publication:dodik-2017-pcbpt", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/dodik-2017-pcbpt/dodik-2017-pcbpt-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/dodik-2017-pcbpt/dodik-2017-pcbpt-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/dodik-2017-pcbpt/", "__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": "erler_philipp-2017-phd", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Smart Surface Reconstruction", "date": "2017-09", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": "Reconstruction, 3D representations", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1440, "image_height": 501, "name": "erler_philipp-2017-phd-image.png", "type": "image/png", "size": 221151, "path": "Publication:erler_philipp-2017-phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/erler_philipp-2017-phd/erler_philipp-2017-phd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/erler_philipp-2017-phd/erler_philipp-2017-phd-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1395 ], "date_end": "2026-02-11", "date_start": "2017-09", "duration": "3 years", "reviewer_1": [ 5558 ], "reviewer_2": [ 1519 ], "rigorosum": "2026-02-11", "supervisor": [ 193 ], "research_areas": [ "Geometry", "Modeling" ], "keywords": [ "Surface Reconstruction", "Deep Learning", "Point Cloud" ], "weblinks": [], "files": [ { "description": "Dissertation PDF", "filetitle": "dissertation", "main_file": true, "use_in_gallery": false, "access": "public", "name": "erler_philipp-2017-phd-dissertation.pdf", "type": "application/pdf", "size": 115758696, "path": "Publication:erler_philipp-2017-phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/erler_philipp-2017-phd/erler_philipp-2017-phd-dissertation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/erler_philipp-2017-phd/erler_philipp-2017-phd-dissertation:thumb{{size}}.png" }, { "description": "Reconstruction, 3D representations", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1440, "image_height": 501, "name": "erler_philipp-2017-phd-image.png", "type": "image/png", "size": 221151, "path": "Publication:erler_philipp-2017-phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/erler_philipp-2017-phd/erler_philipp-2017-phd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/erler_philipp-2017-phd/erler_philipp-2017-phd-image:thumb{{size}}.png" } ], "projects_workgroups": [ "ShapeAcquisition", "d4388", "Superhumans" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/erler_philipp-2017-phd/", "__class": "Publication" }, { "id": "SIETZEN-2017-BBO", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "A Method for Automatically Animating the Reassembly of Arbitrary Voronoi-Fractured Objects", "date": "2017-09", "abstract": "In this paper I present a method to procedurally generate\nthe necessary data to animate 2 robots assembling an arbitrary\nVoronoi-fractured object without intersections. The\nmain problem of finding a possible assembly sequence is\ntackled using various methods of geometrical calculation\nand linear programming. The goal of this work is to automatically\ngenerate visually interesting animation which\ncan then be used for various scenarios, for example decorative\nvisuals or game scenery.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1168, "image_height": 498, "name": "SIETZEN-2017-BBO-image.png", "type": "image/png", "size": 674500, "path": "Publication:SIETZEN-2017-BBO", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIETZEN-2017-BBO/SIETZEN-2017-BBO-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIETZEN-2017-BBO/SIETZEN-2017-BBO-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1373 ], "date_end": "2017-09-22", "date_start": "2016-08-09", "matrikelnr": "0372194", "supervisor": [ 193 ], "research_areas": [ "Modeling" ], "keywords": [], "weblinks": [], "files": [ { "description": "Paper published at CESCG 2017 for this thesis.", "filetitle": "cescg2017-paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "SIETZEN-2017-BBO-cescg2017-paper.pdf", "type": "application/pdf", "size": 6832728, "path": "Publication:SIETZEN-2017-BBO", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIETZEN-2017-BBO/SIETZEN-2017-BBO-cescg2017-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIETZEN-2017-BBO/SIETZEN-2017-BBO-cescg2017-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1168, "image_height": 498, "name": "SIETZEN-2017-BBO-image.png", "type": "image/png", "size": 674500, "path": "Publication:SIETZEN-2017-BBO", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIETZEN-2017-BBO/SIETZEN-2017-BBO-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIETZEN-2017-BBO/SIETZEN-2017-BBO-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIETZEN-2017-BBO/", "__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": "kroesl-2017-LiteMaker", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "LiteMaker: Interactive Luminaire Development using Progressive Photon Tracing and Multi-Resolution Upsampling", "date": "2017-09", "abstract": "Industrial applications like luminaire development (the creation of a luminaire in terms of geometry and material) or lighting design (the efficient and aesthetic placement of luminaires in a virtual scene) rely heavily on high realism and physically correct simulations. Using typical approaches like CAD modeling and offline rendering, this requirement induces long processing times and therefore inflexible workflows. In this paper, we combine a GPU-based progressive photon-tracing algorithm to accurately simulate the light distribution of a luminaire with a novel multi-resolution image-filtering approach that produces visually meaningful intermediate results of the simulation process. By using this method in a 3D modeling environment, luminaire development is turned into an interactive process, allowing for real-time modifications and immediate feedback on the light distribution. Since the simulation results converge to a physically plausible solution that can be imported as a representation of a luminaire into a light-planning software, our work contributes to combining the two former decoupled workflows of luminaire development and lighting design, reducing the overall production time and cost for luminaire manufacturers. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1650, "image_height": 1200, "name": "kroesl-2017-LiteMaker-image.jpg", "type": "image/jpeg", "size": 123349, "path": "Publication:kroesl-2017-LiteMaker", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1030, 659, 678, 193 ], "booktitle": "Vision, Modeling & Visualization", "date_from": "2017-09-25", "date_to": "2017-09-27", "doi": "10.2312/vmv.20171253", "editor": "Matthias Hullin and Reinhard Klein and Thomas Schultz and Angela Yao", "event": "VMV 2017", "isbn": "978-3-03868-049-9", "lecturer": [ 1030 ], "location": "Bonn, Germany", "pages_from": "1", "pages_to": "8", "publisher": "The Eurographics Association", "research_areas": [ "Rendering" ], "keywords": [ "Computing methodologies", "Ray tracing", "Image processing", "Mesh geometry models" ], "weblinks": [ { "href": "https://diglib.eg.org/handle/10.2312/vmv20171253", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1650, "image_height": 1200, "name": "kroesl-2017-LiteMaker-image.jpg", "type": "image/jpeg", "size": 123349, "path": "Publication:kroesl-2017-LiteMaker", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-image:thumb{{size}}.png" }, { "description": "author's version", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl-2017-LiteMaker-paper.pdf", "type": "application/pdf", "size": 9344654, "path": "Publication:kroesl-2017-LiteMaker", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl-2017-LiteMaker-video.mp4", "type": "video/mp4", "size": 51946468, "path": "Publication:kroesl-2017-LiteMaker", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-video:video.mp4" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/", "__class": "Publication" }, { "id": "FRAISS-2017-PCU", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Rendering Large Point Clouds in Unity", "date": "2017-09", "abstract": "In this thesis, a point-cloud renderer was developed in the game engine Unity. The focus lies especially on very big point clouds with several millions or billions of points, which cannot be loaded completely into memory. Special data structures and algorithms are needed to load and render continuously only the parts of the point-cloud that are relevant for the current camera position. The result is an efficient rendering system with variable settings and various rendering methods. The project is available on GitHub.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "frustum culling", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 927, "image_height": 522, "name": "FRAISS-2017-PCU-frustum culling.png", "type": "image/png", "size": 383642, "path": "Publication:FRAISS-2017-PCU", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/FRAISS-2017-PCU-frustum culling.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/FRAISS-2017-PCU-frustum culling:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1495 ], "date_end": "2017-09", "date_start": "2017-04", "matrikelnr": "01425602", "supervisor": [ 193, 1116 ], "research_areas": [ "Rendering" ], "keywords": [ "point clouds", "unity" ], "weblinks": [ { "href": "https://github.com/SFraissTU/BA_PointCloud", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 661, "image_height": 755, "name": "FRAISS-2017-PCU-.png", "type": "image/png", "size": 774729, "path": "Publication:FRAISS-2017-PCU", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/FRAISS-2017-PCU-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/FRAISS-2017-PCU-:thumb{{size}}.png" }, { "description": null, "filetitle": "frustum culling", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 927, "image_height": 522, "name": "FRAISS-2017-PCU-frustum culling.png", "type": "image/png", "size": 383642, "path": "Publication:FRAISS-2017-PCU", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/FRAISS-2017-PCU-frustum culling.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/FRAISS-2017-PCU-frustum culling:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "FRAISS-2017-PCU-thesis.pdf", "type": "application/pdf", "size": 13428774, "path": "Publication:FRAISS-2017-PCU", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/FRAISS-2017-PCU-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/FRAISS-2017-PCU-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/", "__class": "Publication" }, { "id": "ZOTTI-2017-BM", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Beyond 3D Models: Simulation of Temporally Evolving Models in Stellarium", "date": "2017-09", "abstract": "In recent years, the interactive visual exploration and demonstration of three-dimensional virtual models of buildings or natural structures of archaeoastronomical interest under a simulated sky has become available for users of the open-source desktop planetarium program Stellarium [Zotti, 2015, 2016]. Users can load an architectural model in the well-known OBJ format and walk around to explore sight lines or light-and-shadow interaction in present and past times [Frischer et al., 2016].\n\nHowever, until now, the model itself did not change in time, and loading models for various building phases (e.g., the assumed order of building the various standing stones, timber circles and stone circles of Stonehenge) always required a break in simulation and user interaction to load a model for the next phase. On the other hand, displaying a model under the sky of the wrong time may lead to inappropriate conclusions. Large-area models required considerable time to load, and loading caused a reset of location, so the user interested in changes in a certain viewing axis had to recreate that view again. Given that Stellarium is an “astronomical time machine”, nowadays capable of replaying sky vistas thousands of years ago with increasing accuracy [Zotti et al., submitted] and also for models with several million triangular faces, it seemed worth to explore possibilities to also show changes over time in the simulated buildings.\nThe Scenery3D plugin of Stellarium is, however, not a complete game engine, and replicating the infrastructure found in such game engines like Unity3D – for example to interactively move game objects, or load small sub-components like standing stones and place them at arbitrary coordinates – seemed overkill. The solution introduced here is remarkably simple and should be easily adoptable for the casual model-making researcher: the MTL material description for the model, a simple plain-text file that describes colour, reflection behaviour, photo-texture or transparency of the various parts of the object, can be extended for our rendering system. Newly introduced values describe dates where parts of the model can appear and disappear (with transitional transparency to allow for archaeological dating uncertainties). The model parts with these enhanced, time-aware materials appear to fade in during the indicated time, will be fully visible in their “active” time, and will fade out again when Stellarium is set to simulate the sky when the real-world structures most likely have vanished. The only requirement for the model creator is now to separate objects so that they receive unique materials that can then be identified and augmented with these entries in the MTL text file.\n\nThe advantages of this new feature should be clear: an observer can remain in a certain location in the virtual model and let the land- and skyscape change over decades or centuries, without the need to load new models. This allows the simulation of construction and reconstruction phases while still always keeping particularly interesting viewpoints unchanged, and will always show the matching sky for the most appropriate reconstruction phase of the model. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1331, "image_height": 467, "name": "ZOTTI-2017-BM-image.jpg", "type": "image/jpeg", "size": 45894, "path": "Publication:ZOTTI-2017-BM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-BM/ZOTTI-2017-BM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-BM/ZOTTI-2017-BM-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 222, 1093, 193 ], "booktitle": "25th SEAC Conference", "date_from": "2017-09-18", "date_to": "2017-09-22", "doi": "10.5281/zenodo.1477972", "event": "INSAP X – Oxford XI – SEAC 25th Joint Conference ‘ROAD TO THE STARS’", "issn": "1108-9628", "journal": "Mediterranean Archaeology and Archaeometry", "lecturer": [ 222 ], "location": "Santiago de Compostela, Spain", "number": "4", "open_access": "yes", "pages_from": "501", "pages_to": "506", "volume": "18", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1331, "image_height": 467, "name": "ZOTTI-2017-BM-image.jpg", "type": "image/jpeg", "size": 45894, "path": "Publication:ZOTTI-2017-BM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-BM/ZOTTI-2017-BM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-BM/ZOTTI-2017-BM-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ZOTTI-2017-BM-paper.pdf", "type": "application/pdf", "size": 518480, "path": "Publication:ZOTTI-2017-BM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-BM/ZOTTI-2017-BM-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-BM/ZOTTI-2017-BM-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-BM/", "__class": "Publication" }, { "id": "Groeller-2017-AVC", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Adaptive Visual Computing", "date": "2017-08-31", "abstract": "Visual computing uses 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. Several adaptive visual computing approaches are discussed in detail. Data-sensitive navigation for user-interface elements is presented. The approach normalizes user input according to visual change, and also visually communicates this normalization. In this way, output-sensitive interactions can be realized. Quantitative and reproducible linking & brushing as integral part of visual analytics is approached through structured brushing, percentile brushes, linked statistics, and change visualization. Multiscale models, e.g., from structural biology, require multiscale dynamic color mapping with sometimes overlapping or contradicting colors. We present a technique, which adaptively, based on the current scale level, nonlinearly and seamlessly adjusts the color scheme to depict or distinguish the currently best visible structural information. Adaptive visual computing is addressing the amplified data complexity through increased scalability. 