[ { "id": "wu-2018-prague", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Progressive Annotation of Schematic Railway Maps", "date": "2018-12-05", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464 ], "event": "Czech Technical University", "location": "Czech Technical University", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-prague/", "__class": "Publication" }, { "id": "wu-2018-shonan", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Lost in Translation: Alignment of Mental Representations for Visual Analytics, Reimagining the Mental Map and Drawing Stability (NII Shonan Meeting Seminar 127)", "date": "2018-12", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1619, 1680, 1681, 1682, 1683, 1684, 1464 ], "number": "TR-193-02-2018-1", "open_access": "yes", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2018-shonan-paper.pdf", "type": "application/pdf", "size": 1672636, "path": "Publication:wu-2018-shonan", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-shonan/wu-2018-shonan-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-shonan/wu-2018-shonan-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-shonan/", "__class": "Publication" }, { "id": "dvdkouril_xmas_card_2018", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2018", "date": "2018-12", "abstract": "In this Christmas card we introduce a new way of research physicalization. We turned our recent papers into gingerbread cookies!\nOur cookies feature motifs from visualization of multiscale DNA nanostructures, Euler diagrams of expanded queries, levels of expanded bladders due to Glühwein consumption, beautiful smiles thanks to augmented reality, and finally several new technologies for biology communication.\n\nAuf dieser Weihnachtskarte zeigen wir neuartige Forschung im Bereich Physikalisierung. Wir verwandelten unsere aktuellen Publikationen in Lebkuchen.\nUnsere Kekse repräsentieren die multiskalare Visualisierung von DNA Nanostrukturen, Euler Diagramme von erweiterten Such-Abfragen, Pegel von expandierten Harnblasen nach Glühwein-Konsum, durch Augmented Reality verursachtes Lächeln und letztlich mehrere neue Technologien für die Kommunikation von Biologiewissen.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "X-mas card front", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2275, "image_height": 1587, "name": "dvdkouril_xmas_card_2018-X-mas card front.png", "type": "image/png", "size": 7236788, "path": "Publication:dvdkouril_xmas_card_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/dvdkouril_xmas_card_2018-X-mas card front.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/dvdkouril_xmas_card_2018-X-mas card front:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1383, 1615 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "X-mas card front", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2275, "image_height": 1587, "name": "dvdkouril_xmas_card_2018-X-mas card front.png", "type": "image/png", "size": 7236788, "path": "Publication:dvdkouril_xmas_card_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/dvdkouril_xmas_card_2018-X-mas card front.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/dvdkouril_xmas_card_2018-X-mas card front:thumb{{size}}.png" }, { "description": null, "filetitle": "X-mas card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "dvdkouril_xmas_card_2018-X-mas card.pdf", "type": "application/pdf", "size": 62700677, "path": "Publication:dvdkouril_xmas_card_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/dvdkouril_xmas_card_2018-X-mas card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/dvdkouril_xmas_card_2018-X-mas card:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/", "__class": "Publication" }, { "id": "themmer-2018-fbx", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Definition of a Workflow to Import FBX Models in Unity3D at Run-Time While Retaining Material Properties for Various Shader Types", "date": "2018-11-30", "abstract": "This bachelor thesis can be divided into two sequential parts. The first part examines physically-based shader analyses their functionality. In this context, shader were studied in general, while discussing core elements like the rendering equation and the graphics pipeline. Physically-based shader were subsequently brought to close attention. In this step, the study deals with various real life phenomenons, that occur in reality and were successfully implemented in computer graphics. For this purpose, the BRDF (Bidirectional Reflection Distribution Function) was explained theoretically and analysed mathematically. The second part of this thesis covers the import of FBX files into the game engine Unity3D. The goal of this chapter is to modify the import process to the extend that material information won’t get lost. When importing FBX files into Unity3D, textures have to be assigned to Unity materials by default. Therefore, the Autodesk API is used to examine FBX files and gain necessary information regarding textures and materials. The thesis covers the use-case of uploading FBX files to a server, analysing these files, generating Unity files in a native format (AssetBundles) with correct material information and storing them into a database. A client, that synchronises itself with the database during run-time and loading these models into a visual scene was also implemented. In this context, the process of modeling 3D objects, including materials and textures is covered as well. The workflow was implemented as a network application in order to outsource the conversion process and therefore substantially decrease the consumption of computational power. The workflow defines necessary steps, to automate the assignment of textures to Unity materials. A solution for the use-case of including FBX files into unity applications during run-time is hereby presented.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1024, "image_height": 1024, "name": "themmer-2018-fbx-image.png", "type": "image/png", "size": 736332, "path": "Publication:themmer-2018-fbx", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/themmer-2018-fbx/themmer-2018-fbx-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/themmer-2018-fbx/themmer-2018-fbx-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1550 ], "date_end": "2018-11-30", "date_start": "2018-03", "matrikelnr": "0929245", "supervisor": [ 848, 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": { "3": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1024, "image_height": 1024, "name": "themmer-2018-fbx-image.png", "type": "image/png", "size": 736332, "path": "Publication:themmer-2018-fbx", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/themmer-2018-fbx/themmer-2018-fbx-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/themmer-2018-fbx/themmer-2018-fbx-image:thumb{{size}}.png" }, "4": { "description": "Thesis (PDF)", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "themmer-2018-fbx-thesis.pdf", "type": "application/pdf", "size": 7101661, "path": "Publication:themmer-2018-fbx", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/themmer-2018-fbx/themmer-2018-fbx-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/themmer-2018-fbx/themmer-2018-fbx-thesis:thumb{{size}}.png" } }, "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/themmer-2018-fbx/", "__class": "Publication" }, { "id": "Tucek_2018", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "INTRA SPACE Agent An Agent-Based Architecture for an Artistic Real-Time Installation", "date": "2018-11-29", "abstract": "This work describes the processes involved in developing and embedding an agent\nsystem into an artistic real-time installation. The agent system would be responsible for controlling virtual figures on a screen, which interact with users of the installation. It was necessary to develop agents which displayed behavior pre-defined in stories designed by the project team, as well as to ensure that such agents acted in a way that was both\nwell received by visitors, while also stimulating interaction in a way that allowed the project team to conduct research on the interactions between humans and nonhumans. The agent system was implemented using Jason, a Java-based interpreter of the agentprogramming\nlanguage AgentSpeak. Over the course of the project, various agent scenarios were developed, with differing ways of implementation. An iterative process\nwas used for development and regular meetings with project members were instated, to discuss progress and ideas, while utilizing visualizations to aid communication. Behavior of developed agents was plagued by various problems, from being too reliant on reactions towards user behavior, to not interacting enough with active users. Various approaches\nto such problems were tried out, discussed, and documented. During the final installation, agents with indeterministic and emergent behavior were employed. Furthermore, agents were focused on both pursuing their own goals as well as\nconstantly paying attention to visitor behavior. This allowed users to realize agents as a social presence and interact with them in a way that was both novel and natural. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 343, "image_height": 296, "name": "Tucek_2018-image.PNG", "type": "image/png", "size": 10823, "path": "Publication:Tucek_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tucek_2018/Tucek_2018-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tucek_2018/Tucek_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1534 ], "date_end": "2018-11-29", "date_start": "2016-08-15", "matrikelnr": "01325775 ", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "Jason; Agent System; Human-Agent Interaction; Real-Time; Art " ], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Tucek_2018-Bachelor Thesis.pdf", "type": "application/pdf", "size": 9342466, "path": "Publication:Tucek_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tucek_2018/Tucek_2018-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tucek_2018/Tucek_2018-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 343, "image_height": 296, "name": "Tucek_2018-image.PNG", "type": "image/png", "size": 10823, "path": "Publication:Tucek_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tucek_2018/Tucek_2018-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tucek_2018/Tucek_2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tucek_2018/", "__class": "Publication" }, { "id": "mindek-tedx", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "TEDxDonauinsel: Scientific visualization meets biology", "date": "2018-11-29", "abstract": "https://www.youtube.com/watch?v=bz_99kE00WM", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 720, "image_height": 720, "name": "mindek-tedx-Teaser.png", "type": "image/png", "size": 661492, "path": "Publication:mindek-tedx", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-tedx/mindek-tedx-Teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-tedx/mindek-tedx-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935 ], "date_from": "2018-11-29", "event": "TEDxDonauinsel", "location": "International Atomic Energy Agency (IAEA)", "research_areas": [], "keywords": [], "weblinks": [ { "href": "http://tedxdonauinsel.at/sciencenotfiction/", "caption": "TEDxDonainsel Science, not Fiction", "description": null, "main_file": 0 }, { "href": "https://www.youtube.com/watch?v=bz_99kE00WM", "caption": "Youtube video of the talk", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "Slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "mindek-tedx-Slides.pptx", "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation", "size": 84919174, "path": "Publication:mindek-tedx", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-tedx/mindek-tedx-Slides.pptx", "thumb_image_sizes": [] }, { "description": null, "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 720, "image_height": 720, "name": "mindek-tedx-Teaser.png", "type": "image/png", "size": 661492, "path": "Publication:mindek-tedx", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-tedx/mindek-tedx-Teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-tedx/mindek-tedx-Teaser:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-tedx/", "__class": "Publication" }, { "id": "schuh-2018-mesh-blending", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Fast Virtual Character Modelling with Mesh Fusion", "date": "2018-11-12", "abstract": "3D models are used in many areas, from medical applications to the development of\ngames. Especially in games and animated movies a lot of 3D models are required and\ncreated and the creation process of these is very time consuming. This is one point,\nwhich makes creating games or animated movies very expensive and time-consuming in\ngeneral. To create 3D models faster, artists could be supported by algorithms, which assist them in their workflow. The idea is to reuse parts of existing models and fuse them together with the help of algorithms. Thus in sum a huge amount of time could be saved in the creation of 3D models. We present an overview of existing blending techniques and their advantages and disadvantages. We create our own algorithms, which we use to evaluate how much time artists can save. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 212, "image_height": 190, "name": "schuh-2018-mesh-blending-image.PNG", "type": "image/png", "size": 43814, "path": "Publication:schuh-2018-mesh-blending", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuh-2018-mesh-blending/schuh-2018-mesh-blending-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuh-2018-mesh-blending/schuh-2018-mesh-blending-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1557 ], "date_end": "2018-11-12", "date_start": "2018-04-19", "matrikelnr": "e1526991", "supervisor": [ 166 ], "research_areas": [ "Geometry" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "schuh-2018-mesh-blending-Bachelor Thesis.pdf", "type": "application/pdf", "size": 2891650, "path": "Publication:schuh-2018-mesh-blending", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuh-2018-mesh-blending/schuh-2018-mesh-blending-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuh-2018-mesh-blending/schuh-2018-mesh-blending-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 212, "image_height": 190, "name": "schuh-2018-mesh-blending-image.PNG", "type": "image/png", "size": 43814, "path": "Publication:schuh-2018-mesh-blending", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuh-2018-mesh-blending/schuh-2018-mesh-blending-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuh-2018-mesh-blending/schuh-2018-mesh-blending-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuh-2018-mesh-blending/", "__class": "Publication" }, { "id": "mindek-2018-fyi", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "Molecular Visualization", "date": "2018-11-10", "abstract": "Molecular visualization allows us to display nanoworlds of bacteria and viruses, which would otherwise be impossible to show at such level of fidelity", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 559, "image_height": 558, "name": "mindek-2018-fyi-teaser.png", "type": "image/png", "size": 197987, "path": "Publication:mindek-2018-fyi", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/mindek-2018-fyi-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/mindek-2018-fyi-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935 ], "event": "FYI: Informationsdesign Konferenz Wien", "lecturer": [ 935 ], "location": "Nordbahn-Halle, Vienna", "open_access": "yes", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "molecular visualization", "biology", "education" ], "weblinks": [ { "href": "https://www.youtube.com/watch?v=ROzwq5k5d9Q", "caption": "video of the talk", "description": null, "main_file": 0 }, { "href": "https://fyi-conference.com/", "caption": "conference website", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "mindek-2018-fyi-Slides.pdf", "type": "application/pdf", "size": 12247817, "path": "Publication:mindek-2018-fyi", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/mindek-2018-fyi-Slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/mindek-2018-fyi-Slides:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 559, "image_height": 558, "name": "mindek-2018-fyi-teaser.png", "type": "image/png", "size": 197987, "path": "Publication:mindek-2018-fyi", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/mindek-2018-fyi-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/mindek-2018-fyi-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/", "__class": "Publication" }, { "id": "Melo_2018_11", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Transfer Function Widget for Tri-Modal Volume Exploration", "date": "2018-11-06", "abstract": "Volumetric visualization is an essential tool in medical studies and materials science, as it enables the analysis and exploration of the inner structure of objects. With the introduction of new equipment and techniques, the datasets become more complex, making it an increasingly common task in material analysis to handle three modalities at once. For instance, a single industrial computed-tomography scan of an object can\noutput absorption contrast, differential phase contrast and dark-field contrast volumes (modalities). However, modern software is falling behind with these advancements, as they still do not provide dedicated tools for this use. This thesis aims to test the feasibility of a transfer function user interface for tri-modal datasets, with a focus on usability, taking\ninto consideration the needs of material analysis experts. The development process (from the initial concepts to a software prototype) is described, and the resulting tool, developed as a module for open_iA (a visual analysis and volumetric processing application), is presented. It uses the standard 1D color-opacity transfer function for each modality together with a barycentric coordinates method to blend the three modalities together.\nFor the modalities of an industrial computed-tomography dataset (absorption contrast, differential phase contrast and dark-field contrast), the tool can successfully accelerate and facilitate volume exploration.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 248, "image_height": 247, "name": "Melo_2018_11-image.PNG", "type": "image/png", "size": 27476, "path": "Publication:Melo_2018_11", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/Melo_2018_11-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/Melo_2018_11-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1610 ], "date_end": "2018-11-06", "date_start": "2018-03-01", "matrikelnr": "01429462", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Melo_2018_11-Bachelor Thesis.pdf", "type": "application/pdf", "size": 15012365, "path": "Publication:Melo_2018_11", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/Melo_2018_11-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/Melo_2018_11-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 248, "image_height": 247, "name": "Melo_2018_11-image.PNG", "type": "image/png", "size": 27476, "path": "Publication:Melo_2018_11", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/Melo_2018_11-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/Melo_2018_11-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/", "__class": "Publication" }, { "id": "sbardellati_ba_2018", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Exploded Views for Presenting DNA Nano-Structures", "date": "2018-11-02", "abstract": "As the complexity of computer-aided-designed DNA nano-structures progresses day by day, the presentation of these structures is becoming complex. To tackle the main presentation problem, visual occlusion of structure components, we developed a semiautomated method to create effective interactive exploded views for DNA nano-structures, especially for educational purposes. This is done by displacing selected components of a DNA nano-structure based on the four key parameters explosion direction, distance,\norder and component selection. In this thesis we describe three different strategies of choosing the explosion direction, with two of them being defined by the object structure and one by the user. For the two structure defined approaches a method to calculate the explosion distance and three different explosion orders is described. The explosion components for these two approaches are defined by the hierarchical structure of the dataset, that describes the object. The user defined approach lets the user decide on the explosion distance and features one possible explosion order. It also lets the user select the explosion components arbitrarily. The developed application additionally features the possibility to animate an explosion and to use easing in these animations. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 227, "image_height": 235, "name": "sbardellati_ba_2018-image.PNG", "type": "image/png", "size": 82795, "path": "Publication:sbardellati_ba_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/sbardellati_ba_2018-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/sbardellati_ba_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1555 ], "date_end": "2018-11-02", "date_start": "2018-03-19", "matrikelnr": "01526262", "supervisor": [ 171, 1263 ], "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "sbardellati_ba_2018-Bachelor Thesis.pdf", "type": "application/pdf", "size": 12130913, "path": "Publication:sbardellati_ba_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/sbardellati_ba_2018-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/sbardellati_ba_2018-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 227, "image_height": 235, "name": "sbardellati_ba_2018-image.PNG", "type": "image/png", "size": 82795, "path": "Publication:sbardellati_ba_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/sbardellati_ba_2018-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/sbardellati_ba_2018-image:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/", "__class": "Publication" }, { "id": "wu-2018-dagstuhl", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Geometry and Data Representation", "date": "2018-10-31", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464 ], "event": "Dagstuhl Seminar 18442", "location": "Dagstuhl Seminar 18442", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-dagstuhl/", "__class": "Publication" }, { "id": "GRIESHOFER-2018-GOS", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Game Optimization and Steam Publishing for Swarmlake", "date": "2018-10-29", "abstract": "Video games are complex pieces of software which require a certain\namount of prototyping and iteration to create the intended experience.\nThey are also real-time applications and need to be performant\nto run at the desired speed.\nMost software architecture is about creating more flexible code and\ntherefore making fewer assumptions which allow for faster prototyping\nand iteration time. However, optimizing is all about making\nassumptions and knowing limitations to be able to improve efficiency.\nSince optimal optimization is usually more natural to guarantee after\nmaking a well-designed game than vice versa, keeping the code\nflexible until the end is a valid compromise. Knowing game optimization\npatterns beforehand can be useful to make sure only the\nleast amount of code needs to be rewritten at the end of a game’s\ndevelopment cycle.\nSuccessfully selling a product such as a video game also requires\nmarketing and distribution. One of the most influential platform to\ndistribute computer games on PC is Steam. Knowing more about\nthe target platform a game releases on can make it more likely to\nmake the optimal decisions in that process.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image1", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1080, "name": "GRIESHOFER-2018-GOS-image1.jpg", "type": "image/jpeg", "size": 665090, "path": "Publication:GRIESHOFER-2018-GOS", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GRIESHOFER-2018-GOS/GRIESHOFER-2018-GOS-image1.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GRIESHOFER-2018-GOS/GRIESHOFER-2018-GOS-image1:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1606 ], "date_end": "2018-10-29", "date_start": "2017-04-12", "matrikelnr": "1054878", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "computer games" ], "weblinks": [ { "href": "https://store.steampowered.com/app/793350/Swarmlake/", "caption": "Game on Steam", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image1", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1080, "name": "GRIESHOFER-2018-GOS-image1.jpg", "type": "image/jpeg", "size": 665090, "path": "Publication:GRIESHOFER-2018-GOS", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GRIESHOFER-2018-GOS/GRIESHOFER-2018-GOS-image1.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GRIESHOFER-2018-GOS/GRIESHOFER-2018-GOS-image1:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "GRIESHOFER-2018-GOS-thesis.pdf", "type": "application/pdf", "size": 6584323, "path": "Publication:GRIESHOFER-2018-GOS", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GRIESHOFER-2018-GOS/GRIESHOFER-2018-GOS-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GRIESHOFER-2018-GOS/GRIESHOFER-2018-GOS-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GRIESHOFER-2018-GOS/", "__class": "Publication" }, { "id": "Vasileva-2018", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Maps for Visualizing Optimal Route Planning Strategy", "date": "2018-10-26", "abstract": "There are many situations in our everyday life like events, concerts, landmarks, attraction parks, etc. that often require from visitors to line-up in front of long queues and thus spend hours in waiting. An example of that are the Disneyland amusement parks. They are all very popular and attract a significant number of people every day. For this reason, the lining-up in front of attractions may cost much time – even up to a couple of hours. Despite that, the Disneyland parks are visited by millions of people every year [sta].\nSo to avoid so much waiting they need to make a plan in advance – when and in which\norder to visit the wanted attractions. However, to make such a plan, it could be very time consuming, difficult and even unpleasant, because many prerequisites need to be considered in advance. Having the main problems and annoyances described, the goal of this thesis is to create an assisting application. Its purpose is to give the visitors the possibility to create their own plan for their visit to Tokyo Disneyland. It contains two main assisting components. Firstly, an optimization algorithm calculating an optimized\nroute of the chosen attractions as well as a route visualization for an easy attraction finding. Both will reduce the time for lining-up and pre-planning. Such a technique will make it easier for visitors to see as many attractions as possible for a single day and thus, make the most of their visit.", "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": 337, "name": "Vasileva-2018-image.PNG", "type": "image/png", "size": 95697, "path": "Publication:Vasileva-2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Vasileva-2018/Vasileva-2018-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Vasileva-2018/Vasileva-2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1593 ], "date_end": "2018-10-26", "date_start": "2018-05-23", "matrikelnr": "01426939", "supervisor": [ 1464 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Vasileva-2018-Bachelor Thesis.pdf", "type": "application/pdf", "size": 7087860, "path": "Publication:Vasileva-2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Vasileva-2018/Vasileva-2018-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Vasileva-2018/Vasileva-2018-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 192, "image_height": 337, "name": "Vasileva-2018-image.PNG", "type": "image/png", "size": 95697, "path": "Publication:Vasileva-2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Vasileva-2018/Vasileva-2018-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Vasileva-2018/Vasileva-2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Vasileva-2018/", "__class": "Publication" }, { "id": "Niedermayer_2018", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Real-Time Shadows for Large-Scale Geospatial Visualization", "date": "2018-10-23", "abstract": "A flood is an often unforeseen event, which can happen at any time and causes enormous\ndamage. Simulations are used to predict risks and respond to them early, like in the decision-support system Visdom. The real-time application is useful and offers many possibilities, e.g., simulations of the rising of the river over a certain time or the building of barriers. However, there is a lack of a true-to-life representation of the entire scene, which is important, as the visualization of the results must be understandable also for non-experts, such as decision-makers or the general public. More precisely, shadows are missing in the application so far, although they are particularly well suited to recognize\nrelations of objects to each other.\nThis bachelor thesis covers the implementation of shadows in Visdom to increase the realism of the scene. This is very complex for such big scenes on city or even country scale and requires many self-developed strategies, as there are no ready-made solutions.\nWe present an adaptation of the cascaded shadow maps algorithm, which provides a good way to subdivide the scene for better results in shadow quality. Further improvements are presented to increase the quality of the resulting shadows, as well as avoid occurring artifacts. The result of this work is a flexible visualization of soft shadows for a variety of different-sized scenes in real time, which increase the realism and spatial perception\nand further do not influence the performance too much.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 458, "image_height": 213, "name": "Niedermayer_2018-image.JPG", "type": "image/jpeg", "size": 31728, "path": "Publication:Niedermayer_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/Niedermayer_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/Niedermayer_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1638 ], "date_end": "2018-10-23", "date_start": "2018-01-20", "matrikelnr": "01227211", "supervisor": [ 190 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Niedermayer_2018-Bachelor Thesis.pdf", "type": "application/pdf", "size": 19298736, "path": "Publication:Niedermayer_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/Niedermayer_2018-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/Niedermayer_2018-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 458, "image_height": 213, "name": "Niedermayer_2018-image.JPG", "type": "image/jpeg", "size": 31728, "path": "Publication:Niedermayer_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/Niedermayer_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/Niedermayer_2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/", "__class": "Publication" }, { "id": "Deutsch-2018", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Generating seating plan images using clustering and concave hull algorithms", "date": "2018-10-21", "abstract": "This study presents a process of generating seating plan images for the Ticket Gretchen\napp. The app offers the ability to buy tickets for theaters and similar venues by using\nan interactive seating plan. A seating plan image is a venue’s abstract visualization\ndefined by the seating layout of a performance. It should give an impression of the spatial\nstructure to see which seats are in reach of each other. The proposed automated solution\nof generating these images replaces the previously used process of creating the seating\nplan images manually. The image is made up of polygons representing seat groups that\nshow the user which seats are near each other and which are separated from each other.\nThe grouping of seats is done with the DBSCAN clustering algorithm using the seats’ 2D\nposition, sector and box information. For the computation of the polygons two concave\nhull algorithms are compared.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1000, "image_height": 953, "name": "Deutsch-2018-image.png", "type": "image/png", "size": 78508, "path": "Publication:Deutsch-2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/Deutsch-2018-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/Deutsch-2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1592 ], "date_end": "2018-10-21", "date_start": "2018-05-23", "matrikelnr": "01327587", "supervisor": [ 1464 ], "research_areas": [ "IllVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Deutsch-2018-Bachelor Thesis.pdf", "type": "application/pdf", "size": 6601116, "path": "Publication:Deutsch-2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/Deutsch-2018-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/Deutsch-2018-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1000, "image_height": 953, "name": "Deutsch-2018-image.png", "type": "image/png", "size": 78508, "path": "Publication:Deutsch-2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/Deutsch-2018-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/Deutsch-2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/", "__class": "Publication" }, { "id": "Fischer-2018-sssvr", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Subsurface Scattering in VR", "date": "2018-10-18", "abstract": "Subsurface Scattering is a physical phenomenon that appears in many materials but is most notable for human skin. Current research makes it possible to calculate the\nlocal scattering of light inside a translucent medium around the point of entry with a convolution of a separable filter in screen-space. This thesis tries to evaluate this technique by Jimenez et al. for stereoscopic rendering and how it can be implemented for the currently popular game engine Unity. Unity offers support for VR applications and allows the implementation of post-processing effects and other techniques that rely on shaders. The implemented Subsurface Scattering method is combined with an approach\nfor translucency and a physically based specular model. In the developed application the effects can be observed with and without VR and important parameters can be changed by the user. The performance and visual quality are reviewed with respect to the viability of the effects in Unity, stereoscopic rendering and frame rate. The latter is especially\nimportant in VR applications to deliver a comfortable interactive experience.\n\nImplementation https://drive.google.com/file/d/19cWkXh19uDCIa6Mcu3qy1UeIxYlOmjJA/view?usp=sharing ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1014, "name": "Fischer-2018-sssvr-image.jpg", "type": "image/jpeg", "size": 134152, "path": "Publication:Fischer-2018-sssvr", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Fischer-2018-sssvr/Fischer-2018-sssvr-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Fischer-2018-sssvr/Fischer-2018-sssvr-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1548 ], "date_end": "2018-10-18", "date_start": "2018-02", "matrikelnr": "01527007", "supervisor": [ 193, 1128 ], "research_areas": [ "Rendering" ], "keywords": [ "subsurface scattering", "virtual reality" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Fischer-2018-sssvr-Bachelor Thesis.pdf", "type": "application/pdf", "size": 2486446, "path": "Publication:Fischer-2018-sssvr", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Fischer-2018-sssvr/Fischer-2018-sssvr-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Fischer-2018-sssvr/Fischer-2018-sssvr-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1014, "name": "Fischer-2018-sssvr-image.jpg", "type": "image/jpeg", "size": 134152, "path": "Publication:Fischer-2018-sssvr", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Fischer-2018-sssvr/Fischer-2018-sssvr-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Fischer-2018-sssvr/Fischer-2018-sssvr-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Fischer-2018-sssvr/", "__class": "Publication" }, { "id": "ludwig-2012-MT", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Radial Diagrams for the Visual Analysis of Wind Energy Production Data", "date": "2018-10-10", "abstract": "Wind energy production is a fast growing sector in the field of renewable energy production. In the process of energy production, more and more data is produced and recorded every year. This data is usually worthless without further exploration, analysis, and presentation. This thesis presents a design study of the visual analysis of wind energy production data. The goal is to provide data analysts with tools to carry out common tasks in the field of wind energy production more efficiently. As the data commonly contains directional information of winds and gusts,\nanalysis techniques need to take the circular nature of such data into account.\nThis work proposes a set of techniques for the visualization and interaction with circular data in radial diagrams. The diagrams operate in the polar coordinate system and thus are well suited to solve the problems of maintaining the natural coherence and circular closure of circular data. \nThe thesis discusses important design decisions and gives practical guidance how to implement novel features into an existing software system. Implementation details on how to ensure large data scalability are presented. The work evaluates the results in a case study with real data carried out by an expert in the field of wind energy production. The results indicate an improved work flow of common tasks and a successful system integration. The reported deployment at a\nnational power grid operator further demonstrates the system’s user acceptance and importance. The thesis also reflects on the iterative design process and the within collected expert feedback.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 279, "image_height": 260, "name": "ludwig-2012-MT-image.PNG", "type": "image/png", "size": 45174, "path": "Publication:ludwig-2012-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1138 ], "date_end": "2018-10-10", "date_start": "2012", "matrikelnr": "0526080", "supervisor": [ 451, 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 279, "image_height": 260, "name": "ludwig-2012-MT-image.PNG", "type": "image/png", "size": 45174, "path": "Publication:ludwig-2012-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "ludwig-2012-MT-Master Thesis.pdf", "type": "application/pdf", "size": 16882134, "path": "Publication:ludwig-2012-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ludwig-2012-MT-Poster.pdf", "type": "application/pdf", "size": 711448, "path": "Publication:ludwig-2012-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/", "__class": "Publication" }, { "id": "trautner-2018-imd", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/7274", "title": "Importance-Driven Exploration of Molecular Dynamics Simulations", "date": "2018-10-03", "abstract": "The aim of this thesis is a novel real-time visualization approach for exploring molecular dynamics (MD-)simulations. Through the constantly improving hardware and everincreasing computing power, MD-simulations are more easily available. Additionally, they consist of hundreds, thousands or even millions of individual simulation frames and are getting more and more detailed. The calculation of such simulations is no longer limited by algorithms or hardware, nevertheless it is still not possible to efficiently explore this huge amount of simulation data, as animated 3D visualization, with ordinary and well established visualization tools. Using current software tools, the exploration of such long simulations takes too much time and due to the complexity of large molecular scenes, the visualizations highly suffer from visual clutter. It is therefore very likely that the user will miss important events.