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 ], "date_from": "2017-08-31", "date_to": "2017-08-31", "event": "Visit of University of Konstanz", "location": "University of Konstanz", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Groeller-2017-AVC/", "__class": "Publication" }, { "id": "LEOPOLD-2017-ALG", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Algorithmic Botany via Lindenmayer Systems in Blender", "date": "2017-08-29", "abstract": "Lindenmayer systems, or L-systems, are a well-established and thoroughly studied concept in the field of computer graphics. Originally introduced by theoretical botanist Aristid Lindenmayer to model the development of simple multicellular organisms, they are now commonly associated with the modeling of whole plants and complex branching structures. Various extensions such as stochastic, parametric and context-sensitive L-systems have been introduced to the formalism, allowing the modeling of stochastic, continuous growth and complex interactions of plant organisms with each other and with the external environment. More specialized interactive techniques are arguably better suited to more intuitively and predictably produce plant structures where artistic control is essential. Nonetheless, L-systems remain a fascinating and powerful methodology as they allow for the description of patterns of astonishing diversity via simple formal rules of production and graphical interpretation of the results. Small changes to these rules often yield unexpected but aesthetically fascinating results and the plethora of forms and patterns thus produced constitute a subject of study that is highly worthwhile in itself.\n\nThe focus of this work is not to present novel techniques for the aesthetic or biological modeling of plants. This work aims at integrating the existing formalism of parametric, context-sensitive L-systems in a widely used open-source computer graphics software like Blender in the form of an add-on, as well as to discuss the potential advantages of such an integration. In this regard, special consideration is given to allow the modeling of environmental interaction of a growing structure with a Blender scene.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 589, "image_height": 395, "name": "LEOPOLD-2017-ALG-image.jpg", "type": "image/jpeg", "size": 31455, "path": "Publication:LEOPOLD-2017-ALG", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/LEOPOLD-2017-ALG/LEOPOLD-2017-ALG-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/LEOPOLD-2017-ALG/LEOPOLD-2017-ALG-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1491 ], "date_end": "2017-08-09", "date_start": "2016-03-04", "matrikelnr": "1327344", "supervisor": [ 193 ], "research_areas": [ "Modeling" ], "keywords": [ "l-systems", "algorithmic botany" ], "weblinks": [ { "href": "https://github.com/mangostaniko/lpy-lsystems-blender-addon", "caption": "Source code repository", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 589, "image_height": 395, "name": "LEOPOLD-2017-ALG-image.jpg", "type": "image/jpeg", "size": 31455, "path": "Publication:LEOPOLD-2017-ALG", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/LEOPOLD-2017-ALG/LEOPOLD-2017-ALG-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/LEOPOLD-2017-ALG/LEOPOLD-2017-ALG-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "LEOPOLD-2017-ALG-thesis.pdf", "type": "application/pdf", "size": 5048736, "path": "Publication:LEOPOLD-2017-ALG", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/LEOPOLD-2017-ALG/LEOPOLD-2017-ALG-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/LEOPOLD-2017-ALG/LEOPOLD-2017-ALG-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/LEOPOLD-2017-ALG/", "__class": "Publication" }, { "id": "grossmann-2016-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Extracting Sensor Specific Noise Models", "date": "2017-08-28", "abstract": "With the growing number of consumer-oriented depth sensors like the Kinect or the\nnewly released Phab2Pro, the question of how precise these sensors are arises. In this\nthesis we want to evaluate the average noise in the generated depth measurements in\nboth the axial direction and the lateral directions. As part of a two-part project this\nthesis will view the noise’s development with varying distance and angle. Finally, we\nwill present and evaluate two models describing the noise behavior, with the first being\nderived from solely this thesis’ measurements and the second one being a combination of\nthe previous model and a model of a colleague. This derived models can be used in a\npost-processing step to filter the generated depth images.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Kinect v2 and Phab2Pro noise model evaluation", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 504, "image_height": 606, "name": "grossmann-2016-baa-image.png", "type": "image/png", "size": 217008, "path": "Publication:grossmann-2016-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/grossmann-2016-baa/grossmann-2016-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/grossmann-2016-baa/grossmann-2016-baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1366 ], "co_supervisor": [ 193 ], "date_end": "2017-08-28", "date_start": "2016-06-17", "duration": "4 months", "matrikelnr": "01325103", "note": "1", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "noise model", "surface reconstruction", "sensor noise" ], "weblinks": [], "files": [ { "description": "Kinect v2 and Phab2Pro noise model evaluation", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 504, "image_height": 606, "name": "grossmann-2016-baa-image.png", "type": "image/png", "size": 217008, "path": "Publication:grossmann-2016-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/grossmann-2016-baa/grossmann-2016-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/grossmann-2016-baa/grossmann-2016-baa-image:thumb{{size}}.png" }, { "description": "Bachelor thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "grossmann-2016-baa-thesis.pdf", "type": "application/pdf", "size": 12775551, "path": "Publication:grossmann-2016-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/grossmann-2016-baa/grossmann-2016-baa-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/grossmann-2016-baa/grossmann-2016-baa-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "ShapeAcquisition" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/grossmann-2016-baa/", "__class": "Publication" }, { "id": "koeppel-2016-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Extracting Noise Models – considering X / Y and Z Noise", "date": "2017-08-28", "abstract": "We have developed two different test setups allowing the characterization of noise in X,\nY and Z direction for the KinectV2 and the Phab2Pro depth sensors. We have combined\nthese two methods, generating a single noise model allowing a prediction of the amount of\nnoise in specific areas of an image in the three respective directions at a certain distance\nand rotation. We have conducted two test setups and measured the noise from 900 mm\nto 3.100 mm for the generation of the noise models. The test setup of this thesis focused\non determining the noise in X, Y and Z direction, covering the whole frustum of the\nrespective depth sensor. In this thesis, Z noise was measured against a wall and X and\nY noises were measured using a 3D chequerboard that was shifted through the room,\nallowing the above mentioned coverage of the whole frustum. Along the edges of the\ncells of the chequerboard, the X and Y noise was measured. The combined model was\nevaluated by using a solid cube to classify the quality of our noise model.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Camera calibration prior to extraction of depth values", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 443, "image_height": 316, "name": "koeppel-2016-baa-image.png", "type": "image/png", "size": 133989, "path": "Publication:koeppel-2016-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/koeppel-2016-baa/koeppel-2016-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/koeppel-2016-baa/koeppel-2016-baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1367 ], "co_supervisor": [ 193 ], "date_end": "2017-08-28", "date_start": "2016-06-17", "duration": "4 months", "matrikelnr": "01327052", "note": "1", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "noise model", "surface reconstruction", "sensor noise" ], "weblinks": [], "files": [ { "description": "Camera calibration prior to extraction of depth values", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 443, "image_height": 316, "name": "koeppel-2016-baa-image.png", "type": "image/png", "size": 133989, "path": "Publication:koeppel-2016-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/koeppel-2016-baa/koeppel-2016-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/koeppel-2016-baa/koeppel-2016-baa-image:thumb{{size}}.png" }, { "description": "Bachelor thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "koeppel-2016-baa-thesis.pdf", "type": "application/pdf", "size": 8955320, "path": "Publication:koeppel-2016-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/koeppel-2016-baa/koeppel-2016-baa-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/koeppel-2016-baa/koeppel-2016-baa-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "ShapeAcquisition" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/koeppel-2016-baa/", "__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": "ESBERGER-2016-AHO", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "A History of Austrian Computer Games", "date": "2017-08-22", "abstract": "Videospiele sind nicht nur eine der modernsten Unterhaltungs- und Kunstmedien, sondern\nauch eine der am schnelllebigsten. Trotz der Tatsache, dass erst seit 45 Jahren Videospiele\nexistieren, sind bereits viele Informationen darüber verloren gegangen. In Österreich\nbegann der Videospiele-Boom erst um 1990 herum, trotzdem sind auch hier schon viele\nInformationen verloren gegangen. Diese Arbeit soll auf den folgenden Seiten zeigen,\nwie das Projekt ”A History of Austrian Computer Games” durchgeführt wurde, um\nInformationen über die österreichische Spiellandschaft zu erhalten. Unter anderem wurde\ndazu ein Webauftritt erstellt, welcher die Spielegeschichte in einer Datenbank festhält\nund öffentlich verfügbar macht. Interviews von Gründer und Entwickler der damaligen\nSzene zeigen aber auch die persönliche Sicht auf die Ereignisse der Vergangenheit.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 800, "image_height": 200, "name": "ESBERGER-2016-AHO-image.png", "type": "image/png", "size": 37734, "path": "Publication:ESBERGER-2016-AHO", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ESBERGER-2016-AHO/ESBERGER-2016-AHO-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ESBERGER-2016-AHO/ESBERGER-2016-AHO-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1374 ], "date_end": "2017-08-22", "date_start": "2016-08-12", "matrikelnr": "1325696", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [ { "href": "https://austriangames.at/", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 800, "image_height": 200, "name": "ESBERGER-2016-AHO-image.png", "type": "image/png", "size": 37734, "path": "Publication:ESBERGER-2016-AHO", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ESBERGER-2016-AHO/ESBERGER-2016-AHO-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ESBERGER-2016-AHO/ESBERGER-2016-AHO-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ESBERGER-2016-AHO-thesis.pdf", "type": "application/pdf", "size": 1157831, "path": "Publication:ESBERGER-2016-AHO", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ESBERGER-2016-AHO/ESBERGER-2016-AHO-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ESBERGER-2016-AHO/ESBERGER-2016-AHO-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ESBERGER-2016-AHO/", "__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": "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": "Groeller-2017-PTPMD", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "AnimoAminoMiner: Exploration of Protein Tunnels and their Properties in Molecular Dynamics", "date": "2017-07-24", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1254, 1189, 166, 171, 1248 ], "date_from": "2017-07-24", "date_to": "2017-07-24", "event": "BioVis@ISMB 2017", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Groeller-2017-PTPMD/", "__class": "Publication" }, { "id": "ERLER-2017-HVR", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Haptic Feedback in Room-Scale VR", "date": "2017-07-18", "abstract": "Virtual reality (VR) is now becoming a mainstream medium. Current systems like the HTC Vive offer accurate tracking of the HMD and controllers, which allows for highly immersive interactions with the virtual environment. The interactions can be further enhanced by adding feedback. As an example, a controller can vibrate when it is close to a grabbable ball. \n\nAs such interactions are not exhaustingly researched, we conducted a user study. Specifically, we examine:\n\n- grabbing and throwing with controllers in a simple basketball game.\n\n- the influence of haptic and optical feedback on performance, presence, task load, and usability.\n\n- the advantages of VR over desktop for point-cloud editing.\n\nSeveral new techniques emerged from the point-cloud editor for VR. The bi-manual pinch gesture, which extends the handlebar metaphor, is a novel viewing method used to translate, rotate, and scale the point-cloud. Our new rendering technique uses the geometry shader to draw sparse point clouds quickly. The selection volumes at the controllers are our new technique to efficiently select points in point clouds. The resulting selection is visualized in real time.\n\nThe results of the user study show that:\n\n- grabbing with a controller button is intuitive but throwing is not. Releasing a button is a bad metaphor for releasing a grabbed virtual object in order to throw it.\n\n- any feedback is better than none. Adding haptic, optical, or both feedback types to the grabbing improves the user performance and presence. However, only sub-scores like accuracy and predictability are significantly improved. Usability and task load are mostly unaffected by feedback.