\nTherefore, we designed a focus & context approach for MD-simulations that guides the\nuser to the most relevant temporal and spatial events, and it is no longer necessary to explore the simulation in a linear fashion. Our contribution can be divided into the following four topics:\n1. Spatial importance through different levels of detail. Depending on the type of\nresearch task, different geometrical representations can be selected for both, focusand context elements.\n2. Importance driven visibility management through ghosting, to prevent context\nelements from occluding focus elements.\n3. Temporal importance through adaptive fast-forward. The playback speed of the\nsimulation is thereby dependent on a single or a combination of multiple importance\nfunctions.\n4. Visual declutter of accumulated frames through motion blur, which additionally\nillustrates the playback speed-up.\nSince the very beginning, this work was developed in close cooperation with biochemists from the Loschmidt Laboratories in Brno, Czech Republic. Together, we analyzed different use cases demonstrating the flexibility of our novel focus & context approach. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 567, "image_height": 480, "name": "trautner-2018-imd-image.png", "type": "image/png", "size": 278645, "path": "Publication:trautner-2018-imd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1196 ], "date_end": "2018-11-03", "date_start": "2018-01", "doi": "10.34726/hss.2018.53541", "matrikelnr": "01125421", "open_access": "yes", "pages": "100", "supervisor": [ 1110, 166 ], "research_areas": [ "BioVis", "Perception" ], "keywords": [ "molecular dynamics simulation", "realtime visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 567, "image_height": 480, "name": "trautner-2018-imd-image.png", "type": "image/png", "size": 278645, "path": "Publication:trautner-2018-imd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "trautner-2018-imd-Master Thesis.pdf", "type": "application/pdf", "size": 18870686, "path": "Publication:trautner-2018-imd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "trautner-2018-imd-Poster.pdf", "type": "application/pdf", "size": 4239145, "path": "Publication:trautner-2018-imd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/", "__class": "Publication" }, { "id": "leimer-2018-sar", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Sit & Relax: Interactive Design of Body-Supporting Surfaces", "date": "2018-10", "abstract": "We propose a novel method for interactive design of well-fitting body-supporting surfaces that is driven by the pressure distribution on the body's surface. \n\nOur main contribution is an interactive modeling system that utilizes captured body poses and computes an importance field that is proportional to the pressure distribution on the body for a given pose. This distribution indicates where the body should be supported in order to easily hold a particular pose, which is one of the measures of comfortable sitting. \t\n\nUsing our approximation, we propose the entire workflow for interactive design of $C^2$ smooth surfaces which serve as seats, or generally, as body supporting furniture for comfortable sitting. Finally, we also provide a design tool for Rhino/Grasshopper that allows for interactive creation of single designs or entire multi-person sitting scenarios. We also test the tool with design students and present several results. \t\t\n\nOur method aims at interactive design in order to help designers to create appropriate surfaces digitally without additional empirical design passes.", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1339, "image_height": 743, "name": "leimer-2018-sar-image.png", "type": "image/png", "size": 938874, "path": "Publication:leimer-2018-sar", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1019, 836, 1063, 844 ], "cfp": { "name": "call_for_papers.pdf", "type": "application/pdf", "error": "0", "size": "2740870", "orig_name": "call_for_papers.pdf", "ext": "pdf" }, "date_from": "2018-10-08", "date_to": "2018-10-11", "doi": "10.1111/cgf.13573", "event": "Pacific Graphics 2018", "journal": "Computer Graphics Forum", "lecturer": [ 1019 ], "location": "Hong Kong", "number": "7", "open_access": "yes", "pages_from": "349", "pages_to": "359", "volume": "37", "research_areas": [ "Fabrication", "Geometry", "Modeling" ], "keywords": [ "interactive modeling", "interactive design", "digital fabrication" ], "weblinks": [ { "href": "https://doi.org/10.1111/cgf.13573 ", "caption": "DOI", "description": null, "main_file": 0 } ], "files": [ { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1339, "image_height": 743, "name": "leimer-2018-sar-image.png", "type": "image/png", "size": 938874, "path": "Publication:leimer-2018-sar", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-image:thumb{{size}}.png" }, { "description": "preprint", "filetitle": "preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer-2018-sar-preprint.pdf", "type": "application/pdf", "size": 10955588, "path": "Publication:leimer-2018-sar", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-preprint:thumb{{size}}.png" }, { "description": "video", "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer-2018-sar-video.mp4", "type": "video/mp4", "size": 201674852, "path": "Publication:leimer-2018-sar", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-video:video.mp4" } ], "projects_workgroups": [ "MAKE-IT-FAB", "geo-materials" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/", "__class": "Publication" }, { "id": "amirkhanov-2018-withteeth", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "WithTeeth: Denture Preview in Augmented Reality", "date": "2018-10", "abstract": "Dentures are prosthetic devices replacing missing or damaged teeth, often used for dental reconstruction. Dental reconstruction improves the functional state and aesthetic appearance of teeth. State-of-the-art methods used by dental technicians typically do not include the aesthetic analysis, which often leads to unsatisfactory results for patients. In this paper, we present a virtual mirror approach for a dental treatment preview in augmented reality. Different denture presets are visually evaluated and compared by switching them on the fly. Our main goals are to provide a virtual dental treatment preview to facilitate early feedback, and hence to build the confidence and trust of patients in the outcome. The workflow of our algorithm is as follows. First, the face is detected and 2D facial landmarks are extracted. Then, 3D pose estimation of upper and lower jaws is performed and high-quality 3D models of the upper and lower dentures are fitted. The fitting uses the occlusal plane angle as determined manually by dental technicians. To provide a realistic impression of the virtual teeth, the dentures are rendered with motion blur. We demonstrate the robustness and visual quality of our approach by comparing the results of a webcam to a DSLR camera under natural, as well as controlled lighting conditions.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1170, 817, 660, 582, 1628, 1629, 166 ], "address": "https://diglib.eg.org/handle/10.2312/vmv20181250", "booktitle": "Vision, Modeling and Visualization", "cfp": { "name": "call_for_paper_vmv18.pdf", "type": "application/pdf", "error": "0", "size": "748387", "orig_name": "call_for_paper_vmv18.pdf", "ext": "pdf" }, "editor": "Beck, Fabian and Dachsbacher, Carsten and Sadlo, Filip", "event": "VMV18", "isbn": "978-3-03868-072-7", "lecturer": [ 1170 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "amirkhanov-2018-withteeth-paper.pdf", "type": "application/pdf", "size": 4951324, "path": "Publication:amirkhanov-2018-withteeth", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video demo", "main_file": true, "use_in_gallery": false, "access": "public", "name": "amirkhanov-2018-withteeth-video demo.mp4", "type": "video/mp4", "size": 35459157, "path": "Publication:amirkhanov-2018-withteeth", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-video demo.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-video demo:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-video demo:video.mp4" } ], "projects_workgroups": [ "Smile Analytics" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/", "__class": "Publication" }, { "id": "Konev-FCV2018", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Fast cutaway visualization of sub-terrain tubular networks", "date": "2018-10", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1333, "image_height": 753, "name": "Konev-FCV2018-image.jpg", "type": "image/jpeg", "size": 114614, "path": "Publication:Konev-FCV2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1205, 1380, 171, 1337, 877, 798 ], "doi": "https://doi.org/10.1016/j.cag.2018.07.004", "issn": "0097-8493", "journal": "Computers & Graphics", "number": "5", "open_access": "no", "pages": "25–35", "pages_from": "25", "pages_to": "35", "volume": "75", "research_areas": [ "IllVis", "Rendering" ], "keywords": [ "Cutaway visualization", "Procedural billboarding", "Subsurface networks" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1333, "image_height": 753, "name": "Konev-FCV2018-image.jpg", "type": "image/jpeg", "size": 114614, "path": "Publication:Konev-FCV2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/", "__class": "Publication" }, { "id": "kroesl-2018-DC", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "[DC] Computational Design of Smart Lighting Systems for Visually Impaired People, using VR and AR Simulations", "date": "2018-10", "abstract": "This Doctoral Consortium paper presents my dissertation research in a multidisciplinary setting, spanning over the areas of architecture, specifically lighting design and building information modeling, to virtual reality (VR) and perception.\nSince vision impairments are hardly taken into account in architecture and lighting design today, this research aims to provide the necessary tools to quantify the effects of vision impairments, so design guidelines regarding these impairments can be developed.\nAnother research goal is the determination of the influence of different lighting conditions on the perception of people with vision impairments.\nThis would allow us to develop smart lighting systems that can aid visually impaired people by increasing their visual perception of their environment.\nThis paper also outlines the concept for a tool to automatically generate lighting solutions and compare and test them in VR, as design aid for architects and lighting designers.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 642, "image_height": 595, "name": "kroesl-2018-DC-image.png", "type": "image/png", "size": 316715, "path": "Publication:kroesl-2018-DC", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/kroesl-2018-DC-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/kroesl-2018-DC-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1030 ], "booktitle": "Proceedings of the 2018 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct)", "event": "ISMAR 2018", "lecturer": [ 1030 ], "location": "Munich", "open_access": "no", "publisher": "IEEE", "research_areas": [ "Perception", "Rendering" ], "keywords": [ "vision impairments", "lighting design", "virtual reality", "user study" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 642, "image_height": 595, "name": "kroesl-2018-DC-image.png", "type": "image/png", "size": 316715, "path": "Publication:kroesl-2018-DC", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/kroesl-2018-DC-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/kroesl-2018-DC-image:thumb{{size}}.png" }, { "description": "author's version", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl-2018-DC-paper.pdf", "type": "application/pdf", "size": 3617601, "path": "Publication:kroesl-2018-DC", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/kroesl-2018-DC-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/kroesl-2018-DC-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/", "__class": "Publication" }, { "id": "edlinger-2018-vwr", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Visually Linking web search results with bookmarked information", "date": "2018-10", "abstract": "This work presents a new approach of regaining access to stored information and for the visualization of similarities between new information and locally stored data. The fact that bookmarks are cumbersome to use and that there is no possibility to compare web search results with local information motivates the concept of this thesis. The\nimplementation was done as Google Chrome extension and based on the ’Information\nCollage’ environment. In order to improve the perceived ease of use, the visualization was integrated in the search engine results page to avoid a context switch for the user. The\nvisualization uses a word cloud to display similarities and differences between remote and\nlocal information. The word cloud layout focuses on the spatial arrangment and the text\ncolour of the words to encode their association to the remote or the local information.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 761, "image_height": 758, "name": "edlinger-2018-vwr-teaser.png", "type": "image/png", "size": 267653, "path": "Publication:edlinger-2018-vwr", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/edlinger-2018-vwr-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/edlinger-2018-vwr-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1465 ], "date_end": "2018-10", "date_start": "2017-06", "matrikelnr": "1027088", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 761, "image_height": 758, "name": "edlinger-2018-vwr-teaser.png", "type": "image/png", "size": 267653, "path": "Publication:edlinger-2018-vwr", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/edlinger-2018-vwr-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/edlinger-2018-vwr-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "edlinger-2018-vwr-thesis.pdf", "type": "application/pdf", "size": 9699891, "path": "Publication:edlinger-2018-vwr", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/edlinger-2018-vwr-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/edlinger-2018-vwr-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/", "__class": "Publication" }, { "id": "steinboeck-2018-lbg", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Casual Visual Exploration of Large Bipartite Graphs Using Hierarchical Aggregation and Filtering", "date": "2018-10", "abstract": "Bipartite graphs are typically visualized using linked\nlists or matrices. However, these classic visualization techniques\ndo not scale well with the number of nodes. Biclustering has\nbeen used to aggregate edges, but not to create linked lists\nwith thousands of nodes. In this paper, we present a new\ncasual exploration interface for large, weighted bipartite graphs,\nwhich allows for multi-scale exploration through hierarchical\naggregation of nodes and edges using biclustering in linked\nlists. We demonstrate the usefulness of the technique using two\ndata sets: a database of media advertising expenses of public\nauthorities and author-keyword co-occurrences from the IEEE\nVisualization Publication collection. Through an insight-based\nstudy with lay users, we show that the biclustering interface leads\nto longer exploration times, more insights, and more unexpected\nfindings than a baseline interface using only filtering. However,\nusers also perceive the biclustering interface as more complex.", "authors_et_al": false, "substitute": null, "main_image": { "description": "BiCFlows showing visualization authors and their key words", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 708, "image_height": 702, "name": "steinboeck-2018-lbg-teaser.png", "type": "image/png", "size": 137906, "path": "Publication:steinboeck-2018-lbg", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/steinboeck-2018-lbg-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/steinboeck-2018-lbg-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1378, 166, 1110 ], "booktitle": "International Symposium on Big Data Visual and Immersive Analytics", "event": "4th International Symposium on Big Data Visual and Immersive Analytics", "lecturer": [ 1110 ], "location": "Konstanz, Germany", "organization": "IEEE", "research_areas": [ "InfoVis", "NetVis" ], "keywords": [ "information visualization", "bipartite graphs", "biclustering", "insight-based evaluation" ], "weblinks": [ { "href": "https://users.cg.tuwien.ac.at/~waldner/bicflows/", "caption": "BiCFlows online", "description": "BiCFlows online for exploring Austria's media transparency database and the IEEE Visualization paper authors and their key words. ", "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "steinboeck-2018-lbg-paper.pdf", "type": "application/pdf", "size": 1871535, "path": "Publication:steinboeck-2018-lbg", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/steinboeck-2018-lbg-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/steinboeck-2018-lbg-paper:thumb{{size}}.png" }, { "description": "BiCFlows showing visualization authors and their key words", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 708, "image_height": 702, "name": "steinboeck-2018-lbg-teaser.png", "type": "image/png", "size": 137906, "path": "Publication:steinboeck-2018-lbg", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/steinboeck-2018-lbg-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/steinboeck-2018-lbg-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/", "__class": "Publication" }, { "id": "birsak-thesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/7025", "title": "Discrete Optimization on Graphs and Grids for the Creation of Navigational and Artistic Imagery", "date": "2018-09-30", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 836 ], "date_end": "2018-09", "date_start": "2012-08", "reviewer_1": [ 474 ], "reviewer_2": [ 194 ], "rigorosum": "2018-10-17", "supervisor": [ 193 ], "research_areas": [ "Modeling" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "Photo-Guide", "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-thesis/", "__class": "Publication" }, { "id": "miao_plitvice_2018", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visualization and Modeling of DNA Nanostructures", "date": "2018-09-18", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1280, "image_height": 720, "name": "miao_plitvice_2018-.png", "type": "image/png", "size": 74461, "path": "Publication:miao_plitvice_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_plitvice_2018/miao_plitvice_2018-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_plitvice_2018/miao_plitvice_2018-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263 ], "event": "First DNA Engineering Workshop 2018", "location": "Plitvice Lakes, Croatia", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1280, "image_height": 720, "name": "miao_plitvice_2018-.png", "type": "image/png", "size": 74461, "path": "Publication:miao_plitvice_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_plitvice_2018/miao_plitvice_2018-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_plitvice_2018/miao_plitvice_2018-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_plitvice_2018/", "__class": "Publication" }, { "id": "raidou2018visualflatter", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "VisualFlatter - Visual Analysis of Distortions in the Projection of Biomedical Structures", "date": "2018-09", "abstract": "Projections of complex anatomical or biological structures from 3D to 2D are often used by visualization and domain experts\nto facilitate inspection and understanding. Representing complex structures, such as organs or molecules, in a simpler 2D\nway often requires less interaction, while enabling comparability. However, the most commonly employed projection methods\nintroduce size or shape distortions, in the resulting 2D representations. While simple projections display known distortion\npatterns, more complex projection algorithms are not easily predictable.We propose the VisualFlatter, a visual analysis tool that\nenables visualization and domain experts to explore and analyze projection-induced distortions, in a structured way. Our tool\nprovides a way to identify projected regions with semantically relevant distortions and allows users to comparatively analyze\ndistortion outcomes, either from alternative projection methods or due to different setups through the projection pipeline. The\nuser is given the ability to improve the initial projection configuration, after comparing different setups. We demonstrate the\nfunctionality of our tool using four scenarios of 3D to 2D projections, conducted with the help of domain or visualization experts\nworking on different application fields. We also performed a wider evaluation with 13 participants, familiar with projections,\nto assess the usability and functionality of the Visual Flatter.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1366, 1367, 166, 1410 ], "cfp": { "name": "UI.PNG", "type": "image/png", "error": "0", "size": "739280", "orig_name": "UI.PNG", "ext": "PNG" }, "date_from": "2018", "date_to": "2018", "event": "Eurographics Workshop on Visual Computing for Biology and Medicine (2018)", "journal": "Eurographics Proceedings", "lecturer": [ 1410 ], "research_areas": [ "BioVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "demo", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou2018visualflatter-demo.mp4", "type": "video/mp4", "size": 64003568, "path": "Publication:raidou2018visualflatter", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018visualflatter/raidou2018visualflatter-demo.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018visualflatter/raidou2018visualflatter-demo:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018visualflatter/raidou2018visualflatter-demo:video.mp4" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 972, "name": "raidou2018visualflatter-image.png", "type": "image/png", "size": 771897, "path": "Publication:raidou2018visualflatter", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018visualflatter/raidou2018visualflatter-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018visualflatter/raidou2018visualflatter-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou2018visualflatter-paper.pdf", "type": "application/pdf", "size": 4204706, "path": "Publication:raidou2018visualflatter", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018visualflatter/raidou2018visualflatter-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018visualflatter/raidou2018visualflatter-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018visualflatter/", "__class": "Publication" }, { "id": "haushofer-2018-skinning", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Dynamic molecular animation: GPU skinning for molecular data", "date": "2018-09", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "preview-image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 597, "image_height": 663, "name": "haushofer-2018-skinning-preview-image.PNG", "type": "image/png", "size": 197912, "path": "Publication:haushofer-2018-skinning", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-preview-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-preview-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1554 ], "co_supervisor": [ 1383 ], "date_end": "2018-09", "date_start": "2018-03", "matrikelnr": "1525970", "supervisor": [ 171 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "preview-image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 597, "image_height": 663, "name": "haushofer-2018-skinning-preview-image.PNG", "type": "image/png", "size": 197912, "path": "Publication:haushofer-2018-skinning", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-preview-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-preview-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "haushofer-2018-skinning-thesis.pdf", "type": "application/pdf", "size": 3180502, "path": "Publication:haushofer-2018-skinning", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "haushofer-2018-skinning-video.webm", "type": "video/webm", "size": 10769911, "path": "Publication:haushofer-2018-skinning", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-video.webm", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/", "__class": "Publication" }, { "id": "GAMPER-2018-OSG", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/7037", "title": "Ocean Surface Generation and Rendering", "date": "2018-09", "abstract": "The synthesis of a believable depiction of the ocean surface is a permanent topic of interest in\ncomputer graphics. It represents even more of a challenge for applications which require the\nreal-time display of a water body as large as the ocean. That is because the ocean is a highly\ndynamic system which combines waves at all scales, ranging from millimetres to kilometres.\nMoreover, the ocean may be observed from several distances, ranging from close-ups to views\nwhich reach the horizon. Thus, we present a framework to generate and render the open ocean in\nreal time, for arbitrary viewing distances and including waves at all scales. We focus our efforts\non the geometry of the animated ocean surface, for which we leverage a set of wave spectrum\nmodels from oceanographic research. We discuss the intricacies of said models, as well as their\nfitness for real-time rendering. Moreover, we delineate in detail how to integrate distinct wave\nspectrum models into a coherent framework, from which one is able obtain believable, consistent\nand coherent results.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1278, "image_height": 719, "name": "GAMPER-2018-OSG-image.jpg", "type": "image/jpeg", "size": 97135, "path": "Publication:GAMPER-2018-OSG", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/GAMPER-2018-OSG-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/GAMPER-2018-OSG-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 747 ], "date_end": "2018-09", "date_start": "2007", "matrikelnr": "0107543", "open_access": "yes", "supervisor": [ 193, 567 ], "research_areas": [ "Rendering" ], "keywords": [ "ocean rendering", "wave synthesis" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1278, "image_height": 719, "name": "GAMPER-2018-OSG-image.jpg", "type": "image/jpeg", "size": 97135, "path": "Publication:GAMPER-2018-OSG", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/GAMPER-2018-OSG-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/GAMPER-2018-OSG-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "GAMPER-2018-OSG-poster.pdf", "type": "application/pdf", "size": 21604047, "path": "Publication:GAMPER-2018-OSG", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/GAMPER-2018-OSG-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/GAMPER-2018-OSG-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "GAMPER-2018-OSG-thesis.pdf", "type": "application/pdf", "size": 54905917, "path": "Publication:GAMPER-2018-OSG", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/GAMPER-2018-OSG-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/GAMPER-2018-OSG-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/", "__class": "Publication" }, { "id": "klaffenboeck-thesis", "type_id": "runphdthesis", "tu_id": null, "repositum_id": null, "title": "(untitled)", "date": "2018-09", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1598 ], "date_start": "2018-09", "duration": "2018-ongoing", "matrikelnr": "00301042", "supervisor": [ 193 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/klaffenboeck-thesis/", "__class": "Publication" }, { "id": "koch_bernhard_2018-1", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Semantic Screen-Space Occlusion for Multiscale Molecular Visualization", "date": "2018-09", "abstract": "Visual clutter is a major problem in large biological data visualization. It is often addressed through the means of level of detail\nschemes coupled with an appropriate coloring of the visualized structures. Ambient occlusion and shadows are often used to\nimprove the depth perception. However, when used excessively, these techniques are sources of visual clutter themselves. In\nthis paper we present a new approach to screen-space illumination algorithms suitable for use in illustrative visualization. The\nillumination effect can be controlled so that desired levels of semantic scene organization cast shadows while other remain\nflat. This way the illumination design can be parameterized to keep visual clutter, originating from illumination, to a minimum,\nwhile also guiding the user in a multiscale model exploration. We achieve this by selectively applying occlusion shading based\non the inherent semantics of the visualized hierarchically-organized data. The technique is in principle generally applicable\nto any hierarchically organized 3D scene and has been demonstrated on an exemplary scene from integrative structural biology.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2120, "image_height": 734, "name": "koch_bernhard_2018-1-image.JPG", "type": "image/jpeg", "size": 371526, "path": "Publication:koch_bernhard_2018-1", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1604, 1383, 1285, 935, 171 ], "cfp": { "name": "Call for Papers – VCBM 2018.pdf", "type": "application/pdf", "error": "0", "size": "179394", "orig_name": "Call for Papers – VCBM 2018.pdf", "ext": "pdf" }, "date_from": "2018-09", "date_to": "2018-09", "journal": "Eurographics Workshop on Visual Computing for Biology and Medicine", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2120, "image_height": 734, "name": "koch_bernhard_2018-1-image.JPG", "type": "image/jpeg", "size": 371526, "path": "Publication:koch_bernhard_2018-1", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "koch_bernhard_2018-1-paper.pdf", "type": "application/pdf", "size": 9041724, "path": "Publication:koch_bernhard_2018-1", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "koch_bernhard_2018-1-video.mp4", "type": "video/mp4", "size": 76794010, "path": "Publication:koch_bernhard_2018-1", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/", "__class": "Publication" }, { "id": "Muehlbacher_diss_2018", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Human-Oriented Statistical Modeling: Making Algorithms Accessible through Interactive Visualization", "date": "2018-08-30", "abstract": "Statistical modeling is a key technology for generating business value from data. While the number of available algorithms and the need for them is growing, the number of people with the skills to effectively use such methods lags behind. Many application domain experts find it hard to use and trust algorithms that come as black boxes with insufficient interfaces to adapt. The field of Visual Analytics aims to solve this problem by a human-oriented approach that puts users in control of algorithms through interactive\nvisual interfaces. However, designing accessible solutions for a broad set of users while re-using existing, proven algorithms poses significant challenges for the design of analytical infrastructures, visualizations, and interactions.\nThis thesis provides multiple contributions towards a more human-oriented modeling\nprocess: As a theoretical basis, it investigates how user involvement during the execution of algorithms can be realized from a technical perspective. Based on a characterization of needs regarding intermediate feedback and control, a set of formal strategies to realize user involvement in algorithms with different characteristics is presented. Guidelines\nfor the design of algorithmic APIs are identified, and requirements for the re-use of algorithms are discussed. From a survey of frequently used algorithms within R, the\nthesis concludes that a range of pragmatic options for enabling user involvement in new and existing algorithms exist and should be used. After these conceptual considerations, the thesis presents two methodological contributions that demonstrate how even inexperienced modelers can be effectively involved in the\nmodeling process. First, a new technique called TreePOD guides the selection of decision trees along trade-offs between accuracy and other objectives, such as interpretability.\nUsers can interactively explore a diverse set of candidate models generated by sampling the parameters of tree construction algorithms. Visualizations provide an overview of possible tree characteristics and guide model selection, while details on the underlying machine learning process are only exposed on demand. Real-world evaluation with\ndomain experts in the energy sector suggests that TreePOD enables users with and without statistical background a confident identification of suitable decision trees. As the second methodological contribution, the thesis presents a framework for interactive\nbuilding and validation of regression models. The framework addresses limitations of automated regression algorithms regarding the incorporation of domain knowledge, identifying local dependencies, and building trust in the models. Candidate variables for model refinement are ranked, and their relationship with the target variable is visualized to support an interactive workflow of building regression models. A real-world case study and feedback from domain experts in the energy sector indicate a significant effort\nreduction and increased transparency of the modeling process.\nAll methodological contributions of this work were implemented as part of a commercially distributed Visual Analytics software called Visplore. As the last contribution, this thesis reflects upon years of experience in deploying Visplore for modeling-related tasks in the energy sector. Dissemination and adoption are important aspects of making statistical\nmodels more accessible for domain experts, making this work relevant for practitioners\nand application-oriented researchers alike.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 306, "image_height": 284, "name": "Muehlbacher_diss_2018-image.PNG", "type": "image/png", "size": 34227, "path": "Publication:Muehlbacher_diss_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Muehlbacher_diss_2018/Muehlbacher_diss_2018-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Muehlbacher_diss_2018/Muehlbacher_diss_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 804 ], "co_supervisor": [ 451 ], "date_end": "2018-08", "date_start": "2012-06", "matrikelnr": "0625075", "reviewer_1": [ 176 ], "reviewer_2": [ 1144 ], "rigorosum": "2018-11-09", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 306, "image_height": 284, "name": "Muehlbacher_diss_2018-image.PNG", "type": "image/png", "size": 34227, "path": "Publication:Muehlbacher_diss_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Muehlbacher_diss_2018/Muehlbacher_diss_2018-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Muehlbacher_diss_2018/Muehlbacher_diss_2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Muehlbacher_diss_2018/", "__class": "Publication" }, { "id": "ohrhallinger_stefan-2018-pg", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "StretchDenoise: Parametric Curve Reconstruction with Guarantees by Separating Connectivity from Residual Uncertainty of Samples", "date": "2018-08-24", "abstract": "We reconstruct a closed denoised curve from an unstructured and highly noisy 2D point cloud.\nOur proposed method uses a two-pass approach: Previously recovered manifold connectivity is used for ordering noisy samples along this manifold and express these as residuals in order to enable parametric denoising.\nThis separates recovering low-frequency features from denoising high frequencies, which avoids over-smoothing.\nThe noise probability density functions (PDFs) at samples are either taken from sensor noise models or from estimates of the connectivity recovered in the first pass.\nThe output curve balances the signed distances (inside/outside) to the samples.\nAdditionally, the angles between edges of the polygon representing the connectivity become minimized in the least-square sense.\nThe movement of the polygon's vertices is restricted to their noise extent, i.e., a cut-off distance corresponding to a maximum variance of the PDFs.\nWe approximate the resulting optimization model, which consists of higher-order functions, by a linear model with good correspondence.\nOur algorithm is parameter-free and operates fast on the local neighborhoods determined by the connectivity.\n%We augment a least-squares solver constrained by a linear system to also handle bounds.\nThis enables us to guarantee stochastic error bounds for sampled curves corrupted by noise, e.g., silhouettes from sensed data, and we improve on the reconstruction error from ground truth.