\n\n- the point-cloud editing is significantly better in VR with the bi-manual pinch gesture and selection volumes than on the desktop with the orbiting camera and lasso selections.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "point cloud selection", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 900, "name": "ERLER-2017-HVR-point cloud selection.png", "type": "image/png", "size": 920489, "path": "Publication:ERLER-2017-HVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-point cloud selection.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-point cloud selection:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1395 ], "date_end": "2017", "date_start": "2016", "diploma_examina": "2017-08-17", "matrikelnr": "01426424", "supervisor": [ 193, 1116 ], "research_areas": [ "Perception", "Rendering" ], "keywords": [ "virtual reality, room-scale VR, throwing, grabbing, physics, basketball, haptic feedback, optical feedback, controllers, point cloud, point-cloud editing, presence, performance, usability, task load" ], "weblinks": [ { "href": "https://github.com/ErlerPhilipp/VR_DA", "caption": "VR Apps Repo", "description": "This is the repo containing the basketball game, the feedback tester and the point cloud editor.", "main_file": 1 }, { "href": "https://bitbucket.org/PhErler/surveyanalyzer/src/master/", "caption": "Analyzer Repo", "description": "This is the self-written tool to analyze the survey results statistically.", "main_file": 1 }, { "href": "https://philipperler.net/2017/06/13/haptic-feedback-in-room-scale-vr/", "caption": "P++ VR DA", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "point cloud selection", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 900, "name": "ERLER-2017-HVR-point cloud selection.png", "type": "image/png", "size": 920489, "path": "Publication:ERLER-2017-HVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-point cloud selection.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-point cloud selection:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "ERLER-2017-HVR-poster.pdf", "type": "application/pdf", "size": 6221471, "path": "Publication:ERLER-2017-HVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ERLER-2017-HVR-thesis.pdf", "type": "application/pdf", "size": 15825861, "path": "Publication:ERLER-2017-HVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/", "__class": "Publication" }, { "id": "Purgathofer-2017-VC-Interface", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Computing als Interface zur Entscheidungsunterstützung", "date": "2017-07-04", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2017-07-04", "event": "RailTec 4.0 Workshop", "location": "Wien", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Purgathofer-2017-VC-Interface/", "__class": "Publication" }, { "id": "Kovacs_2017", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Shadow Volumes in Unreal Engine 4", "date": "2017-06-25", "abstract": "The presented bachelor thesis project explores the possibilities of implementing custom lighting techniques in a state-of-the-art game engine.\nSpecifically, Unreal Engine 4 is analyzed for the feasibility of implementing shadow\nvolumes in a shader-centric plugin. The thesis discusses the theoretical and practical background of Unreal Engine and\nof shadow volumes, and provides detailed information on every implementation step. It shows the challenges of customization and the results achieved.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1141, "image_height": 572, "name": "Kovacs_2017-image.jpg", "type": "image/jpeg", "size": 42348, "path": "Publication:Kovacs_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kovacs_2017/Kovacs_2017-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kovacs_2017/Kovacs_2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1487 ], "date_end": "2017-06-25", "date_start": "2017-01-25", "matrikelnr": "1227520", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Kovacs_2017-Bachelor Thesis.pdf", "type": "application/pdf", "size": 5330718, "path": "Publication:Kovacs_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kovacs_2017/Kovacs_2017-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kovacs_2017/Kovacs_2017-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1141, "image_height": 572, "name": "Kovacs_2017-image.jpg", "type": "image/jpeg", "size": 42348, "path": "Publication:Kovacs_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kovacs_2017/Kovacs_2017-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kovacs_2017/Kovacs_2017-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kovacs_2017/", "__class": "Publication" }, { "id": "geymayer-2017-std", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "How Sensemaking Tools Influence Display Space Usage", "date": "2017-06", "abstract": "We explore how the availability of a sensemaking tool influences users’ knowledge externalization strategies. On a large display,\nusers were asked to solve an intelligence analysis task with or without a bidirectionally linked concept-graph (BLC) to organize\ninsights into concepts (nodes) and relations (edges). In BLC, both nodes and edges maintain “deep links” to the exact source\nphrases and sections in associated documents. In our control condition, we were able to reproduce previously described spatial\norganization behaviors using document windows on the large display. When using BLC, however, we found that analysts apply\nspatial organization to BLC nodes instead, use significantly less display space and have significantly fewer open windows.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 805, "image_height": 344, "name": "geymayer-2017-std-image.PNG", "type": "image/png", "size": 604999, "path": "Publication:geymayer-2017-std", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/geymayer-2017-std-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/geymayer-2017-std-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1477, 1110, 1476, 202 ], "booktitle": "EuroVis Workshop on Visual Analytics", "event": "EuroVis 2017", "lecturer": [ 1477 ], "research_areas": [ "InfoVis" ], "keywords": [ "sensemaking", "large displays", "evaluation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 805, "image_height": 344, "name": "geymayer-2017-std-image.PNG", "type": "image/png", "size": 604999, "path": "Publication:geymayer-2017-std", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/geymayer-2017-std-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/geymayer-2017-std-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "geymayer-2017-std-paper.pdf", "type": "application/pdf", "size": 1117995, "path": "Publication:geymayer-2017-std", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/geymayer-2017-std-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/geymayer-2017-std-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/", "__class": "Publication" }, { "id": "Escribano_2017", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Visual Evaluation of Computational Models of the Biological Mesoscale", "date": "2017-06", "abstract": "Currently available techniques for capturing macromolecules on atomic level are not appropriate for large structures on the biological mesoscale. Therefore, those structures, such as viruses or cell organelles, have to be assembled from molecular building blocks using software tools. The goal of recent projects like cellPACK is to create models with these tools, allowing the scientific community to iteratively give feedback and edit the models, in order to eventually generate the most suitable illustration consistent with the current state of knowledge. For that purpose, we need to discern the values for properties like distribution, density or opacity that make a model preferable to others. \nThis thesis aims to create a software program for visual evaluation of the quality of the assembled structures. The program will extract the information about the quality of spatial distribution of molecules in the scenes produced by packing tools and plot it into a set of 2D representations. These will convey the statistical information about the distribution and enable the visual comparison of generated models, which vary not only due to the stochastic nature of the packing algorithms but also because of the use of different parameter settings.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 813, "image_height": 441, "name": "Escribano_2017-image.jpg", "type": "image/jpeg", "size": 76644, "path": "Publication:Escribano_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Escribano_2017/Escribano_2017-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Escribano_2017/Escribano_2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1417 ], "date_end": "2017-06", "date_start": "2017-11", "matrikelnr": "01635324", "supervisor": [ 1285, 935 ], "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 813, "image_height": 441, "name": "Escribano_2017-image.jpg", "type": "image/jpeg", "size": 76644, "path": "Publication:Escribano_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Escribano_2017/Escribano_2017-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Escribano_2017/Escribano_2017-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Escribano_2017-thesis.pdf", "type": "application/pdf", "size": 2872837, "path": "Publication:Escribano_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Escribano_2017/Escribano_2017-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Escribano_2017/Escribano_2017-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Escribano_2017/", "__class": "Publication" }, { "id": "CORNEL-2017-FRS", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Forced Random Sampling: fast generation of importance-guided blue-noise samples", "date": "2017-06", "abstract": "In computer graphics, stochastic sampling is frequently used to efficiently approximate complex functions and integrals. The error of approximation can be reduced by distributing samples according to an importance function, but cannot be eliminated completely. To avoid visible artifacts, sample distributions are sought to be random, but spatially uniform, which is called blue-noise sampling. The generation of unbiased, importance-guided blue-noise samples is expensive and not feasible for real-time applications. Sampling algorithms for these applications focus on runtime performance at the cost of having weak blue-noise properties. Blue-noise distributions have also been proposed for digital halftoning in the form of precomputed dither matrices. Ordered dithering with such matrices allows to distribute dots with blue-noise properties according to a grayscale image. By the nature of ordered dithering, this process can be parallelized easily. We introduce a novel sampling method called forced random sampling that is based on forced random dithering, a variant of ordered dithering with blue noise. By shifting the main computational effort into the generation of a precomputed dither matrix, our sampling method runs efficiently on GPUs and allows real-time importance sampling with blue noise for a finite number of samples. We demonstrate the quality of our method in two different rendering applications.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image2", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 3206, "image_height": 1830, "name": "CORNEL-2017-FRS-image2.png", "type": "image/png", "size": 2261746, "path": "Publication:CORNEL-2017-FRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-image2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-image2:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 877, 1129, 659, 193 ], "date_from": "2017-06-27", "date_to": "2017-06-30", "event": "Computer Graphics International 2017", "issn": "1432-2315", "journal": "The Visual Computer", "lecturer": [ 877 ], "location": "Yokohama, Japan", "number": "6", "pages_from": "833", "pages_to": "843", "volume": "33", "research_areas": [ "Rendering" ], "keywords": [ "blue-noise sampling", "importance sampling" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 512, "name": "CORNEL-2017-FRS-image.png", "type": "image/png", "size": 345074, "path": "Publication:CORNEL-2017-FRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-image:thumb{{size}}.png" }, { "description": null, "filetitle": "image2", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 3206, "image_height": 1830, "name": "CORNEL-2017-FRS-image2.png", "type": "image/png", "size": 2261746, "path": "Publication:CORNEL-2017-FRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-image2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-image2:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "CORNEL-2017-FRS-paper.pdf", "type": "binary/octet-stream", "size": 4668674, "path": "Publication:CORNEL-2017-FRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-paper.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "PathSpace", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/", "__class": "Publication" }, { "id": "PODARAS-2017-ACRS", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Automated Classification of Road-Surface Types Based on Crowd-Sourced Data", "date": "2017-05-30", "abstract": "This thesis presents a method to automatically estimate road-surface types based on\ncrowd-sourced and open source data to give cyclists an overview of the road conditions\nalong a cycle route.\n\nAutomatic classification of land-cover has been an active research field in recent years\nand mainly focuses on the classification of areas based on digital satellite and aerial\nimagery. Performing classification of road-surfaces based on such images bears some\nspecial challenges because roads have a width of only a few pixels on these photos, which\nmakes it difficult to successfully apply classical image-analysis methods. Problems are\ncaused by mixed pixels, which do not belong to a single surface class exclusively. Due to\nobjects occluding the street, like for example trees and cars, it is difficult to isolate the\nstreet’s actual surface from the rest of the image. This biases the classification procedure\nand may cause faulty results. Furthermore, aerial images of high spatial resolution are\nonly available with a small range of spectral bands.\n\nThis thesis proposes an alternative approach for road-surface classification by utilizing\nopen source data with a focus on data from the project OpenStreetMap (OSM). OSM\nis an online mapping project which collects geographical data and makes it available\nfreely by providing a digital world map. Data is collected by users on a voluntary basis.\nOSM offers its users the possibility to add various properties to streets by making textual\nannotations. From these so-called tags it is possible to deduce road-surface properties\nfor numerous roads by using methods from pattern recognition. The system is designed\nso it can be extended with additional data from other sources (e.g., height information)\nto improve classification results. Classification takes place at two levels, based on a\ncoarse-to-fine-grained surface taxonomy.\n\nThe method was evaluated on different testing areas in Austria and Liechtenstein. At the\ncoarse-grained level, up to 90% of streets were correctly classified. At the fine-grained\nlevel, up to 60% of streets were correctly classified. The advantage of the proposed\nmethod is that it is fast and applicable to regions worldwide at low cost, as long as\nsufficient OSM data for a certain region is available.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1126, "image_height": 936, "name": "PODARAS-2017-ACRS-image.png", "type": "image/png", "size": 88316, "path": "Publication:PODARAS-2017-ACRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/PODARAS-2017-ACRS-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/PODARAS-2017-ACRS-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1130 ], "date_end": "2017-05-30", "date_start": "2016-06-07", "diploma_examina": "2017-05-30", "matrikelnr": "0605836", "supervisor": [ 193 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1126, "image_height": 936, "name": "PODARAS-2017-ACRS-image.png", "type": "image/png", "size": 88316, "path": "Publication:PODARAS-2017-ACRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/PODARAS-2017-ACRS-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/PODARAS-2017-ACRS-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "PODARAS-2017-ACRS-poster.pdf", "type": "application/pdf", "size": 2635905, "path": "Publication:PODARAS-2017-ACRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/PODARAS-2017-ACRS-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/PODARAS-2017-ACRS-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "PODARAS-2017-ACRS-thesis.pdf", "type": "application/pdf", "size": 13760740, "path": "Publication:PODARAS-2017-ACRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/PODARAS-2017-ACRS-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/PODARAS-2017-ACRS-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/", "__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": "waldner-2017-vph", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Exploring Visual Prominence of Multi-Channel Highlighting in Visualizations", "date": "2017-05", "abstract": "Visualizations make rich use of multiple visual channels so that there are few resources left to make selected focus elements visually\ndistinct from their surrounding context. A large variety of highlighting techniques for visualizations has been presented in the past,\nbut there has been little systematic evaluation of the design space of highlighting. We explore highlighting from the perspective\nof visual marks and channels – the basic building blocks of visualizations that are directly controlled by visualization designers.\nWe present the results from two experiments, exploring the visual prominence of highlighted marks in scatterplots: First, using\nluminance as a single highlight channel, we found that visual prominence is mainly determined by the luminance difference between\nthe focus mark and the brightest context mark. The brightness differences between context marks and the overall brightness level\nhave negligible influence. Second, multi-channel highlighting using luminance and blur leads to a good trade-off between highlight\neffectiveness and aesthetics. From the results, we derive a simple highlight model to balance highlighting across multiple visual\nchannels and focus and context marks, respectively.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 160, "image_height": 124, "name": "waldner-2017-vph-.png", "type": "image/png", "size": 20447, "path": "Publication:waldner-2017-vph", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1110, 925, 166 ], "booktitle": "Spring Conference on Computer Graphics 2017", "lecturer": [ 1110 ], "research_areas": [ "InfoVis", "Perception" ], "keywords": [ "information visualization", "highlighting", "focus+context", "visual prominence" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 160, "image_height": 124, "name": "waldner-2017-vph-.png", "type": "image/png", "size": 20447, "path": "Publication:waldner-2017-vph", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "waldner-2017-vph-paper.pdf", "type": "application/pdf", "size": 1851221, "path": "Publication:waldner-2017-vph", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-paper:thumb{{size}}.png" }, { "description": "Details about experiment design and results. ", "filetitle": "supplemental material", "main_file": false, "use_in_gallery": false, "access": "public", "name": "waldner-2017-vph-supplemental material.pdf", "type": "application/pdf", "size": 1396255, "path": "Publication:waldner-2017-vph", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-supplemental material.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-supplemental material:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/", "__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": "Ganuza-2017-IVCSGM", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Interactive Visual Categorization of Spinel-Group Minerals", "date": "2017-05", "abstract": "Spinel-group minerals are excellent indicators of geological environments and are of invaluable help in the search for mineral\ndeposits of economic interest. The geologists analyze them by means of Barnes and Roeder’s contours. In this paper, we present a\ncollection of novel, interactive methods, which assist geologists in the categorization of spinel-group minerals. We fully integrate\nBarnes and Roeder’s contours using a polygonal representation. This makes it possible to efficiently superimpose user-provided point\ndata over the contours, and to automatically rank the contours based on the number of enclosed points. We also allow the expert to\ncreate contours for the user-provided point data. Once user contours are created, they can be compared with Barnes and Roeder’s\ncontours. During the analysis, the user can drill-down by means of brushing. As we deal with specific data, we apply two novel\nbrushing techniques, i.e., the percentile brush and the contour brush. The novel brushing mechanisms along with the interactive\ncomparison speed-up the analysis significantly. We evaluate the newly introduced approach and the resulting novel workflow using\nreal-word data from different locations in Argentina. According to the domain experts, the classification of spinel minerals needs\nseveral minutes now, while it took a few days with the current state of the art approach in the domain.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1228, 1229, 1233, 408, 1232, 166, 235 ], "booktitle": "Proceedings of the 33rd Spring Conference on Computer Graphics (SCCG 2017)", "event": "33rd Spring Conference on Computer Graphics (SCCG 2017)", "lecturer": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Ganuza-2017-IVCSGM-paper.pdf", "type": "application/pdf", "size": 3367249, "path": "Publication:Ganuza-2017-IVCSGM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza-2017-IVCSGM/Ganuza-2017-IVCSGM-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza-2017-IVCSGM/Ganuza-2017-IVCSGM-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza-2017-IVCSGM/", "__class": "Publication" }, { "id": "Waldin_Nicholas_2017_FlickerObserver", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Flicker Observer Effect: Guiding Attention Through High Frequency Flicker in Images", "date": "2017-05", "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 can also be very salient, but is often perceived as annoying. In this paper, we explore high frequency flicker (60 to 72 Hz) to guide the user's attention in an image. 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. Through experiments, we show that high frequency flicker 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. In an uncalibrated visual search task, users could in a crowded image easily spot the specified search targets flickering with very high frequency. They also reported that high frequency flicker was distracting when they had to attend to another region, while it was hardly noticeable when looking at the flickering region itself.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1461, 1110, 171 ], "date_from": "2014", "date_to": "2017", "event": "Eurographics 2017", "journal": "Computer Graphics Forum", "lecturer": [ 1339 ], "number": "2", "pages_from": "467", "pages_to": "476", "volume": "36", "research_areas": [ "Perception" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Waldin_Nicholas_2017_FlickerObserver-paper.pdf", "type": "application/pdf", "size": 6348247, "path": "Publication:Waldin_Nicholas_2017_FlickerObserver", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Waldin_Nicholas_2017_FlickerObserver/Waldin_Nicholas_2017_FlickerObserver-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Waldin_Nicholas_2017_FlickerObserver/Waldin_Nicholas_2017_FlickerObserver-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "deskollage", "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Waldin_Nicholas_2017_FlickerObserver/", "__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": "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": "kouril-2017-sccgposter", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Maya2cellVIEW: Integrated Tool for Creating Large and Complex Molecular Scenes", "date": "2017-05", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 3789, "image_height": 2013, "name": "kouril-2017-sccgposter-teaser.png", "type": "image/png", "size": 285215, "path": "Publication:kouril-2017-sccgposter", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2017-sccgposter/kouril-2017-sccgposter-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2017-sccgposter/kouril-2017-sccgposter-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1383, 1189, 1248, 171 ], "date_from": "2017-05", "date_to": "2017-05", "event": "Spring Conference on Computer Graphics 2017", "research_areas": [ "BioVis", "Modeling" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "kouril-2017-sccgposter-poster.pdf", "type": "application/pdf", "size": 6909053, "path": "Publication:kouril-2017-sccgposter", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2017-sccgposter/kouril-2017-sccgposter-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2017-sccgposter/kouril-2017-sccgposter-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 3789, "image_height": 2013, "name": "kouril-2017-sccgposter-teaser.png", "type": "image/png", "size": 285215, "path": "Publication:kouril-2017-sccgposter", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2017-sccgposter/kouril-2017-sccgposter-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2017-sccgposter/kouril-2017-sccgposter-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2017-sccgposter/", "__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": "Gehrer-2017", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Visualization of molecular machinery using agent-based animation", "date": "2017-04-21", "abstract": "This work proposes an agent-based model for animating molecular machines. Usually\nmolecular machines are visualized using key-frame animation. Creating large molecular assemblies with key-frame animation in standard 3D software can be a tedious task, because hundreds or thousands of molecular particles have to be animated by hand, considering various biological phenomena. To avoid repetitive animation of molecular particles, a prototypic framework is implemented, that employs an agent-based approach. Instead of animating the molecular particles directly, the framework utilizes behavior descriptions for each type of molecular particle. The animation results from the molecular particles interacting with each other as defined by their behavior. Interaction between\nmolecular particles is enabled by an abstract model that is implemented by the framework.\nThe methodology for creating the framework was driven through learning by example.\nThree molecular machines are visualized using the framework. During this process, the framework was iteratively improved, to meet the requirements for each new molecular machine. The resulted animations demonstrate that agent-based animation is a viable option for molecular machines.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 419, "image_height": 303, "name": "Gehrer-2017-image.JPG", "type": "image/jpeg", "size": 33437, "path": "Publication:Gehrer-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017/Gehrer-2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017/Gehrer-2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1194 ], "date_end": "2017-04-21", "date_start": "2016-06-01", "matrikelnr": "1125229", "supervisor": [ 171 ], "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 419, "image_height": 303, "name": "Gehrer-2017-image.JPG", "type": "image/jpeg", "size": 33437, "path": "Publication:Gehrer-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017/Gehrer-2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017/Gehrer-2017-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Gehrer-2017-Master thesis.pdf", "type": "application/pdf", "size": 20514839, "path": "Publication:Gehrer-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017/Gehrer-2017-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017/Gehrer-2017-Master thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017/", "__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": "Winkler-2017", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Collaborative Procedural Modeling driven by User Feedback", "date": "2017-04-19", "abstract": "In this work a user centered procedural modeling framework is proposed which combines rule based content generation with the concepts of recommendation systems. Using the ACGAX modeling language, artists are able to write grammar scripts for the creation of diverse and complex 3D scenes, controlled with a simple goal notation. These scripts are evaluated and executed by the system to generate 3D-shapes using stored production rules from the cloud. The rule selection process is based on content based information filtering systems to create results matching the user’s preferences. User feedback is collected in a way that integrates explicit feedback into the modeling work flow via manual locking operations. These actions allow users to directly control the derivation\nprocess of grammars by fixing certain parts of the derivation tree. The goal of this\nresearch is not only to create a modeling tool, but a growing database of grammars,\nrules and feedback records. By observing how users interact with the grammars, the\nsystem learns which rules are most suitable for certain goals. The proposed system\nis designed to to learn from a user’s actions to improve the cloud based rule selection process for future modeling tasks.