\nSource code is available online. An extended version is available at: https://arxiv.org/abs/1808.07778", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 828, "image_height": 812, "name": "ohrhallinger_stefan-2018-pg-image.png", "type": "image/png", "size": 68562, "path": "Publication:ohrhallinger_stefan-2018-pg", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ohrhallinger_stefan-2018-pg/ohrhallinger_stefan-2018-pg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ohrhallinger_stefan-2018-pg/ohrhallinger_stefan-2018-pg-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 948, 193 ], "booktitle": "Proceedings of Pacific Graphics 2018", "date_from": "2018-10-08", "date_to": "2018-10-11", "editor": "H. Fu, A. Ghosh, and J. Kopf (Guest Editors)", "event": "Pacific Graphics 2018", "isbn": "978-3-03868-073-4", "lecturer": [ 948 ], "location": "Hong Kong", "pages_from": "1", "pages_to": "4", "research_areas": [ "Geometry" ], "keywords": [ "Denoising", "Curve reconstruction", "Optimization" ], "weblinks": [ { "href": "https://arxiv.org/abs/1808.07778", "caption": "Extended version", "description": null, "main_file": 1 }, { "href": "https://github.com/stefango74/stretchdenoise", "caption": "source", "description": "source code on github", "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 828, "image_height": 812, "name": "ohrhallinger_stefan-2018-pg-image.png", "type": "image/png", "size": 68562, "path": "Publication:ohrhallinger_stefan-2018-pg", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ohrhallinger_stefan-2018-pg/ohrhallinger_stefan-2018-pg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ohrhallinger_stefan-2018-pg/ohrhallinger_stefan-2018-pg-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ohrhallinger_stefan-2018-pg-paper.pdf", "type": "application/pdf", "size": 703514, "path": "Publication:ohrhallinger_stefan-2018-pg", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ohrhallinger_stefan-2018-pg/ohrhallinger_stefan-2018-pg-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ohrhallinger_stefan-2018-pg/ohrhallinger_stefan-2018-pg-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ShapeAcquisition" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ohrhallinger_stefan-2018-pg/", "__class": "Publication" }, { "id": "Eckelt_2018_01", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Data-Driven User Guidance in Multi-Attribute Data Exploration", "date": "2018-08-18", "abstract": "Seeking relationships in multi-dimensional datasets is a common task, but can quickly\nbecome tedious due to the heterogeneity and increasing size of the data. Its visualization can be approached in a variety of ways: (i) projection techniques decrease the number of dimensions to a fraction before visualizing items, creating clusters where similarities in the high-level space may be derived; (ii) overview visualization techniques display selected\nattributes and all of their items’ values to discover patterns and find relationships; (iii) tabular techniques give an insight into the individual items and thus favor their detailed\nanalysis and exploration.\nHowever, while the interactive selection of a data subset during exploration is most easily done with tabular visualizations, finding relationships and patterns is not. Also, with overview techniques the number of attribute combinations quickly outgrows reasonable dimensions.\nIn this thesis, a data-driven touring process for Visual Analytics (VA) tools is presented that guides users in discovering relationships for a data subset of their interest. Based on the user’s selection, attributes that show some kind of similarity are presented. The selection can be done on attribute and item level. While a selected attribute is compared to all other attributes in the dataset, item sets are compared to the individual\ncategories of attributes. This comparison can be based on a number of similarity measures.\nTo cope with heterogeneity of data types, numerical attributes are discretized to achieve maximum similarity. In hierarchical attributes, the most similar subtree is sought. The touring process is also independent of the data domain and its visualization. This independence is demonstrated by the use of three different datasets and the integration of the touring process into two VA systems. These extended systems were shown to medical experts of the Kepler University Hospital, who will use them in the near future. Their feedback was incorporated to improve the guidance process.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 574, "image_height": 317, "name": "Eckelt_2018_01-image.JPG", "type": "image/jpeg", "size": 32290, "path": "Publication:Eckelt_2018_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/Eckelt_2018_01-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/Eckelt_2018_01-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1401 ], "date_end": "2018-08-18", "date_start": "2018-01-03", "matrikelnr": "1127705", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 574, "image_height": 317, "name": "Eckelt_2018_01-image.JPG", "type": "image/jpeg", "size": 32290, "path": "Publication:Eckelt_2018_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/Eckelt_2018_01-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/Eckelt_2018_01-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Eckelt_2018_01-Master thesis.pdf", "type": "application/pdf", "size": 12430400, "path": "Publication:Eckelt_2018_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/Eckelt_2018_01-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/Eckelt_2018_01-Master thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Eckelt_2018_01-Poster.pdf", "type": "application/pdf", "size": 343124, "path": "Publication:Eckelt_2018_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/Eckelt_2018_01-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/Eckelt_2018_01-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/", "__class": "Publication" }, { "id": "OPPTIZ-2018-IVRL", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Implementing Virtual Ray Lights for Rendering Scenes with Participating Media", "date": "2018-08-07", "abstract": "This thesis documents the full implementation of the method Virtual Ray Lights for\nRendering Scenes with Participating Media. As a basic understanding of the foundations\nof rendering and related approaches is necessary to understand this complex method,\nthese foundations are discussed first. There, the rendering equation and the physical\nbehaviour of light is described. Additionally, rendering approaches like Recursive Ray\nTracing and Photon Mapping that do not consider participating media, as well as methods\nlike Volumetric Photon Mapping, Virtual Point Lights and Photon Beams, which are\nable to render participating media, are evaluated.\nFor the discussion on Virtual Ray Lights, the evaluation takes place in three parts.\nFirst, the method is discussed in general with a mathematical analysis. Afterwards,\nimplementation details are evaluated where pseudocode examples are provided. Lastly,\nthe rendered results of the implementation are evaluated thoroughly. These results are\nalso compared to provided images from various research papers.\nThe goal of this thesis is to provide an implementation of Virtual Ray Lights, as\nwell as providing the tools to implement this method in other projects. We provide the\nwell-documented source code for this project, with the scene settings to recreate the\nexamples.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 639, "image_height": 511, "name": "OPPTIZ-2018-IVRL-image.jpg", "type": "image/jpeg", "size": 39420, "path": "Publication:OPPTIZ-2018-IVRL", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/OPPTIZ-2018-IVRL/OPPTIZ-2018-IVRL-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/OPPTIZ-2018-IVRL/OPPTIZ-2018-IVRL-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1501 ], "date_end": "2018-08-07", "date_start": "2018-01-01", "matrikelnr": "01227129", "supervisor": [ 1073, 193 ], "research_areas": [ "Rendering" ], "keywords": [ "global illumination", 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visually pleasing way, which makes it suitable even \nfor notebooks with low-end GPUs. \nThe data structure consists of a randomly shuffled array of points that is incrementally generated \non-the-fly while points are being loaded. \n\nDue to this, it can be used to directly view point clouds in common sequential formats such as LAS or LAZ while they are being loaded and without the need to generate spatial acceleration structures in advance, as long as the data fits into GPU memory.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1213, "image_height": 662, "name": "schuetz-2018-PPC-.png", "type": "image/png", "size": 1023977, "path": "Publication:schuetz-2018-PPC", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuetz-2018-PPC/schuetz-2018-PPC-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": 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children and adolescents. In an interdisciplinary project between psychology and computer science, we developed four mini-games that are used during therapy sessions to battle different aspects of attentional disorders. First experiments show that the immersive game-like application is well received by children. Our tool is also currently part of a treatment program in an ongoing clinical study.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1500, "image_height": 1000, "name": "kroesl-2018-TVS-.png", "type": "image/png", "size": 2314610, "path": "Publication:kroesl-2018-TVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1030, 1599, 1600, 1601, 1602, 193, 1603 ], "cfp": { "name": "call_for_posters.pdf", "type": "application/pdf", "error": "0", "size": "630843", "orig_name": "call_for_posters.pdf", "ext": "pdf" }, "date_from": "2018-08-12", "date_to": "2018-08-16", "doi": "10.1145/3230744.3230817", "event": "ACM SIGGRAPH 2018", "isbn": "978-1-4503-5817-0", "location": "Vancouver, Canada", "pages_from": "Article 27", "publisher": "ACM", "research_areas": [ "Perception", "Rendering" ], "keywords": [ "virtual reality", "attentional disorders", "user study" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1500, "image_height": 1000, "name": "kroesl-2018-TVS-.png", "type": "image/png", "size": 2314610, "path": "Publication:kroesl-2018-TVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-:thumb{{size}}.png" }, { "description": null, "filetitle": "abstract", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl-2018-TVS-abstract.pdf", "type": "application/pdf", "size": 20280477, "path": "Publication:kroesl-2018-TVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-abstract.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-abstract:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 900, "preview_image_height": 1200, "name": "kroesl-2018-TVS-poster.pdf", "type": "application/pdf", "size": 5352291, "path": "Publication:kroesl-2018-TVS", "preview_name": "kroesl-2018-TVS-poster:preview.png", "preview_type": "image/png", "preview_size": 1288394, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 853, "preview_image_height": 481, "name": "kroesl-2018-TVS-video.mp4", "type": "video/mp4", "size": 161407034, "path": "Publication:kroesl-2018-TVS", "preview_name": "kroesl-2018-TVS-video:preview.png", "preview_type": "image/png", "preview_size": 105824, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-video:video.mp4" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/", "__class": "Publication" }, { "id": "zsolnai-2018-gms", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Gaussian Material Synthesis", "date": "2018-08", "abstract": "We present a learning-based system for rapid mass-scale material synthesis that is useful for novice and expert users alike. The user preferences are learned via Gaussian Process Regression and can be easily sampled for new recommendations. Typically, each recommendation takes 40-60 seconds to render with global illumination, which makes this process impracticable for real-world workflows. Our neural network eliminates this bottleneck by providing high-quality image predictions in real time, after which it is possible to pick the desired materials from a gallery and assign them to a scene in an intuitive manner. Workflow timings against Disney’s “principled” shader reveal that our system scales well with the number of sought materials, thus empowering even novice users to generate hundreds of high-quality material models without any expertise in material modeling. Similarly, expert users experience a significant decrease in the total modeling time when populating a scene with materials. Furthermore, our proposed solution also offers controllable recommendations and a novel latent space variant generation step to enable the real-time fine-tuning of materials without requiring any domain expertise.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser2", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2043, "image_height": 2229, "name": "zsolnai-2018-gms-teaser2.jpg", "type": "image/jpeg", "size": 1534101, "path": "Publication:zsolnai-2018-gms", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-teaser2.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-teaser2:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1073, 194, 193 ], "date_from": "2018-08-06", "date_to": "2018-08-12", "doi": "10.1145/3197517.3201307", "event": "SIGGRAPH 2018", "issn": "0730-0301", "journal": "ACM Transactions on Graphics (SIGGRAPH 2018)", "lecturer": [ 1073 ], "location": "Vancouver, Canada", "number": "4", "open_access": "yes", "pages_from": "76:1", "pages_to": "76:14", "volume": "37", "research_areas": [ "Rendering" ], "keywords": [ "gaussian material synthesis", "neural rendering", "neural rendering" ], "weblinks": [ { "href": "https://users.cg.tuwien.ac.at/zsolnai/gfx/gaussian-material-synthesis/", "caption": "Project webpage with source code", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "zsolnai-2018-gms-paper.pdf", "type": "application/pdf", "size": 53921452, "path": "Publication:zsolnai-2018-gms", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "supplementary", "main_file": true, "use_in_gallery": false, "access": "public", "name": "zsolnai-2018-gms-supplementary.pdf", "type": "application/pdf", "size": 19797132, "path": "Publication:zsolnai-2018-gms", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-supplementary.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-supplementary:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2688, "image_height": 1512, "name": "zsolnai-2018-gms-teaser.jpg", "type": "image/jpeg", "size": 1551044, "path": "Publication:zsolnai-2018-gms", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser2", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2043, "image_height": 2229, "name": "zsolnai-2018-gms-teaser2.jpg", "type": "image/jpeg", "size": 1534101, "path": "Publication:zsolnai-2018-gms", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-teaser2.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-teaser2:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "zsolnai-2018-gms-video.mp4", "type": "video/mp4", "size": 635323427, "path": "Publication:zsolnai-2018-gms", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-video:video.mp4" } ], "projects_workgroups": [ "PathSpace" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/", "__class": "Publication" }, { "id": "HECHER-2017-HDY", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "How Do Users Map Points Between Dissimilar Shapes?", "date": "2018-08", "abstract": "Finding similar points in globally or locally similar shapes has been studied extensively through the use of various point descriptors or shape-matching methods. However, little work exists on finding similar points in dissimilar shapes. In this paper, we present the results of a study where users were given two dissimilar two-dimensional shapes and asked to map a given point in the first shape to the point in the second shape they consider most similar. We find that user mappings in this study correlate strongly with simple geometric relationships between points and shapes. To predict the probability distribution of user mappings between any pair of simple two-dimensional shapes, two distinct statistical models are defined using these relationships. We perform a thorough validation of the accuracy of these predictions and compare our models qualitatively and quantitatively to well-known shape-matching methods. Using our predictive models, we propose an approach to map objects or procedural content between different shapes in different design scenarios.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1323, "image_height": 742, "name": "HECHER-2017-HDY-image.png", "type": "image/png", "size": 1637744, "path": "Publication:HECHER-2017-HDY", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/HECHER-2017-HDY/HECHER-2017-HDY-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/HECHER-2017-HDY/HECHER-2017-HDY-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 779, 627, 194, 193 ], "doi": "10.1109/TVCG.2017.2730877", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "number": "8", "open_access": "no", "pages_from": "2327", "pages_to": "2338", "volume": "24", "research_areas": [ "Modeling", "Perception" ], "keywords": [ "shape matching", "transformations", "shape similarity" ], "weblinks": [], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "HECHER-2017-HDY-draft.pdf", "type": "application/pdf", "size": 13870249, "path": "Publication:HECHER-2017-HDY", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/HECHER-2017-HDY/HECHER-2017-HDY-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/HECHER-2017-HDY/HECHER-2017-HDY-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1323, "image_height": 742, "name": "HECHER-2017-HDY-image.png", "type": "image/png", "size": 1637744, "path": "Publication:HECHER-2017-HDY", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/HECHER-2017-HDY/HECHER-2017-HDY-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/HECHER-2017-HDY/HECHER-2017-HDY-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/HECHER-2017-HDY/", "__class": "Publication" }, { "id": "Bauer_David_2018", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Automated Visual Assessment of Osteoarthritis", "date": "2018-07-17", "abstract": "Computer-aided visualisations are a powerful tool to make large datasets more accessible. Artificial intelligence (AI) also offers diverse ways in which to extract semantic values from large data stocks. It enables users to analyse records in ways that often exceed conventional methods in their specificity and accuracy.\nMedicine - more specifically those specialisations requiring imaging methods - are in need of sophisticated visualisation techniques. Our team at ImageBiopsy Lab [Lju17] runs development and research in the field of AI aided visualisations in medicine. For my thesis I developed a system for measuring the joint space in x-rays of the knee, based on existing concepts. Results of the measurements are processed and presented to the user as an augmented picture. This is achieved by employing different layers of graphical\noverlays on top of the original image. All measurements are based on parameters of the\nKellgren and Lawrence System (KLS) for classification of Osteoarthritis (OA).\nThe proposed method enables its users to asses the stage and tendency of OA in the\nknee at first glance as compared to conventional methods, which can be tedious and time-consuming. Calculated focus points in the mask layers can also be adjusted in\nreal time to accommodate for statistical outliers. The system was incorporated into\nan existing web-based framework which already demonstrates its potential in a clinical environment.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 372, "image_height": 313, "name": "Bauer_David_2018-image.JPG", "type": "image/jpeg", "size": 21458, "path": "Publication:Bauer_David_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_David_2018/Bauer_David_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_David_2018/Bauer_David_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1597 ], "date_end": "2018-07-17", "date_start": "2018-03-10", "matrikelnr": "01442385", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Bauer_David_2018-Bachelor Thesis.pdf", "type": "application/pdf", "size": 12160314, "path": "Publication:Bauer_David_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_David_2018/Bauer_David_2018-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_David_2018/Bauer_David_2018-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 372, "image_height": 313, "name": "Bauer_David_2018-image.JPG", "type": "image/jpeg", "size": 21458, "path": "Publication:Bauer_David_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_David_2018/Bauer_David_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_David_2018/Bauer_David_2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_David_2018/", "__class": "Publication" }, { "id": "Masopust_2018", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Web-Based Osteoarthritis-Analysis Generating Data from Native Libraries and Machine-Learning Models", "date": "2018-07-08", "abstract": "As artificial intelligence (AI) progresses with seemingly unstoppable speed, its wide field of applications broadens by the day. One area where AI advancements appear to be\nespecially promising is their employment in the medical sector. Nowadays, due to the\nwider availability of processing power, algorithms based on neuronal networks can be used to generate far more data in areas where it previously seemed unthinkable.