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 252, "image_height": 214, "name": "Winkler-2017-image.JPG", "type": "image/jpeg", "size": 14078, "path": "Publication:Winkler-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Winkler-2017/Winkler-2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Winkler-2017/Winkler-2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1422 ], "date_end": "2017-04-19", "date_start": "2016-10-01", "matrikelnr": "1129264", "supervisor": [ 193, 1303 ], "research_areas": [ "Modeling" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 252, "image_height": 214, "name": "Winkler-2017-image.JPG", "type": "image/jpeg", "size": 14078, "path": "Publication:Winkler-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Winkler-2017/Winkler-2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Winkler-2017/Winkler-2017-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Winkler-2017-thesis.pdf", "type": "application/pdf", "size": 474553, "path": "Publication:Winkler-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Winkler-2017/Winkler-2017-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Winkler-2017/Winkler-2017-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Winkler-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": "Ganuza", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Visualización y Realidad Aumentada en el Campo de las Ciencias Geológicas", "date": "2017-04", "abstract": "En el campo de las Ciencias Geológicas, un desafío importante consiste en encontrar una representación adecuada de una gran cantidad de datos de distintos tipos, que abarcan análisis de muestras minerales, datos topográficos, proyecciones cartográficas, datos geofísicos, entre otros. La exploración y análisis de estos datos requiere un soporte visual adecuado. Por otra parte, es importante la asistencia de dispositivos móviles al momento de adquirir estos datos en el trabajo de campo. En esta línea de investigación se está trabajando en el diseño y la generación de visualizaciones y de sistemas que las soporten con el objetivo de asistir al geólogo en varias de sus tareas habituales. Por un lado, una sub-línea se refiere a la visualización de datos geológicos que provean un soporte adecuado para la exploración eficiente de distintos conjuntos de datos de micro-química. Por otro, se trabaja en incorporar visualizaciones que asistan al geólogo en la obtención de datos geológicos en el trabajo de campo; esto se lleva a cabo mediante el uso de tecnología de Realidad Aumentada y el uso de dispositivos móviles.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 446, "image_height": 236, "name": "Ganuza-image.JPG", "type": "image/jpeg", "size": 21870, "path": "Publication:Ganuza", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/Ganuza-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/Ganuza-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1228, 1536, 1537, 408, 1232, 1233, 1229, 235, 166 ], "research_areas": [], "keywords": [], "weblinks": [ { "href": "http://sedici.unlp.edu.ar/handle/10915/61871", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 446, "image_height": 236, "name": "Ganuza-image.JPG", "type": "image/jpeg", "size": 21870, "path": "Publication:Ganuza", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/Ganuza-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/Ganuza-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Ganuza-paper.pdf", "type": "application/pdf", "size": 993131, "path": "Publication:Ganuza", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/Ganuza-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/Ganuza-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/", "__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": "rraidou_EG17", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visual Analytics for Digital Radiotherapy: Towards a Comprehensible Pipeline", "date": "2017-04", "abstract": "Prostate cancer is one of the most frequently occurring types of cancer in males. It is often treated with radiation therapy,which aims at irradiating tumors with a high dose, while sparing the surrounding healthy tissues. In the course of the years,radiotherapy technology has undergone great advancements. However, tumors are not only different from each other, theyare also highly heterogeneous within, consisting of regions with distinct tissue characteristics, which should be treated withdifferent radiation doses. Tailoring radiotherapy planning to the specific needs and intra-tumor tissue characteristics of eachpatient is expected to lead to more effective treatment strategies. Currently, clinical research is moving towards this direction,but an understanding of the specific tumor characteristics of each patient, and the integration of all available knowledge into apersonalizable radiotherapy planning pipeline are still required. The present work describes solutions from the field of VisualAnalytics, which aim at incorporating the information from the distinct steps of the personalizable radiotherapy planningpipeline, along with eventual sources of uncertainty, into comprehensible visualizations. All proposed solutions are meantto increase the – up to now, limited – understanding and exploratory capabilities of clinical researchers. These approachescontribute towards the interactive exploration, visual analysis and understanding of the involved data and processes at differentsteps of the radiotherapy planning pipeline, creating a fertile ground for future research in radiotherapy planning.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image2", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 273, "image_height": 142, "name": "rraidou_EG17-image2.JPG", "type": "image/jpeg", "size": 16034, "path": "Publication:rraidou_EG17", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-image2.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-image2:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410, 679, 459 ], "booktitle": "Computer Graphics Forum (Proceedings of Eurographics)", "journal": "Computer Graphics Forum (Proceedings of Eurographics)", "lecturer": [ 161, 951 ], "volume": "36", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image2", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 273, "image_height": 142, "name": "rraidou_EG17-image2.JPG", "type": "image/jpeg", "size": 16034, "path": "Publication:rraidou_EG17", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-image2.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-image2:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 198, "preview_image_height": 35, "name": "rraidou_EG17-Paper.pdf", "type": "application/pdf", "size": 171052, "path": "Publication:rraidou_EG17", "preview_name": "rraidou_EG17-Paper:preview.png", "preview_type": "image/png", "preview_size": 11846, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-Paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "rraidou_EG17-Video.mp4", "type": "video/mp4", "size": 291963837, "path": "Publication:rraidou_EG17", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-Video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-Video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/", "__class": "Publication" }, { "id": "rraidou_phdbook", "type_id": "book", "tu_id": null, "repositum_id": null, "title": "Visual Analytics for Digital Radiotherapy: Towards a Comprehensible Pipeline.", "date": "2017-03-29", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "rraidou_phdbook-.pdf", "type": "application/pdf", "size": 22111641, "path": "Publication:rraidou_phdbook", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_phdbook/rraidou_phdbook-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_phdbook/rraidou_phdbook-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410 ], "isbn": "ISBN987-90-386-4230-7", "open_access": "yes", "pages": "1-240", "publisher": "TU Eindhoven", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [ { "href": "http://repository.tue.nl/858251", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "rraidou_phdbook-.pdf", "type": "application/pdf", "size": 22111641, "path": "Publication:rraidou_phdbook", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_phdbook/rraidou_phdbook-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_phdbook/rraidou_phdbook-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_phdbook/", "__class": "Publication" }, { "id": "Mitterhofer_2017", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Modeling Microorganisms", "date": "2017-03-23", "abstract": "Modeling of microorganisms is a cumbersome task, when biologists want to create a\nvisual representation of a certain microorganism. To correctly model structures on atomic resolution, each molecule (for example proteins and lipids) has to be placed at its correct position. For microorganisms of larger dimensions the modeling process takes a very long time, at this point an improved modeling approach is required. It would be possible to create a rule-based modeling approach, but usually rules restrict the final outcome and\nproduces repeating patterns. Therefore a tool that places molecules based on statistical evaluations and foresight was the main idea behind this project. The tool should allow for modeling complex organisms on molecular resolution by placing a minimal amount of examples and generalizing similar entities. A decision tree as learning structure evaluates the user’s actions, learns from them and reorganizes the whole structure. With this approach the user should be able to model complex cellular structures in as few steps as\npossible, also more complex actions, such as orientation towards a certain reference point, clusters, varying distribution united a real-time editor should improve the modeling task significantly.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 280, "image_height": 189, "name": "Mitterhofer_2017-image.JPG", "type": "image/jpeg", "size": 30988, "path": "Publication:Mitterhofer_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mitterhofer_2017/Mitterhofer_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mitterhofer_2017/Mitterhofer_2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1386 ], "date_end": "2017-03-23", "date_start": "2016-10-12", "matrikelnr": "1226847", "supervisor": [ 171 ], "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Mitterhofer_2017-Bachelor Thesis.pdf", "type": "application/pdf", "size": 20946273, "path": "Publication:Mitterhofer_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mitterhofer_2017/Mitterhofer_2017-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mitterhofer_2017/Mitterhofer_2017-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 280, "image_height": 189, "name": "Mitterhofer_2017-image.JPG", "type": "image/jpeg", "size": 30988, "path": "Publication:Mitterhofer_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mitterhofer_2017/Mitterhofer_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mitterhofer_2017/Mitterhofer_2017-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mitterhofer_2017/", "__class": "Publication" }, { "id": "reinwald-2017-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Fast kNN in Screen Space on GPU", "date": "2017-03-20", "abstract": "A common problem in computer science is to construct a spatial data structure (octree, kd-tree) and use it to search for k-nearest neighbors (kNN). In surface reconstruction from dynamic points (real-time), both construction and search time are critical. As points on a surface are a sparse distribution in 3D, this can be exploited by mapping them into screen space (2D), as shown in \"Auto-splats\" (Preiner 2012). Our approach is to also exploit spatial coherence in screen space to find kNN for points. The performance is maximized by a CUDA implementation designed to minimize memory-boundness. An preliminary implementation exists which constructs a packed quadtree and reads kNN from a quadtree node density estimate. A few improvements have to be made to optimize performance and to analyze results.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 637, "image_height": 602, "name": "reinwald-2017-baa-image.png", "type": "image/png", "size": 398232, "path": "Publication:reinwald-2017-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/reinwald-2017-baa/reinwald-2017-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/reinwald-2017-baa/reinwald-2017-baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1420 ], "date_end": "2019-03-12", "date_start": "2017-03-21", "matrikelnr": "1126981", "note": "1", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "k-nearest neighbors", "surface reconstruction", "parallel optimization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 637, "image_height": 602, "name": "reinwald-2017-baa-image.png", "type": "image/png", "size": 398232, "path": "Publication:reinwald-2017-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/reinwald-2017-baa/reinwald-2017-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/reinwald-2017-baa/reinwald-2017-baa-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "reinwald-2017-baa-thesis.pdf", "type": "application/pdf", "size": 2988235, "path": "Publication:reinwald-2017-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/reinwald-2017-baa/reinwald-2017-baa-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/reinwald-2017-baa/reinwald-2017-baa-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "ShapeAcquisition" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/reinwald-2017-baa/", "__class": "Publication" }, { "id": "Heim-2017", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Semiautomated Editing of Vessel Segmentation Masks", "date": "2017-03", "abstract": "This thesis describes a technique for editing segmentation results of vessels, which should enhance usage and reduce work duration for physicians by using a simple and fast way of interaction. Moreover also a quick calculation of an accurate result was of primary interest. Since vascular structures are vulnerable to diseases, vessels are the main focus of this thesis. Nowadays, Image Analysis is able to facilitate the medical diagnosis procedure.\nSince stroke treatment is time-crucial, appropriate algorithms should be fast and enable an accurate depiction of the arteries to simplify the diagnostic process. However, because automatic segmentation is often quite inaccurate and manual segmentation is tedious, neither of these two methods alone is often adequate for usage. Because of this we suggest to combine the fast automatic segmentation and the exact manual editing done by clinical experts. To reduce effort and working time of the medical staff, this thesis describes different techniques, which were developed to modify and, more importantly, to improve\nthe segmentation results. The segmentation mask can be altered as its components can be separately removed and independent elements can be connected. A framework was implemented, with which a user is able to perform these tasks interactively. The deletion process is supported by various metrics, which enable the search and removal of similar structures. Also this framework assists the reconnection of vessels by finding the most likely connection by the means of image intensities and their gradients. The main goal of this thesis was to facilitate and accelerate the editing process by implementing fast semi-automatic algorithms. Intuitive interaction methods also had a major impact on the design.