\nTraditional image-processing-algorithms often utilize computer vision (CV)-algorithms such as edge-detection to generate data from pixel input. While this method of gaining data worked well in the past, AI can help to improve the precision of such an analysis. The area I focussed on in this thesis is the generation of data from x-ray images of the knee joint. ImageBiopsy Lab (IB Lab)’s algorithms relied heavily on CV-based analysis\nfor the diagnosis of osteoarthritis (OA) in the knee. While this yielded good results in the past, this work will show that the use of deep neuronal networks improves accuracy in a significant way.\nFurther, neuronal networks can provide additional information that was a lot harder to be gained before, such as the laterality of a given image.\nThe aim of this project was to diagnose OA faster and more precisely than in the\npast and to embed it into a web-based solution for broader accessibility. To showcase the benefits of the described method, at the time of writing, our software is in the stage of\nbeing rolled out in a hospital in Lower Austria.\nBecause of the advancements mentioned above, this work will focus on the description and comparison of gaining information from x-ray images for a meaningful and efficient diagnosis of OA in the knee. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 703, "image_height": 466, "name": "Masopust_2018-image.JPG", "type": "image/jpeg", "size": 52585, "path": "Publication:Masopust_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Masopust_2018/Masopust_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Masopust_2018/Masopust_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1595 ], "date_end": "2018-07-08", "date_start": "2018-03-08", "matrikelnr": "01427382", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Masopust_2018-Bachelor Thesis.pdf", "type": "application/pdf", "size": 17023920, "path": "Publication:Masopust_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Masopust_2018/Masopust_2018-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Masopust_2018/Masopust_2018-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 703, "image_height": 466, "name": "Masopust_2018-image.JPG", "type": "image/jpeg", "size": 52585, "path": "Publication:Masopust_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Masopust_2018/Masopust_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Masopust_2018/Masopust_2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Masopust_2018/", "__class": "Publication" }, { "id": "8564188", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Progressive Annotation of Schematic Railway Maps", "date": "2018-07", "abstract": "Octilinear network layouts are commonly used as the schematic\nrepresentation of railway maps due to their enhanced readability.\nHowever, it is often time-consuming to place station names on such\nrailway maps by trial and error, especially within the limited labeling\nspace around interchange stations. This paper presents a progressive\napproach to placing station names around stations in schematic railway\nmaps for better automation of map labeling processes. The idea behind\nour approach is to annotate stations in dense downtown areas around the\ninterchange stations first and then those in sparse rural areas. This is\nachieved by introducing the sum of geodesic distances over the railway\nnetwork to identify the proper order in which to annotate stations. In\nthe actual annotation process, we increase the labeling space around the\nrailway network when necessary by progressively stretching railway line\nsegments while retaining their original directions, which allows us to\nrespect the original schematic layout as much as possible. We present\nseveral experimental results to demonstrate the effectiveness of the\nproposed approach, together with a discussion on parameter tuning in our\nformulation.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "8564188-image.png", "type": "image/png", "size": 28813, "path": "Publication:8564188", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/8564188/8564188-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/8564188/8564188-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1624, 1625, 1626, 1464, 1627, 1580 ], "booktitle": "Proceedings of the 22nd International Conference Information Visualisation (IV)", "doi": "10.1109/iV.2018.00070", "event": "The 22nd International Conference Information Visualisation (IV)", "lecturer": [ 1464 ], "pages": "373-378", "research_areas": [ "InfoVis" ], "keywords": [ "Rail transportation;Layout;Labeling;Spacestations;Optimization;Programming;Visualization;Progressive annotation,geodesic distances", "schematic layouts", "railway maps", "mixed-integerprogramming" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "8564188-image.png", "type": "image/png", "size": 28813, "path": "Publication:8564188", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/8564188/8564188-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/8564188/8564188-image:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/8564188/", "__class": "Publication" }, { "id": "schwaerzler_2018_phd", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/7290", "title": "Advances in the Multimodal 3D Reconstruction and Modeling of Buildings", "date": "2018-06-27", "abstract": "Driven by the need for faster and more efficient workflows in the digitization of urban environments, the availability of affordable 3D data-acquisition systems for buildings has drastically increased in the last years: Laser scanners and photogrammetric methods both produce millions of 3D points within minutes of acquisition time. They are applied both\non street-level as well as from above using drones, and are used to enhance traditional\ntachymetric measurements in surveying. However, these 3D data points are not the only available information: Extracted meta data from images, simulation results (e.g., from light simulations), 2D floor plans, and semantic tags – especially from the upcoming Building Information Modeling (BIM) systems – are becoming increasingly important.\nThe challenges this multimodality poses during the reconstruction of CAD-ready 3D\nbuildings are manifold: Apart from handling the enormous size of the data that is\ncollected during the acquisition steps, the different data sources must also be registered to each other in order to be applicable in a common context – which can be difficult in case of missing or erroneous information. Nevertheless, the potential for improving both\nthe workflow efficiency as well as the quality of the reconstruction results is huge: Missing information can be substituted by data from other sources, information about spatial or semantic relations can be utilized to overcome limitations, and interactive modeling\ncomplexity can be reduced (e.g., by limiting interactions to a two-dimensional space).\nIn this thesis, four publications are presented which aim at providing freely combinable “building blocks” for the creation of helpful methods and tools for advancing the field of Multimodal Urban Reconstruction. First, efficient methods for the calculation of shadows cast by area light sources are presented – one with a focus on the most efficient generation of physically accurate penumbras, and the other one with the goal of reusing\nsoft shadow information in consecutive frames to avoid costly recalculations. Then, a novel, optimization-supported reconstruction and modeling tool is presented, which employs sketch-based interactions and snapping techniques to create water-tight 3D building models. An extension to this system is demonstrated consecutively: There, 2D photos act as the only interaction canvas for the simple, sketch-based creation of building geometry and the corresponding textures. Together, these methods form a solid foundation for the creation of common, multimodal environments targeted at the reconstruction of 3D building models.", "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": 232, "name": "schwaerzler_2018_phd-image.PNG", "type": "image/png", "size": 61239, "path": "Publication:schwaerzler_2018_phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/schwaerzler_2018_phd-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/schwaerzler_2018_phd-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 678 ], "date_end": "2018", "date_start": "2010", "open_access": "yes", "reviewer_1": [ 823 ], "reviewer_2": [ 378 ], "rigorosum": "2018-10-23", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 248, "image_height": 232, "name": "schwaerzler_2018_phd-image.PNG", "type": "image/png", "size": 61239, "path": "Publication:schwaerzler_2018_phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/schwaerzler_2018_phd-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/schwaerzler_2018_phd-image:thumb{{size}}.png" }, { "description": null, "filetitle": "PhD-Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "schwaerzler_2018_phd-PhD-Thesis.pdf", "type": "application/pdf", "size": 7485949, "path": "Publication:schwaerzler_2018_phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/schwaerzler_2018_phd-PhD-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/schwaerzler_2018_phd-PhD-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/", "__class": "Publication" }, { "id": "Oancea_2018_1", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Four Texture Algorithms for Recognizing Early Signs of Osteoarthritis. Data from the Multicenter Osteoarthritis Study.", "date": "2018-06-27", "abstract": "This master thesis aims to provide an in-depth comparison of four texture algorithms\nin their capacity of discriminating patients with osteoarthritis (OA) from the ones without, recognizing early signs of Osteoarthritis and tracking disease progression from 2D radiographs of the knee trabecular bone (TB). Given the fractal properties of the trabecular bone (TB), two fractal-based algorithms (Bone Variance Value (BVV) and Bone Score Value (BSV)) that try to characterize the complexity of the underlying 3D structure of the bone are presented. The third algorithm (Bone Entropy Value (BEV), based on Shannon’s Entropy) stems from the information theory and aims to describe the bone structure in terms of information complexity. The last algorithm (Bone Coocurrence Value (BCV)) is based on the co-occurrence matrix of an image and describes the image texture in terms of certain Haralick features. If successful, such algorithms posses a great potential to lower the costs (financial, time) associated with the diagnosis of osteoarthritis (OA) through automation of the procedure, and with the treatment. The earlier treatments and risk reduction measures are less costly than the\nprocedures involved due to a more advanced stage of the disease (surgery, implants, etc.).\nFirst, a motivation for the detection of early osteoarthritis (OA) is given. Second, a detailed description and mathematical background of the algorithms are presented and validated on sample, artificial data. Third, the employed data sets used for classification tests are introduced. Fourth, the statistical methods and neural network models employed are presented and discussed. Fifth, the features produced by each algorithm are discussed and their independent and combined capacity of discriminating between bones with early signs of OA and healthy bones. Also the capacity of tracking OA progression\nthrough the years is quantified by statistical tests. Also in this part we present the best classification scores obtained from the most optimal neural networks for each use case. Finally, thoughts on future improvements and the generalization of the algorithms in other anatomical contexts, for other diseases or in other fields, like histology and\nmammography, are made.\nIn this work we show that the state-of-the-art in OA prediction can be surpassed by\nutilizing only models based on texture features alone. Our gender-stratified analysis produces a prediction score of 83% for males and 81% for females in terms of Area Under the Receiver Operating Characteristic Curve (ROC-AUC).", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 244, "image_height": 240, "name": "Oancea_2018_1-image.JPG", "type": "image/jpeg", "size": 25341, "path": "Publication:Oancea_2018_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/Oancea_2018_1-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/Oancea_2018_1-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1361 ], "date_end": "2018-06-27", "date_start": "2018-01-03", "matrikelnr": "01227706", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 244, "image_height": 240, "name": "Oancea_2018_1-image.JPG", "type": "image/jpeg", "size": 25341, "path": "Publication:Oancea_2018_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/Oancea_2018_1-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/Oancea_2018_1-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": false, "use_in_gallery": true, "access": "public", "name": "Oancea_2018_1-Master thesis.pdf", "type": "application/pdf", "size": 9691116, "path": "Publication:Oancea_2018_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/Oancea_2018_1-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/Oancea_2018_1-Master thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Oancea_2018_1-poster.pdf", "type": "application/pdf", "size": 1104405, "path": "Publication:Oancea_2018_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/Oancea_2018_1-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/Oancea_2018_1-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/", "__class": "Publication" }, { "id": "Miao2018FDN", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "A Preview to Adenita: Visualization and Modeling of DNA Nanostructures", "date": "2018-06-08", "abstract": "We present Adenita, an open-source software that aims to provide an integrated in silico\ndesign toolkit for DNA Nanostructures. It facilitates the modular assembly of pre-existing\nand de novo designs, regardless of the used approach. Adenita is being developed in the\ncontext of the MARA project [1], a highly ambitious project aiming to produce a DNA\nnanorobot capable of targeted cell lyses. Currently, the existing design and visualization\ntools are insufficient to solve the specific challenges in our project. We aim to overcome\nthese limitations with Adenita, a new semi-automated approach that we are developing as\nthe MARA project advances. Adenita integrates visualizations [2] with user interactions and\nalgorithms in a semi-manual approach. At the core, we use a hierarchical data model that\nenables us to combine both a top-down (DAEDALUS [3]) and a bottom-up (caDNAno [4])\ndesign approach of the DNA Nanostructure. From the DNA data model, we create smooth\nvisualizations that depict the structure in multiple scales from its atomic details to a highlevel\ngeometric representation of the target shape. In addition, we employ different layouts\nfor the same structure [5]: 3D structural representations, 2D caDNAno-style diagrams, and\n1D display of the linear sequences. Creators enable the parametrized generation of\nstructural motifs, while Manipulators facilitate the advanced modifications of the structural\nproperties, such as connecting components and adding bridging strands. Analysis of the\ndesigns is still in a preliminary phase, but it already enables the straightforward estimation\nof distances and the melting temperatures [6] of binding regions. The first DNA\nnanostructures that we designed with the new tool are now under experimental evaluation.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 857, "image_height": 1242, "name": "Miao2018FDN-image.png", "type": "image/png", "size": 1074408, "path": "Publication:Miao2018FDN", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/Miao2018FDN-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/Miao2018FDN-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1474, 1263, 960, 166, 171, 1473 ], "cfp": { "name": "fdn2018_abstracts.pdf", "type": "application/pdf", "error": "0", "size": "3495981", "orig_name": "fdn2018_abstracts.pdf", "ext": "pdf" }, "date_from": "2018-06-06", "date_to": "2018-06-08", "event": "3rd Functional DNA Nanotechnology Workshop", "location": "Rome", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 857, "image_height": 1242, "name": "Miao2018FDN-image.png", "type": "image/png", "size": 1074408, "path": "Publication:Miao2018FDN", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/Miao2018FDN-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/Miao2018FDN-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": false, "use_in_gallery": true, "access": "public", "preview_image_width": 857, "preview_image_height": 1242, "name": "Miao2018FDN-Poster.pdf", "type": "application/pdf", "size": 2534428, "path": "Publication:Miao2018FDN", "preview_name": "Miao2018FDN-Poster:preview.png", "preview_type": "image/png", "preview_size": 1074408, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/Miao2018FDN-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/Miao2018FDN-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/", "__class": "Publication" }, { "id": "GANTNER-2018-ARO", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "AR Overlays for Leica VIS with Vulkan", "date": "2018-06", "abstract": "Using the existing Visual Inertial System (VIS) for pose estimation, BIM (Building Information\nManagement) information is displayed using Augmented Reality technology. Specific usecases,\nfor example, stakeout or CAD previews are implemented to demonstrate the\nadvantages of such overlays.\nThe focus of the implementation is on creating a correct representation of the physical camera\nin the virtual scene and render objects on top of the incoming video stream of the device. For a\ngood AR experience the objects should be distorted according to the camera’s distortion\nmodel and be occluded correctly with the environment.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1142, "image_height": 899, "name": "GANTNER-2018-ARO-image.jpg", "type": "image/jpeg", "size": 229568, "path": "Publication:GANTNER-2018-ARO", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GANTNER-2018-ARO/GANTNER-2018-ARO-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GANTNER-2018-ARO/GANTNER-2018-ARO-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1637 ], "date_end": "2018-10-29", "date_start": "2018-06-13", "matrikelnr": "1576033", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "description", "main_file": true, "use_in_gallery": false, "access": "public", "name": "GANTNER-2018-ARO-description.pdf", "type": "application/pdf", "size": 888137, "path": "Publication:GANTNER-2018-ARO", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GANTNER-2018-ARO/GANTNER-2018-ARO-description.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GANTNER-2018-ARO/GANTNER-2018-ARO-description:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1142, "image_height": 899, "name": "GANTNER-2018-ARO-image.jpg", "type": "image/jpeg", "size": 229568, "path": "Publication:GANTNER-2018-ARO", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GANTNER-2018-ARO/GANTNER-2018-ARO-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GANTNER-2018-ARO/GANTNER-2018-ARO-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GANTNER-2018-ARO/", "__class": "Publication" }, { "id": "wu-2018-metabo", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "A Visual Comparison of Hand-Drawn and Machine-Generated Human Metabolic Pathways", "date": "2018-06", "abstract": "This poster abstract presents a visual comparison between three hand-drawn and one machine-generated human metabolic pathway diagrams. The human metabolic pathways, which describe significant biochemical reactions in the human body, have been increasingly investigated due to the development of analysis processes and are compiled into pathway diagrams to provide an overview of reaction in the human body. This complex network includes about 5,000 metabolites and 7,500 reactions, which are hierarchically nested and difficult to visualize. We collect and analyze well-known human metabolic pathway diagrams, and summarize the design choices of these diagrams, respectively. Together with a machine-generated diagram, we can understand the visual complexity of three hand-drawn and one machine-generated diagrams.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 566, "image_height": 800, "name": "wu-2018-metabo-image.png", "type": "image/png", "size": 677575, "path": "Publication:wu-2018-metabo", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1579, 171 ], "cfp": { "name": "eurovis2018-poster.pdf", "type": "application/pdf", "error": "0", "size": "35735", "orig_name": "eurovis2018-poster.pdf", "ext": "pdf" }, "date_from": "2018-06-04", "date_to": "2018-06-08", "event": "EuroVis", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 566, "image_height": 800, "name": "wu-2018-metabo-image.png", "type": "image/png", "size": 677575, "path": "Publication:wu-2018-metabo", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2018-metabo-poster.pdf", "type": "application/pdf", "size": 85587001, "path": "Publication:wu-2018-metabo", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/", "__class": "Publication" }, { "id": "miao2018Dimsum", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "DimSUM: Dimension and Scale Unifying Maps for Visual Abstraction of DNA Origami Structures", "date": "2018-06", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 3302, "image_height": 1884, "name": "miao2018Dimsum-Image.png", "type": "image/png", "size": 2858278, "path": "Publication:miao2018Dimsum", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263, 1474, 960, 166, 1473, 171 ], "date_from": "2017-06", "date_to": "2018-06", "event": "EuroVis Conference 2018", "journal": "Computer Graphics Forum", "lecturer": [ 1263 ], "location": "Brno, Czech Republic", "number": "3", "volume": "37", "research_areas": [ "BioVis", "IllVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 3302, "image_height": 1884, "name": "miao2018Dimsum-Image.png", "type": "image/png", "size": 2858278, "path": "Publication:miao2018Dimsum", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "preview_image_width": 3302, "preview_image_height": 1884, "name": "miao2018Dimsum-Paper.pdf", "type": "application/pdf", "size": 50814642, "path": "Publication:miao2018Dimsum", "preview_name": "miao2018Dimsum-Paper:preview.png", "preview_type": "image/png", "preview_size": 2858278, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Recording", "main_file": false, "use_in_gallery": false, "access": "public", "name": "miao2018Dimsum-Recording.mp4", "type": "video/mp4", "size": 236260449, "path": "Publication:miao2018Dimsum", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Recording.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Recording:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Recording:video.mp4" }, { "description": null, "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 3302, "preview_image_height": 1884, "name": "miao2018Dimsum-Video.mp4", "type": "video/mp4", "size": 97832153, "path": "Publication:miao2018Dimsum", "preview_name": "miao2018Dimsum-Video:preview.png", "preview_type": "image/png", "preview_size": 2858278, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Video:video.mp4" } ], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/", "__class": "Publication" }, { "id": "mazurek-2018-veq", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visualizing Expanded Query Results", "date": "2018-06", "abstract": "When performing queries in web search engines, users often face difficulties choosing appropriate query terms. Search engines\ntherefore usually suggest a list of expanded versions of the user query to disambiguate it or to resolve potential term mismatches.\nHowever, it has been shown that users find it difficult to choose an expanded query from such a list. In this paper, we describe\nthe adoption of set-based text visualization techniques to visualize how query expansions enrich the result space of a given\nuser query and how the result sets relate to each other. Our system uses a linguistic approach to expand queries and topic\nmodeling to extract the most informative terms from the results of these queries. In a user study, we compare a common text list\nof query expansion suggestions to three set-based text visualization techniques adopted for visualizing expanded query results\n– namely, Compact Euler Diagrams, Parallel Tag Clouds, and a List View – to resolve ambiguous queries using interactive\nquery expansion. Our results show that text visualization techniques do not increase retrieval efficiency, precision, or recall.\nOverall, users rate Parallel Tag Clouds visualizing key terms of the expanded query space lowest. Based on the results, we derive\nrecommendations for visualizations of query expansion results, text visualization techniques in general, and discuss alternative\nuse cases of set-based text visualization techniques in the context of web search.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Density-based compact Euler Diagram", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 919, "image_height": 656, "name": "mazurek-2018-veq-teaser.png", "type": "image/png", "size": 34882, "path": "Publication:mazurek-2018-veq", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1364, 1110 ], "cfp": { "name": "EuroVis 2018 CfP.pdf", "type": "application/pdf", "error": "0", "size": "55844", "orig_name": "EuroVis 2018 CfP.pdf", "ext": "pdf" }, "date_from": "2018-06-04", "date_to": "2018-06-08", "event": "EG / VGTC Conference on Visualization (EuroVis)", "journal": "Computer Graphics Forum", "lecturer": [ 1364 ], "location": "Brno, Czech Republic", "pages_from": "87", "pages_to": "98", "research_areas": [ "InfoVis", "NetVis" ], "keywords": [ "Information visualization", "search interfaces", "empirical studies in visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mazurek-2018-veq-paper.pdf", "type": "application/pdf", "size": 1891501, "path": "Publication:mazurek-2018-veq", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-paper:thumb{{size}}.png" }, { "description": "Density-based compact Euler Diagram", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 919, "image_height": 656, "name": "mazurek-2018-veq-teaser.png", "type": "image/png", "size": 34882, "path": "Publication:mazurek-2018-veq", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mazurek-2018-veq-video.mp4", "type": "video/mp4", "size": 30231176, "path": "Publication:mazurek-2018-veq", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-video:video.mp4" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/", "__class": "Publication" }, { "id": "steinboeck-2017-vbn", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Visual Exploration Interface for Large Bipartite Networks", "date": "2018-05-30", "abstract": "In this thesis we introduce BiCFlows, a novel interactive visualization approach to explore large bipartite graphs. We were motivated by the Media Transparency Database, a public database established by the Austrian government to provide information about governmental advertising and subsidies expenses, which holds the characteristics of a large, weighted bipartite graph.\nCurrent approaches that deal with the visualization of the Media Transparency Database are limited by the fact that they do not offer a sufficient overview of the whole dataset. Other existing approaches that are not particularly designed for the Media Transparency Database, but deal with the visualization of bipartite graphs are in addition limited by their lack of scalability for large datasets.\nAggregation is an often used concept in reducing the amount of data by grouping together similar data objects. This only works if the appropriate object properties are present in the data to use them for the aggregation. If this additional information is missing, like in the Media Transparency Database, other aggregation techniques have to be used. Since we are dealing with bipartite graphs in our approach, we use the concept of biclustering to establish a hierarchical structure within the data that can be interactively explored by the user.\nWe showed that BiCFlows cannot only be used for the Media Transparency Database, but also for other datasets that share the characteristics of a weighted bipartite graph. Furthermore, we conducted an insight-based user study to compare BiCFlows with existing concepts and discussed advantages and drawbacks. We showed that BiCFlows supported users in their exploration process and let them gain more insight than with existing approaches.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "sketch", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 649, "image_height": 462, "name": "steinboeck-2017-vbn-sketch.PNG", "type": "image/png", "size": 30764, "path": "Publication:steinboeck-2017-vbn", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-sketch.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-sketch:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1378 ], "date_end": "2018-05-30", "date_start": "2017-07", "matrikelnr": "0826088", "open_access": "yes", "supervisor": [ 166, 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "steinboeck-2017-vbn-Master Thesis.pdf", "type": "application/pdf", "size": 14008127, "path": "Publication:steinboeck-2017-vbn", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "steinboeck-2017-vbn-Poster.pdf", "type": "application/pdf", "size": 1309833, "path": "Publication:steinboeck-2017-vbn", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-Poster:thumb{{size}}.png" }, { "description": null, "filetitle": "sketch", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 649, "image_height": 462, "name": "steinboeck-2017-vbn-sketch.PNG", "type": "image/png", "size": 30764, "path": "Publication:steinboeck-2017-vbn", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-sketch.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-sketch:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/", "__class": "Publication" }, { "id": "Karall2017CVAB", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Comparative Visual Analytics in a Cohort of Breast Cancer Patients", "date": "2018-05-25", "abstract": "The most common cancer among the female population in the economically developed\nworld is breast cancer. To significantly reduce the mortality among affected women, an early diagnosis is essential, and also treatment strategies need to be selected carefully. Clinical researchers working on the selection of chemotherapy treatment need to analyze the progress of the disease during and after treatment and to understand how different groups of patients respond to selected treatments. Currently this is a difficult task because of the multitude of involved (imaging and non-imaging) data, for which adequate\nvisualizations are required. The aim of this work is to help clinical researchers working on the analysis of the progress of chemotherapy to understand and explore the multitude of data they have.\nThis thesis introduces a web-based framework realizing three tasks of exploring and analyzing imaging and non-imaging data of breast cancer patients in a cohort. A functionality for single patient follow-up studies (intra-patient study), a functionality to compare two different patients (pairwise inter-patient study) and a functionality to compare groups of patients (groupwise inter-patient study) are provided to enable an easier exploration and analysis of the available multivariate cohort data. To begin with, the imaging and non-imaging data underwent some preprocessing steps, such as\nregistration, segmentation and calculation of tumor probability maps, to make them\ncomparable. Afterwards, we carefully designed and implemented several multiple linked views, where interactive representations show distinct aspects of the data from which the clinical researcher can understand and analyze the available cohort data. A number of use cases to demonstrate the results that can be achieved with the provided framework are\nperformed and they illustrate the functionality and also the importance of the designed and implemented visual analytics framework. Using this framework, clinical researchers are able to visually explore and analyze the multitude of both imaging and non-imaging data of a patient and compare patients within a cohort, which was not possible before with any available exploratory tools.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 465, "image_height": 179, "name": "Karall2017CVAB-image.JPG", "type": "image/jpeg", "size": 23788, "path": "Publication:Karall2017CVAB", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2017CVAB/Karall2017CVAB-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2017CVAB/Karall2017CVAB-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1480 ], "date_end": "2018-05-25", "date_start": "2017-08-01", "matrikelnr": "00625631", "supervisor": [ 1410, 166 ], "research_areas": [ "MedVis" ], "keywords": [ "comparative visual analytics", "breast cancer" ], "weblinks": [ { "href": "https://www.cg.tuwien.ac.at/courses/projekte/comparative-visual-analytics-breast-cancer-patients", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 465, "image_height": 179, "name": "Karall2017CVAB-image.JPG", "type": "image/jpeg", "size": 23788, "path": "Publication:Karall2017CVAB", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2017CVAB/Karall2017CVAB-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2017CVAB/Karall2017CVAB-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Karall2017CVAB-Master Thesis.pdf", "type": "application/pdf", "size": 20362428, "path": "Publication:Karall2017CVAB", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2017CVAB/Karall2017CVAB-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2017CVAB/Karall2017CVAB-Master Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2017CVAB/", "__class": "Publication" }, { "id": "Karall2018_2", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Comparative Visual Analytics in a Cohort of Breast Cancer Patients", "date": "2018-05-25", "abstract": "The most common cancer among the female population in the economically developed world is breast cancer. To signifcantly reduce the mortality among affected women an early diagnosis is essential, and also treatment strategies need to be selected carefully. Clinical researchers working on the selection of chemotherapy treatment need to analyze the progress of the disease\nduring and after treatment and to understand how diffent groups of patients respond to selected treatments. Currently this is a diffcult task because of the multitude of involved imaging and non-imaging) data, for which adequate visualizations are required. The aim of this work is to help clinical researchers, who are working on the analysis of the progress of chemotherapy, to understand and explore the multitude of data they have. To this end, the following three tasks were realized in a web-based framework:\n1. Functionality for single patient follow-up studies (intra-patient study)\n2. Functionality to compare two different patients (pairwise inter-patient study)\n3. Functionality to compare groups of patients (groupwise inter-patient study)\nIn the examples below, we demonstrate only the latter, as it can be considered an overset of the other two tasks.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 458, "image_height": 438, "name": "Karall2018_2-image.JPG", "type": "image/jpeg", "size": 49900, "path": "Publication:Karall2018_2", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2018_2/Karall2018_2-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2018_2/Karall2018_2-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1480 ], "date_from": "2018-06-18", "date_to": "2018-06-18", "event": "EPILOG ", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 458, "image_height": 438, "name": "Karall2018_2-image.JPG", "type": "image/jpeg", "size": 49900, "path": "Publication:Karall2018_2", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2018_2/Karall2018_2-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2018_2/Karall2018_2-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Karall2018_2-Poster.pdf", "type": "application/pdf", "size": 3168095, "path": "Publication:Karall2018_2", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2018_2/Karall2018_2-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2018_2/Karall2018_2-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2018_2/", "__class": "Publication" }, { "id": "Tramberger_2018", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Automatic Breast Lesion Evaluation for Comparative Studies", "date": "2018-05-18", "abstract": "Breast cancer is the most common cancer with a high mortality rate. Neoadjuvant\nchemotherapie is conducted before surgery to reduce the breast tumor mass. Currently,\na lot of trials are taking place, with the purpose of understanding the effects of different chemotherapy strategies. In this work a software is developed to analyse and compare the influence of these treatments. The study data is available as 4D Dynamic Contrast-Enhanced Magnetic Resonance Imaging data. To reduce the time of manual segmentation and the connection of segmented lesions over time a automatic procedure was implemented. This process uses the time-signal intensity curve and a support vector machine to classify\nlesions with calculated morphological features. To analyse the data, two views are available. The Intra-patient view visualizes the tumor behaviour of an individual patient over time. With the Multi-patient view the user is able to compare multiple patients’ lesions and additional added patient data. Both views are implemented with JavaScript and can be expanded easily. Because of missing ground truth an evaluation of the automatic segmentation method was not possible.", "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": 259, "name": "Tramberger_2018-image.JPG", "type": "image/jpeg", "size": 29680, "path": "Publication:Tramberger_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tramberger_2018/Tramberger_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tramberger_2018/Tramberger_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1481 ], "date_end": "2018-05-08", "date_start": "2017-12-01", "matrikelnr": "01326870", "supervisor": [ 1410 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Tramberger_2018-Bachelor Thesis.pdf", "type": "application/pdf", "size": 2104529, "path": "Publication:Tramberger_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tramberger_2018/Tramberger_2018-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tramberger_2018/Tramberger_2018-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 481, "image_height": 259, "name": "Tramberger_2018-image.JPG", "type": "image/jpeg", "size": 29680, "path": "Publication:Tramberger_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tramberger_2018/Tramberger_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tramberger_2018/Tramberger_2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tramberger_2018/", "__class": "Publication" }, { "id": "gusenbauer-2018-P", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Bitstream - Top-Down/Bottom-Up Data Processing for Interactive Bitcoin Visualization.", "date": "2018-05-14", "abstract": "Analyzing large amounts of data is becoming an ever increasing problem. Bitcoin as an\nexample has produced more data than is possible to analyze. In order to compensate for these difficulties, creative ideas that employ data aggregation or minimization have been proposed. Other work also focuses on introducing novel visualization types that are geared towards the visualization of blockchain data. However, visualization of graphs through node-link diagrams remains a difficult challenge. Analysis of the Bitcoin transaction graph to follow bitcoin (BTC) transactions (TXs) poses a difficult problem due to the Bitcoin\nprotocol and the amount of data. This thesis combines two data processing strategies to visualize big network data on commodity hardware. The idea is to use visualization as a technique to analyze a data-set containing Bitcoin transaction information. Criminals use Bitcoin as a means of payment because of its guaranteed pseudonymity. Through visualization we aim to identify patterns that will allow us to deanonymize transactions.