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 463, "image_height": 400, "name": "Heim-2017-image.JPG", "type": "image/jpeg", "size": 41540, "path": "Publication:Heim-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Heim-2017/Heim-2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Heim-2017/Heim-2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1354 ], "date_end": "2017-03-08", "date_start": "2016-10-01", "matrikelnr": "1226809", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Heim-2017-Bachelor Thesis.pdf", "type": "application/pdf", "size": 6896211, "path": "Publication:Heim-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Heim-2017/Heim-2017-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Heim-2017/Heim-2017-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 463, "image_height": 400, "name": "Heim-2017-image.JPG", "type": "image/jpeg", "size": 41540, "path": "Publication:Heim-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Heim-2017/Heim-2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Heim-2017/Heim-2017-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Heim-2017/", "__class": "Publication" }, { "id": "Gall_2017", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Comparison of Vessel Segmentation Techniques", "date": "2017-03", "abstract": "Image segmentation is an important processing step in various applications and crucial in the medical field. When a new segmentation technique is introduced, validation and evaluation are essential for medical image analysis. But the automation of these processes is still not sufficient. Many algorithms have been published but there is still no satisfying way to assess whether an algorithm produces more accurate segmentations than another. More effort is spent on the development of algorithms than on their evaluation and therefore many researchers use the less complex subjective methods. For these techniques multiple experts are needed to visually compare several segmentation results, which is a very time-consuming process. Another way of comparing different results is the supervised evaluation method. Here we need experts, who manually segment reference images, which are used for comparison. As seen in recent researches there is a need for unsupervised methods due to many applications, in which user assistance is\ninfeasible. The aim of this thesis is to provide an environment to visually and objectively evaluate segmentation results in the field of vessel segmentations. Our framework enables the comparison at voxel-level with various visualization techniques and objective measurements. These methods are meant to make the comparison more understandable for users. A subjective evaluation is realized through a comparative visualization by using a two- and three-dimensional comparison of voxels. Another general overview is provided by a maximum-intensity projection, which highlights the vessel structure. As purely\nobjective evaluation technique, various metrics are used, to assure independence from experts or a ground truth. By using these techniques this paper presents an approach for evaluating differences in medical images, which does not rely on a permanent presence of an expert.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 273, "image_height": 208, "name": "Gall_2017-image.JPG", "type": "image/jpeg", "size": 14192, "path": "Publication:Gall_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gall_2017/Gall_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gall_2017/Gall_2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1355 ], "date_end": "2017-03-08", "date_start": "2016-10-01", "matrikelnr": "1225540", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Gall_2017-Bachelor Thesis.pdf", "type": "application/pdf", "size": 13262337, "path": "Publication:Gall_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gall_2017/Gall_2017-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gall_2017/Gall_2017-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 273, "image_height": 208, "name": "Gall_2017-image.JPG", "type": "image/jpeg", "size": 14192, "path": "Publication:Gall_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gall_2017/Gall_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gall_2017/Gall_2017-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gall_2017/", "__class": "Publication" }, { "id": "Walch-2017-DA", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Lens Flare Prediction based on Measurements with Real-Time Visualization", "date": "2017-03", "abstract": "Lens flare is a visual phenomenon caused by interreflection of light within a lens system.\nThis effect is often undesired, but it gives rendered images a realistic appearance. In the\narea of computer graphics, several simulation based approaches have been presented to\nrender lens flare for a given spherical lens system. An accurate model of the lens system\nand all its components is crucial for a physically reliable result. Since the effect differs\nfrom camera to camera, these methods are not flexible, and the internal parameters –\nespecially the anti-reflection coatings – can only be approximated.\nIn this thesis we present a novel workflow for generating physically plausible renderings\nof lens flare phenomena by analyzing the lens flares captured on a camera. Furthermore,\nour method allows to predict the occurrence of lens flares for a given light setup. This\nis an often requested feature in light planning applications in order to efficiently avoid\nlens flare prone light positioning. A model with a tight parameter set and a GPU-based\nrendering method allows our method to be used in real-time applications.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 902, "image_height": 602, "name": "Walch-2017-DA-.png", "type": "image/png", "size": 122007, "path": "Publication:Walch-2017-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1494 ], "date_end": "2017", "date_start": "2016", "matrikelnr": "0926780", "supervisor": [ 190 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 902, "image_height": 602, "name": "Walch-2017-DA-.png", "type": "image/png", "size": 122007, "path": "Publication:Walch-2017-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Walch-2017-DA-poster.pdf", "type": "application/pdf", "size": 556129, "path": "Publication:Walch-2017-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Walch-2017-DA-thesis.pdf", "type": "application/pdf", "size": 2171946, "path": "Publication:Walch-2017-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/", "__class": "Publication" }, { "id": "Wagner_032017", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "3D-Printing of Fetal Ultrasound", "date": "2017-03", "abstract": "3D printing has been used industrially for decades. It enables rapid prototyping while\nmaintaining low costs. Personal 3D printing became popular approximately since 2011.\nSince the massive arise of public interest, 3D printers are getting more and more affordable.\nIn this thesis, we show how fetal 3D ultrasound data can be processed to enable 3D printing. Major steps are classification of the tissues, extraction of the isosurface and mesh-smoothing. Our approach uses thresholding, in combination with Connected Component Analysis, to separate the mother tissues from the fetal tissues. From the labeled data, we extract the fetal surface using Marching Tetrahedra. The mesh is then smoothed and converted into a data format suitable for 3D printing. Depending on the quality of the given ultrasound data, we can generate a model with recognizable facial features and peripheral structures.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 220, "image_height": 290, "name": "Wagner_032017-image.JPG", "type": "image/jpeg", "size": 16866, "path": "Publication:Wagner_032017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wagner_032017/Wagner_032017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wagner_032017/Wagner_032017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1350 ], "date_end": "2017-03-17", "date_start": "2016-10-01", "matrikelnr": "1326108", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Wagner_032017-Bachelor Thesis.pdf", "type": "application/pdf", "size": 5193004, "path": "Publication:Wagner_032017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wagner_032017/Wagner_032017-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wagner_032017/Wagner_032017-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 220, "image_height": 290, "name": "Wagner_032017-image.JPG", "type": "image/jpeg", "size": 16866, "path": "Publication:Wagner_032017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wagner_032017/Wagner_032017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wagner_032017/Wagner_032017-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wagner_032017/", "__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": "amirkhanov-2017-cffet", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Comparison of Final Fracture Extraction Techniques for Interrupted In situ Tensile Tests of Glass Fiber Reinforced Polymers", "date": "2017-02", "abstract": "To develop and optimize of advanced composite materials such as glass fiber reinforced polymers (GFRPs) for a specific application area is an important topic. To inspect mechanical properties of GFRPs, material engineers use interrupted in situ tensile tests. During these tests, a test specimen is scanned multiple times in an industrial computed tomography (CT) scanner under various loads, starting from no load until the final fracture of the specimen. In this work we focus on the final step of the interrupted in situ tensile test, which is scanned when the specimen is completely losing its structural integrity in the final fracture zone. The defects occurring in the subsequent loading stages merge and ultimately form the final fracture. For this reason, conventional techniques tend to generate error prone final fracture regions or surfaces and thus require more advanced algorithms for extraction. The main contribution of this paper is found in the comparison of different techniques for extracting the final fracture. In the comparison we outline advantages and drawbacks of the presented techniques relative to each other.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1170, 790, 571, 611, 166 ], "booktitle": "Proceedings of 7th Conference on Industrial Computed Tomography , Leuven , Belgium (iCT 2017) ", "lecturer": [ 1170 ], "research_areas": [], "keywords": [], "weblinks": [ { "href": "http://www.ndt.net/?id=20873", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "amirkhanov-2017-cffet-paper.pdf", "type": "application/pdf", "size": 723780, "path": "Publication:amirkhanov-2017-cffet", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/amirkhanov-2017-cffet/amirkhanov-2017-cffet-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/amirkhanov-2017-cffet/amirkhanov-2017-cffet-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/amirkhanov-2017-cffet/", "__class": "Publication" }, { "id": "SCHWAERZLER-2017-SBGM", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Sketch-based Guided Modeling of 3D Buildings from Oriented Photos", "date": "2017-02", "abstract": "Capturing urban scenes using photogrammetric methods has become an interesting alternative to laser scanning in the past years. For the reconstruction of CAD-ready 3D models, two main types of interactive approaches have become prevalent: One uses the generated 3D point clouds to reconstruct polygonal surfaces, while the other focuses on 2D interaction in the photos to define edges and faces.\n\nWe propose a novel interactive system that combines and enhances these approaches in order to optimize current reconstruction and modeling workflows. Our main interaction target are the photos, allowing simple 2D interactions and edge-based snapping. We use the underlying segmented point cloud to define the 3D context in which the sketched polygons are projected whenever possible. An intuitive visual guiding interface gives the user feedback on the accuracy to expect with the current state of modeling to keep the necessary interactions at a minimum level.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 497, "name": "SCHWAERZLER-2017-SBGM-teaser.png", "type": "image/png", "size": 337632, "path": "Publication:SCHWAERZLER-2017-SBGM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/SCHWAERZLER-2017-SBGM-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/SCHWAERZLER-2017-SBGM-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 678, 1466, 228, 193 ], "booktitle": "Proceedings of the 21st ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games", "date_from": "2017-02-25", "date_to": "2017-02-27", "event": "I3D 2017", "isbn": "978-1-4503-4886-7", "lecturer": [ 1466 ], "location": "San Francisco, CA", "pages_from": "9:1", "pages_to": "9:8", "publisher": "ACM", "research_areas": [ "Modeling" ], "keywords": [ "3D modeling", "guidance", "photogrammetry" ], "weblinks": [], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "SCHWAERZLER-2017-SBGM-draft.pdf", "type": "application/pdf", "size": 36126759, "path": "Publication:SCHWAERZLER-2017-SBGM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/SCHWAERZLER-2017-SBGM-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/SCHWAERZLER-2017-SBGM-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 497, "name": "SCHWAERZLER-2017-SBGM-teaser.png", "type": "image/png", "size": 337632, "path": "Publication:SCHWAERZLER-2017-SBGM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/SCHWAERZLER-2017-SBGM-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/SCHWAERZLER-2017-SBGM-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis", "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/", "__class": "Publication" }, { "id": "rao-2017-dc", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Damage characterization in SFRP using X-ray computed tomography after application of incremental and interrupted in situ quasi static tensile loading", "date": "2017-02", "abstract": "The use of short fibre reinforced polymers (SFRP) is increasing steadily in automotive and aerospace industries due to its mechanical properties and light weight. The mechanical and physical properties of SFRP depend on the geometrical characterestics of the reinforcing material. Under tensile stress many defects are induced in SFRP composites. X-ray computed tomography (XCT) is a non-destructive method for damage characterization of SFRP. It helps us to understand the material behaviour under different intermediate stress conditions and gauge the strength of the material. This paper aims to study the evolution of various damages in SFRP composite material. The composite consists of a polyamide matrix and 30 wt. % of short glass fibres. Sheets with two types of fibre orientation (0° and 90°) were chosen relative to the flow direction. The damages were induced after application of pre-determined tensile loads in a quasi-static method using an in situ tensile testing device.The tensile force was applied using controlled displacement inside the in situ device. Damages were analysed after every step of force application using XCT at the resolution of 4.5 µm3 voxel size. The workflow based on automatic fibre extraction followed by automated defect detection and classification was used to retrieve quantitative results of the damage evolution. The detected defects were analysed and classified into four types: 1) fibre pull-outs, 2) fibre fractures, 3) matrix fractures and 4) fibre/matrix debonding. The increase in tensile force shows changes in the number and volume of the defects. The classification of defects at every step after applying force helps to understand evolution of damage mechanisms in the stressed region.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1421, 1170, 790, 571, 611 ], "booktitle": "Proceedings of 7th Conference on Industrial Computed Tomography , Leuven , Belgium (iCT 2017)", "lecturer": [ 1421 ], "research_areas": [], "keywords": [], "weblinks": [ { "href": "http://www.ndt.net/?id=20838", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "rao-2017-dc-paper.pdf", "type": "application/pdf", "size": 1132321, "path": "Publication:rao-2017-dc", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rao-2017-dc/rao-2017-dc-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/rao-2017-dc/rao-2017-dc-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rao-2017-dc/", "__class": "Publication" }, { "id": "JAHRMANN-2017-RRTG", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Responsive Real-Time Grass Rendering for General 3D Scenes", "date": "2017-02", "abstract": "Grass plays an important role in most natural environments. Most interactive applications use image-based techniques to approximate fields of grass due to the high geometrical complexity, leading to visual artifacts. In this paper, we propose a grass-rendering technique that is capable of drawing each blade of grass as geometrical object in real time. Accurate culling methods together with an adaptable rendering pipeline ensure that only the blades of grass that are important for the visual appearance of the field of grass are rendered. In addition, we introduce a physical model that is evaluated for each blade of grass. This enables that a blade of grass can react to its environment by calculating the influence of gravity, wind and collisions. A major advantage of our approach is that it can render fields of grass of arbitrary shape and spatial alignment. Thus, in contrast to previous work, the blades of grass can be placed on any 3D model, which is not required to be a flat surface or a height map.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 251, "name": "JAHRMANN-2017-RRTG-teaser.jpg", "type": "image/jpeg", "size": 97586, "path": "Publication:JAHRMANN-2017-RRTG", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JAHRMANN-2017-RRTG/JAHRMANN-2017-RRTG-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/JAHRMANN-2017-RRTG/JAHRMANN-2017-RRTG-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1009, 193 ], "booktitle": "Proceedings of the 21st ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games", "date_from": "2017-02-25", "date_to": "2017-02-27", "event": "I3D 2017", "isbn": "978-1-4503-4886-7", "lecturer": [ 1009 ], "location": "San Francisco, CA", "pages_from": "6:1", "pages_to": "6:10", "publisher": "ACM", "research_areas": [ "Rendering" ], "keywords": [ "real-time rendering", "grass rendering", "hardware tessellation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "JAHRMANN-2017-RRTG-draft.pdf", "type": "application/pdf", "size": 10999422, "path": "Publication:JAHRMANN-2017-RRTG", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JAHRMANN-2017-RRTG/JAHRMANN-2017-RRTG-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/JAHRMANN-2017-RRTG/JAHRMANN-2017-RRTG-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 251, "name": "JAHRMANN-2017-RRTG-teaser.jpg", "type": "image/jpeg", "size": 97586, "path": "Publication:JAHRMANN-2017-RRTG", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JAHRMANN-2017-RRTG/JAHRMANN-2017-RRTG-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/JAHRMANN-2017-RRTG/JAHRMANN-2017-RRTG-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JAHRMANN-2017-RRTG/", "__class": "Publication" }, { "id": "Eckelt_2017", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Vascular Printing - 3D Printing of Aortic Dissections", "date": "2017-01-31", "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": 361, "image_height": 280, "name": "Eckelt_2017-image.JPG", "type": "image/jpeg", "size": 19302, "path": "Publication:Eckelt_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/Eckelt_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/Eckelt_2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1401 ], "date_end": "2017-01-31", "date_start": "2016-06-01", "matrikelnr": "1127705", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Eckelt_2017-Bachelor Thesis.pdf", "type": "application/pdf", "size": 14653176, "path": "Publication:Eckelt_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/Eckelt_2017-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/Eckelt_2017-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 361, "image_height": 280, "name": "Eckelt_2017-image.JPG", "type": "image/jpeg", "size": 19302, "path": "Publication:Eckelt_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/Eckelt_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/Eckelt_2017-image:thumb{{size}}.png" } ], "projects_workgroups": [ "AngioVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/", "__class": "Publication" }, { "id": "Groeller-2017-IVAMCS", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "Interactive Visual Analysis in the Material and Computational Sciences", "date": "2017-01-10", "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, and scalable visualizations. The simultaneous exploration and visualization of spatial and abstract information is an important case in point. Several examples from the material and computational sciences will be discussed in detail. 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 ], "date_from": "2017-01-10", "date_to": "2017-01-10", "event": "Workshop on Visual analysis of dynamic processes", "lecturer": [ 166 ], "location": "Rigi Kulm, Switzerland", "research_areas": [], "keywords": [], "weblinks": [ { "href": "https://indico.psi.ch/conferenceDisplay.py?ovw=True&confId=4840", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Groeller-2017-IVAMCS/", "__class": "Publication" }, { "id": "Kolesar-Fractional-2016", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "A Fractional Cartesian Composition Model for Semi-Spatial ComparativeVisualization Design", "date": "2017-01", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1192, 161, 171, 176 ], "date_from": "2016-10-23", "date_to": "2016-10-28", "doi": "10.1109/TVCG.2016.2598870", "event": "IEEE VIS 2016", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1192 ], "number": "1", "pages": "851-860", "volume": "23", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kolesar-Fractional-2016/", "__class": "Publication" }, { "id": "kouril-2015-maya2cellview", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Maya2CellVIEW: 3D Package Integrated Tool for Creating Large and Complex Molecular Scenes", "date": "2017-01", "abstract": "Scientific illustrators communicate the cutting edge of research through their illustrations. There are numerous software tools that assist them with this job. Often they use professional modeling and animation 3D programs which are primarily used in games and movies industry. Because of that however these tools are not suitable for scientific illustration out of the box. There have been attempts to address this issue which brought tremendous results. This work focuses on visualization of structures and processes in biology, focusing mostly on the scales of nano- to micrometers. At this scale we often do not gain much by using hyper-realistic rendering style that the professional software aims for. Instead we want to employ more simplified style which helps to communicate the important story without losing much detail or scientific precision. The aim of this thesis is to push abilities of illustrators working on large scale molecular scenes. This is done by connecting two software packages—Maya and cellVIEW—combining the real-time rendering possibilities of cellVIEW and modeling and animation tools of Maya which results in more effective and efficient workflow.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 935, "image_height": 763, "name": "kouril-2015-maya2cellview-teaser.png", "type": "image/png", "size": 602143, "path": "Publication:kouril-2015-maya2cellview", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2015-maya2cellview/kouril-2015-maya2cellview-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2015-maya2cellview/kouril-2015-maya2cellview-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1383 ], "date_end": "2017-02-08", "date_start": "2015-10-01", "matrikelnr": "1529693", "supervisor": [ 171 ], "research_areas": [ "BioVis", "Modeling" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 935, "image_height": 763, "name": "kouril-2015-maya2cellview-teaser.png", "type": "image/png", "size": 602143, "path": "Publication:kouril-2015-maya2cellview", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2015-maya2cellview/kouril-2015-maya2cellview-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2015-maya2cellview/kouril-2015-maya2cellview-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "kouril-2015-maya2cellview-thesis.pdf", "type": "application/pdf", "size": 5758830, "path": "Publication:kouril-2015-maya2cellview", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2015-maya2cellview/kouril-2015-maya2cellview-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2015-maya2cellview/kouril-2015-maya2cellview-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2015-maya2cellview/", "__class": "Publication" }, { "id": "ZOTTI-2017-TSP", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "The Skyscape Planetarium", "date": "2017", "abstract": "Communicating scientific topics in state of the art exhibitions frequently involves the creation of impressive visual installations. In the exhibition “STONEHENGE. –A Hidden Landscape.” in the MAMUZ museum for prehistory in Mistelbach, Lower Austria, LBI ArchPro presents recent research results from the Stonehenge Hidden Landscape Project. A central element of the exhibition which extends over two floors connected with open staircases is an assembly of original-sized replica of several stones of the central trilithon horseshoe which is seen from both floors. In the upper floor, visitors are at eye level with the lintels, and on a huge curved projection screen which extends along the long wall of the hall they can experience the view out over the Sarsen circle into the surrounding landscape. This paper describes the planning and creation of this part of the exhibition, and some first impressions after opening.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 4914, "image_height": 2534, "name": "ZOTTI-2017-TSP-image.jpg", "type": "image/jpeg", "size": 3514929, "path": "Publication:ZOTTI-2017-TSP", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-TSP/ZOTTI-2017-TSP-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-TSP/ZOTTI-2017-TSP-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 222, 1093, 193 ], "booktitle": "24th SEAC Conference", "date_from": "2016-09-12", "date_to": "2016-09-16", "event": "24th SEAC Conference", "issn": "1368-6534", "journal": "Culture and Cosmos", "lecturer": [ 222 ], "location": "Bath, UK", "number": "1", "open_access": "no", "pages_from": "269", "pages_to": "281", "volume": "21", "research_areas": [ "Rendering" ], "keywords": [ "stellarium" ], "weblinks": [ { "href": "http://www.cultureandcosmos.org/", "caption": "Journal", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 4914, "image_height": 2534, "name": "ZOTTI-2017-TSP-image.jpg", "type": "image/jpeg", "size": 3514929, "path": "Publication:ZOTTI-2017-TSP", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-TSP/ZOTTI-2017-TSP-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-TSP/ZOTTI-2017-TSP-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ZOTTI-2017-TSP-paper.pdf", "type": "application/pdf", "size": 3211099, "path": "Publication:ZOTTI-2017-TSP", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-TSP/ZOTTI-2017-TSP-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-TSP/ZOTTI-2017-TSP-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-TSP/", "__class": "Publication" }, { "id": "gersthofer_2017_COP", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Clipping and Orthogonal Projection in a Point Cloud Viewer", "date": "2017", "abstract": "Potree is an interactive web-based point cloud renderer. During an\ninternship I was responsible for extending the application by a set of new\nfeatures. That includes a new tool for clipping, an orthographic camera\nmode and some more minor features which are explained in this report.\nThe following report contains information about the changes made to the\nPotree application.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "gersthofer_2017_COP-.pdf", "type": "application/pdf", "size": 4488937, "path": "Publication:gersthofer_2017_COP", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/gersthofer_2017_COP/gersthofer_2017_COP-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/gersthofer_2017_COP/gersthofer_2017_COP-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1292 ], "date_end": "2017", "date_start": "2017", "matrikelnr": "1325669", "supervisor": [ 1116 ], "research_areas": [ "Rendering" ], "keywords": [ "point cloud", "webgl", "potree" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "gersthofer_2017_COP-.pdf", "type": "application/pdf", "size": 4488937, "path": "Publication:gersthofer_2017_COP", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/gersthofer_2017_COP/gersthofer_2017_COP-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/gersthofer_2017_COP/gersthofer_2017_COP-:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/gersthofer_2017_COP/", "__class": "Publication" }, { "id": "vad_viktor-2017-WVE", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Watergate: Visual Exploration of Water Trajectories in Protein Dynamics", "date": "2017", "abstract": "The function of proteins is tightly related to their interactions with other molecules. The study of such interactions often requires to track the molecules that enter or exit specific regions of the proteins. This is investigated with molecular dynamics simulations, producing the trajectories of thousands of water molecules during hundreds of thousands of time steps. To ease the exploration of such rich spatio-temporal data, we propose a novel workflow for the analysis and visualization of large sets of water-molecule trajectories. Our solution consists of a set of visualization techniques, which help biochemists to classify, cluster, and filter the trajectories and to explore the properties and behavior of selected subsets in detail. Initially, we use an interactive histogram and a time-line visualization to give an overview of all water trajectories and select the interesting ones for further investigation. Further, we depict clusters of trajectories in a novel 2D representation illustrating the flows of water molecules. These views are interactively linked with a 3D representation where we show individual paths, including their simplification, as well as extracted statistical information displayed by isosurfaces. The proposed solution has been designed in tight collaboration with experts to support specific tasks in their scientific workflows. They also conducted several case studies to evaluate the usability and effectiveness of our new solution with respect to their research scenarios. These confirmed that our proposed solution helps in analyzing water trajectories and in extracting the essential information out of the large amount of input data.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "preview_image_width": 1474, "preview_image_height": 588, "name": "vad_viktor-2017-WVE-.pdf", "type": "application/pdf", "size": 6012581, "path": "Publication:vad_viktor-2017-WVE", "preview_name": "vad_viktor-2017-WVE-:preview.png", "preview_type": "image/png", "preview_size": 244889, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/vad_viktor-2017-WVE/vad_viktor-2017-WVE-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/vad_viktor-2017-WVE/vad_viktor-2017-WVE-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1195, 1254, 1255, 171, 166, 176, 1498, 1499, 1248 ], "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine 2017", "date_from": "2017", "lecturer": [ 1195 ], "location": "September, 2017 Bremen, Germany", "pages_from": "33", "pages_to": "42", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://diglib.eg.org/handle/10.2312/vcbm20171235", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "preview_image_width": 1474, "preview_image_height": 588, "name": "vad_viktor-2017-WVE-.pdf", "type": "application/pdf", "size": 6012581, "path": "Publication:vad_viktor-2017-WVE", "preview_name": "vad_viktor-2017-WVE-:preview.png", "preview_type": "image/png", "preview_size": 244889, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/vad_viktor-2017-WVE/vad_viktor-2017-WVE-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/vad_viktor-2017-WVE/vad_viktor-2017-WVE-:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/vad_viktor-2017-WVE/", "__class": "Publication" }, { "id": "travnicek-2017-thm", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Tangible Historical Maps: An Approach Towards Customisable 3D Printed Historical Maps", "date": "2017", "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": 252, "image_height": 163, "preview_image_width": 252, "preview_image_height": 163, "name": "travnicek-2017-thm-image.JPG", "type": "image/jpeg", "size": 14432, "path": "Publication:travnicek-2017-thm", "preview_name": "travnicek-2017-thm-image:preview.JPG", "preview_type": "image/jpeg", "preview_size": 14432, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/travnicek-2017-thm/travnicek-2017-thm-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/travnicek-2017-thm/travnicek-2017-thm-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1276 ], "co_supervisor": [ 935 ], "date_end": "2017-01-17", "date_start": "2015", "duration": "7.8.2015 - 31.1.2016", "matrikelnr": "1126286", "supervisor": [ 166, 935 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "travnicek-2017-thm-Bachelor Thesis.pdf", "type": "application/pdf", "size": 8078032, "path": "Publication:travnicek-2017-thm", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/travnicek-2017-thm/travnicek-2017-thm-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/travnicek-2017-thm/travnicek-2017-thm-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 252, "image_height": 163, "preview_image_width": 252, "preview_image_height": 163, "name": "travnicek-2017-thm-image.JPG", "type": "image/jpeg", "size": 14432, "path": "Publication:travnicek-2017-thm", "preview_name": "travnicek-2017-thm-image:preview.JPG", "preview_type": "image/jpeg", "preview_size": 14432, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/travnicek-2017-thm/travnicek-2017-thm-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/travnicek-2017-thm/travnicek-2017-thm-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/travnicek-2017-thm/", "__class": "Publication" }, { "id": "steinboeck-2017-vefp", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Visualization of EU Funding Programmes", "date": "2017", "abstract": "To fund research and technological development, not only in Europe but all over the world, the European Union created so-called Framework Programmes. The data\nof these programmes, containing information about projects, corresponding topics,\nfunding sums, funding periods and recipient countries, is publicly available, but hard\nto analyze without visual support. Therefore, a multiple coordinated view approach is developed in course of this project. The different visualization techniques used, like bar charts, treemap, choropleth map and line graph, make it possible to filter, analyze and further explore the available data through brushing and linking. The project was developed in close collaboration with the end users of the Centre for Social Innovation and received an overall positive feedback from them.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "screen shot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1920, "image_height": 945, "name": "steinboeck-2017-vefp-screen shot.png", "type": "image/png", "size": 208713, "path": "Publication:steinboeck-2017-vefp", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/steinboeck-2017-vefp-screen shot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/steinboeck-2017-vefp-screen shot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1378 ], "date_end": "2017-02", "date_start": "2016-09", "matrikelnr": "0826088", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "screen shot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1920, "image_height": 945, "name": "steinboeck-2017-vefp-screen shot.png", "type": "image/png", "size": 208713, "path": "Publication:steinboeck-2017-vefp", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/steinboeck-2017-vefp-screen shot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/steinboeck-2017-vefp-screen shot:thumb{{size}}.png" }, { "description": null, "filetitle": "technical report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "steinboeck-2017-vefp-technical report.pdf", "type": "application/pdf", "size": 518813, "path": "Publication:steinboeck-2017-vefp", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/steinboeck-2017-vefp-technical report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/steinboeck-2017-vefp-technical report:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/", "__class": "Publication" }, { "id": "SIPPL-2017-POS", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Projecting Openstreetmap Tiles onto 3D-Surfaces", "date": "2017", "abstract": "The algorithm/software should project map-data from a tile-based map-service\nonto 3d Geometry or point clouds. Different levels of detail should be available\nand tiles should be downloaded on the fly, while the program is running.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "SIPPL-2017-POS-.pdf", "type": "application/pdf", "size": 797387, "path": "Publication:SIPPL-2017-POS", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIPPL-2017-POS/SIPPL-2017-POS-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIPPL-2017-POS/SIPPL-2017-POS-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1419 ], "date_end": "2017", "date_start": "2017", "matrikelnr": "0820552", "supervisor": [ 1116 ], "research_areas": [ "Rendering" ], "keywords": [ "Open Street Map", "point cloud rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "SIPPL-2017-POS-.pdf", "type": "application/pdf", "size": 797387, "path": "Publication:SIPPL-2017-POS", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIPPL-2017-POS/SIPPL-2017-POS-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIPPL-2017-POS/SIPPL-2017-POS-:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIPPL-2017-POS/", "__class": "Publication" }, { "id": "SCHEIBLAUER-2015-WFC", "type_id": "inbook", "tu_id": null, "repositum_id": null, "title": "Workflow for Creating and Rendering Huge Point Models", "date": "2017", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 614, 826, 193 ], "booktitle": "Fundamentals of Virtual Archaeology: Theory and Practice", "isbn": "9781466594760", "note": "(to appear) 15.06.2017", "publisher": "A K Peters/CRC Press", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "TERAPOINTS" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHEIBLAUER-2015-WFC/", "__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": "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": "miao_tvcg_2017", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Placenta Maps: In Utero Placental Health Assessment of the Human Fetus", "date": "2017", "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": 1236, "image_height": 1198, "preview_image_width": 1236, "preview_image_height": 1198, "name": "miao_tvcg_2017-image.png", "type": "image/png", "size": 588467, "path": "Publication:miao_tvcg_2017", "preview_name": "miao_tvcg_2017-image:preview.png", "preview_type": "image/png", "preview_size": 588467, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/miao_tvcg_2017-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/miao_tvcg_2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263, 869, 925, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 563, 1432, 166 ], "date_from": "2016-01-01", "date_to": "2017-04-21", "event": "Pacific Vis 2017", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1263 ], "number": "6", "pages_from": "1612", "pages_to": "1623", "protocol": "null", "volume": "23", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1236, "image_height": 1198, "preview_image_width": 1236, "preview_image_height": 1198, "name": "miao_tvcg_2017-image.png", "type": "image/png", "size": 588467, "path": "Publication:miao_tvcg_2017", "preview_name": "miao_tvcg_2017-image:preview.png", "preview_type": "image/png", "preview_size": 588467, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/miao_tvcg_2017-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/miao_tvcg_2017-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "miao_tvcg_2017-paper.pdf", "type": "application/pdf", "size": 17621975, "path": "Publication:miao_tvcg_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/miao_tvcg_2017-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/miao_tvcg_2017-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/", "__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": "mazurek-2017-vows", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Visualization of Thesaurus-Based Web Search", "date": "2017", "abstract": "The general functions of current web search engines are well established. A box is\nprovided in which to type the queries and the engine returns a result list which users can\nevaluate. The autocomplete suggestions assist users in defining their problems, however\nthere is a lack of support for an iterative manual refinement of the query. This additional\naid can be beneficial when users not know the exact terms to describe the concept they\nare looking for. Therefore, the goal of this project is to show searchers how a slight\nvariation of the query changes the results. With this information, they then can perform\na targeted refinement of the query to access useful information sources. To achieve this\ngoal, each part of the searcher’s query is varied with a thesaurus that provides synonyms\nfor the individual query terms. While performing the user’s original query in a normal\nfashion, variations of this query are conducted in the background. To provide a concise\nvisual summary of the query results, text mining techniques are performed on all gathered\nresults to retrieve the most important key terms for each query variation. This procedure\nresults in a visual overview of what the searcher’s query finds together with what could\nbe found with a slight variation of the query. Additional queries should make users aware\nthat alternative queries may be more appropriate when their original query is poorly\nformulated. In conjunction with some interaction tools, the goal is to reduce the burden\nof refining search queries and therefore making searching the web less complex.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 814, "image_height": 539, "name": "mazurek-2017-vows-teaser.PNG", "type": "image/png", "size": 405860, "path": "Publication:mazurek-2017-vows", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/mazurek-2017-vows-teaser.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/mazurek-2017-vows-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1364 ], "date_end": "2017-10", "date_start": "2017-08", "matrikelnr": "1126483", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "mazurek-2017-vows-report.pdf", "type": "application/pdf", "size": 540973, "path": "Publication:mazurek-2017-vows", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/mazurek-2017-vows-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/mazurek-2017-vows-report:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 814, "image_height": 539, "name": "mazurek-2017-vows-teaser.PNG", "type": "image/png", "size": 405860, "path": "Publication:mazurek-2017-vows", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/mazurek-2017-vows-teaser.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/mazurek-2017-vows-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/", "__class": "Publication" }, { "id": "mazurek-2017-sio", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Stream I/O - An Interactive Visualization of Publication Data", "date": "2017", "abstract": "The publication database of the Institute of Computer Graphics and Algorithms can\ncurrently be queried by a simple UI which returns a list. Stream I/O, the application\nof this thesis, extends the interface to improve it in terms of overview, exploration and\nanalysis support. To cope with these shortcommings a visualization is added to the user\ninterface. As the publication database includes a lot of additional data attributes, a\nselection of attributes is used for the visualization to give further insight. By using the\nStreamgraph [BW08] visualization, the variations over time within attributes like authors,\npublication type and research areas are made visible. The focus of this visualization lies\nin showing individual attribute values while also conveying the sum. This relationship\nis depicted in a timeline, which allows a user to explore the past and current work of\nthe institute as well as to find relationships and trends in the publications. As the\nvisualization uses a timeline encoding, the directed flow from left to right is interpreted\nas the movement through time. It shows the evolution of different attributes, while the\noccurrence of a topic at a specific time is coded with the width of the layer at a specific\npoint. Searching the database is enriched through multiple viewpoints which give the user\ninsight how attributes relate in the underlying data and how the data is changing through\nhis/her manipulation. Selections of colored layers within the graph can represent bigger\ntrends and give insight into the data as a whole. The Stream I/O application invites\nusers to interactively explore the publication database, while simultaneously gaining new\ninsight through the visualization.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1293, "image_height": 562, "name": "mazurek-2017-sio-.png", "type": "image/png", "size": 403642, "path": "Publication:mazurek-2017-sio", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/mazurek-2017-sio-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/mazurek-2017-sio-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1364 ], "date_end": "2017-03", "date_start": "2016-05", "duration": "4 months", "matrikelnr": "0123456", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1293, "image_height": 562, "name": "mazurek-2017-sio-.png", "type": "image/png", "size": 403642, "path": "Publication:mazurek-2017-sio", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/mazurek-2017-sio-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/mazurek-2017-sio-:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "mazurek-2017-sio-thesis.pdf", "type": "application/pdf", "size": 4004622, "path": "Publication:mazurek-2017-sio", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/mazurek-2017-sio-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/mazurek-2017-sio-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/", "__class": "Publication" } ]