\nTo do so we use a proxy server that does data preprocessing before they are visualized on a web client. The proxy leverages parallel computing to be able to do top-down and bottom-up data processing fast enough for interactive visualization. This is done through incremental loading (bottom-up), which enables to visualize data immediately without a (pre-)processing delay. The database containing the public Bitcoin ledger is over 163 gigabytes in size. The resulting graph has more than 800 million nodes. As this information is too much to be visualized, we also employ a top-down approach of data aggregation and graph minimization of the transactional graph. Through this methodology we intend to solve performance problems of long processing delays and the problem of fractured data where the data is shown only partially in the visualization.\nWe collaborate with security experts who share insights into their expertise through a continuously ongoing dialog. Exploratory analysis on a big data-set such as the Bitcoin ledger, enabled through the methodology presented in this thesis, will help security experts to analyze the money flow in a financial network that is used by criminals for its anonymity. We evaluate the result through the performance and feedback of these security experts as well as benchmark the performance against current best practice approaches.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 279, "image_height": 149, "name": "gusenbauer-2018-P-image.JPG", "type": "image/jpeg", "size": 18488, "path": "Publication:gusenbauer-2018-P", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018-P/gusenbauer-2018-P-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018-P/gusenbauer-2018-P-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1257 ], "date_from": "2018-06-18", "date_to": "2018-06-18", "event": "EPILOG", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 279, "image_height": 149, "name": "gusenbauer-2018-P-image.JPG", "type": "image/jpeg", "size": 18488, "path": "Publication:gusenbauer-2018-P", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018-P/gusenbauer-2018-P-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018-P/gusenbauer-2018-P-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": false, "use_in_gallery": true, "access": "public", "name": "gusenbauer-2018-P-Poster.pdf", "type": "application/pdf", "size": 707107, "path": "Publication:gusenbauer-2018-P", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018-P/gusenbauer-2018-P-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018-P/gusenbauer-2018-P-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018-P/", "__class": "Publication" }, { "id": "gusenbauer-2018", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Bitstream - A bottom-up/top-down hybrid approach for web-based visual analysis of big data", "date": "2018-05-14", "abstract": "Analyzing large amounts of data is becoming an ever increasing problem. Bitcoin as an\nexample has produced more data than is possible to analyze. In order to compensate for these difficulties, creative ideas that employ data aggregation or minimization have been proposed. Other work also focuses on introducing novel visualization types that are geared towards the visualization of blockchain data. However, visualization of graphs through node-link diagrams remains a difficult challenge. Analysis of the Bitcoin transaction graph to follow bitcoin (BTC) transactions (TXs) poses a difficult problem due to the Bitcoin\nprotocol and the amount of data. This thesis combines two data processing strategies to visualize big network data on commodity hardware. The idea is to use visualization as a technique to analyze a data-set containing Bitcoin transaction information. Criminals use Bitcoin as a means of payment because of its guaranteed pseudonymity. Through visualization we aim to identify patterns that will allow us to deanonymize transactions. To do so we use a proxy server that does data preprocessing before they are visualized on a web client. The proxy leverages parallel computing to be able to do top-down and bottom-up data processing fast enough for interactive visualization. This is done through incremental loading (bottom-up), which enables to visualize data immediately\nwithout a (pre-)processing delay. The database containing the public Bitcoin ledger is over 163 gigabytes in size. The resulting graph has more than 800 million nodes. As this information is too much to be visualized, we also employ a top-down approach of data aggregation and graph minimization of the transactional graph. Through this methodology we intend to solve performance problems of long processing delays and the problem of fractured data where the data is shown only partially in the visualization.\nWe collaborate with security experts who share insights into their expertise through a continuously ongoing dialog. Exploratory analysis on a big data-set such as the Bitcoin ledger, enabled through the methodology presented in this thesis, will help security experts to analyze the money flow in a financial network that is used by criminals for its anonymity. We evaluate the result through the performance and feedback of these security experts as well as benchmark the performance against current best practice approaches.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 237, "image_height": 113, "name": "gusenbauer-2018-image.JPG", "type": "image/jpeg", "size": 11712, "path": "Publication:gusenbauer-2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/gusenbauer-2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/gusenbauer-2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1257 ], "date_end": "2018-05-14", "date_start": "2016-11", "matrikelnr": "1125577", "supervisor": [ 1110, 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 237, "image_height": 113, "name": "gusenbauer-2018-image.JPG", "type": "image/jpeg", "size": 11712, "path": "Publication:gusenbauer-2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/gusenbauer-2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/gusenbauer-2018-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "gusenbauer-2018-Master thesis.pdf", "type": "application/pdf", "size": 12125980, "path": "Publication:gusenbauer-2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/gusenbauer-2018-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/gusenbauer-2018-Master thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/", "__class": "Publication" }, { "id": "mazza-2012-bakk", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Optimized Sorting for Out-of-Core Surface Reconstruction", "date": "2018-05-04", "abstract": "In recent years the amount of acquisition methods for point clouds has been increasing consequently and it is getting more and more interesting for society. Even if it is possible to render point clouds directly, nowadays there exist many more algorithms which deal with triangle meshes than point clouds. For example 3D printer software requires watertight meshes as input. This makes automatic conversion of point sets to triangle meshes an important research topic. The aim of this Bachelor Thesis was to implement a plugin for Scanopy (a point cloud editing and rendering program) which can convert point clouds with hundreds of millions of samples in such a detailed degree that the data exceeds common main memory sizes. Therefore, an out-of-core algorithm was needed. The used out-of-core Poisson surface reconstruction approach requires the sorting of the input point samples in a preprocessing step. In this Bachelor Thesis it is shown that the sorting of the data with an optimized multithreaded merge sort algorithm can improve the total required time for the reconstruction process significantly. Further, this work indicates a problem which occurs while reconstructing meshes with a Poisson based reconstruction approach from scans of an open terrain. The problem leads to large unnecessary triangles which hide the reconstructed surface. A very basic solution approach for this problem is also stated.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 758, "image_height": 836, "name": "mazza-2012-bakk-image.png", "type": "image/png", "size": 63835, "path": "Publication:mazza-2012-bakk", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/mazza-2012-bakk-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/mazza-2012-bakk-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1035 ], "date_end": "2018-05-04", "date_start": "2012-10-01", "matrikelnr": "0825828", "supervisor": [ 614, 193 ], "research_areas": [ "Geometry" ], "keywords": [ "surface reconstruction", "out-of-core", "point processing" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 758, "image_height": 836, "name": "mazza-2012-bakk-image.png", "type": "image/png", "size": 63835, "path": "Publication:mazza-2012-bakk", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/mazza-2012-bakk-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/mazza-2012-bakk-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mazza-2012-bakk-thesis.pdf", "type": "application/pdf", "size": 8761718, "path": "Publication:mazza-2012-bakk", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/mazza-2012-bakk-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/mazza-2012-bakk-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "TERAPOINTS" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/", "__class": "Publication" }, { "id": "Schernthaner-2017-MCP", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Multipath Curved Planar Reformations of Peripheral CT Angiography: Diagnostic Accuracy and Time Efficiency", "date": "2018-05-01", "abstract": "Objectives To compare diagnostic performance and time\nefficiency between 3D multipath curved planar reformations\n(mpCPRs) and axial images of CT angiography for\nthe pre-interventional assessment of peripheral arterial\ndisease (PAD), with digital subtraction angiography as the\nstandard of reference.\nMethods Forty patients (10 females, mean age 72 years),\nreferred to CTA prior to endovascular treatment of PAD,\nwere prospectively included and underwent peripheral CT\nangiography. A semiautomated toolbox was used to render\nmpCPRs. Twenty-one arterial segments were defined in\neach leg; for each segment, the presence of stenosis[70%\nwas assessed on mpCPRs and axial images by two readers,\nindependently, with digital subtraction angiography as gold\nstandard.\nResults Both readers reached lower sensitivity (Reader 1:\n91 vs. 94%, p = 0.08; Reader 2: 89 vs. 93%, p = 0.03) but\nsignificantly higher specificity (Reader 1: 94 vs. 89%,\np\\0.01; Reader 2: 96 vs. 95%, p = 0.01) with mpCPRs\nthan with axial images. Reader 1 achieved significantly\nhigher accuracy with mpCPRs (93 vs. 91%, p = 0.02), and Reader 2 had similar overall accuracy in both evaluations\n(94 vs. 94%, p = 0.96). Both readers read mpCPRs significantly\nfaster than axial images (Reader 1: 504500 based\non mpCPRs vs. 704000 based on axial images; Reader 2:\n404100 based on mpCPRs vs. 605700 based on axial images;\np\\0.01).\nConclusions mpCPRs are a promising 3D reformation\ntechnique that facilitates a fast assessment of PAD with\nhigh diagnostic accuracy.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1531, 1532, 1533, 1288, 869, 166, 1289, 1047 ], "doi": "10.1007/s00270-017-1846-3", "issn": "0174-1551", "journal": "CardioVascular and Interventional Radiology", "number": "5", "pages_from": "718", "pages_to": "725", "volume": "41", "research_areas": [], "keywords": [ "PAD", "CTA", "3D reformation", "mpCPRs" ], "weblinks": [ { "href": "https://link.springer.com/article/10.1007%2Fs00270-017-1846-3", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Schernthaner-2017-MCP/", "__class": "Publication" }, { "id": "birsak-2017-dpe", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Dynamic Path Exploration on Mobile Devices", "date": "2018-05", "abstract": "We present a novel framework for visualizing routes on mobile devices. Our framework is suitable for helping users explore their environment.\nFirst, given a starting point and a maximum route length, the system retrieves nearby points of interest (POIs). Second, we automatically compute an attractive walking path through the environment trying to pass by as many highly ranked POIs as possible. Third, we automatically compute a route visualization that shows the current user position, POI locations via pins, and detail lenses for more information about the POIs. The visualization is an animation of an orthographic map view that follows the current user position. We propose an optimization based on a binary integer program (BIP) that models multiple requirements for an effective placement of detail lenses. We show that our path computation method outperforms recently proposed methods and we evaluate the overall impact of our framework in two user studies.", "authors_et_al": false, "substitute": null, "main_image": { "description": "thumbnail", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2002, "image_height": 1246, "name": "birsak-2017-dpe-thumbnail.png", "type": "image/png", "size": 1540567, "path": "Publication:birsak-2017-dpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-thumbnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-thumbnail:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 836, 844, 194, 193 ], "doi": "10.1109/TVCG.2017.2690294", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "number": "5", "pages_from": "1784", "pages_to": "1798", "protocol": "null", "volume": "24", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "overview image", "filetitle": "overview", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2229, "image_height": 2762, "name": "birsak-2017-dpe-overview.png", "type": "image/png", "size": 3708886, "path": "Publication:birsak-2017-dpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-overview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-overview:thumb{{size}}.png" }, { "description": null, "filetitle": "preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "birsak-2017-dpe-preprint.pdf", "type": "application/pdf", "size": 39449554, "path": "Publication:birsak-2017-dpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-preprint:thumb{{size}}.png" }, { "description": null, "filetitle": "supplementary", "main_file": false, "use_in_gallery": false, "access": "public", "name": "birsak-2017-dpe-supplementary.pdf", "type": "application/pdf", "size": 26746193, "path": "Publication:birsak-2017-dpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-supplementary.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-supplementary:thumb{{size}}.png" }, { "description": "thumbnail", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2002, "image_height": 1246, "name": "birsak-2017-dpe-thumbnail.png", "type": "image/png", "size": 1540567, "path": "Publication:birsak-2017-dpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-thumbnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-thumbnail:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "birsak-2017-dpe-video.mp4", "type": "video/mp4", "size": 45077025, "path": "Publication:birsak-2017-dpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-video:video.mp4" } ], "projects_workgroups": [ "Photo-Guide", "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/", "__class": "Publication" }, { "id": "VASILJEVS-2018-PMPL", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Procedural Modelling of Park Layouts", "date": "2018-05", "abstract": "Procedural Modelling in Computer Graphics automates content generation, where commonly\nmanual methods have been employed, as in using modelling applications like Maya.\nGrammar-based methods allow to describe creation of objects at a higher level, encoding\ndesign decisions in rule files and enabling generation of infinite variations by just altering\nthe parameters. Methods for the synthesis of landscapes, street networks, buildings,\nand vegetation have been described. In the context of the city generation, CityEngine\ncombines some such techniques into a commercial solution that can be used to generate\nthe whole city at once.\nIn the context of park synthesis, the process is divided into layout generation and placement\nof objects in it. Typically, a park layout is either created manually and inserted into\nthe reserved area, or a shape grammar designed for building synthesis is employed. In the\nfirst case, a change to the design or the surrounding regions could result in considerable\nmodifications required of the user. At the present moment, generation of parks and green\nspaces in a city is rather limited and mainly focused on vegetation placement.\nThe aim of our work was to design a method for park layout synthesis, which when\ncombined with basic placement methods could be used to create believable park models.\nBased on the observation of real-life parks and 3D models of parks, we have derived a\nnumber of patterns, which have been translated into the rules of our novel shape grammar.\nIn particular, we introduce a rule for creating curved regions, which, to our knowledge,\nhas not been addressed yet at this level in grammar-based methods. We also introduce a\nnovel way to index arbitrary subset of the boundary and provide an additional insetting\noperation based on that. In our work we have considered the context of CityEngine as a\npossible use case.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 640, "image_height": 360, "name": "VASILJEVS-2018-PMPL-image.jpg", "type": "image/jpeg", "size": 56641, "path": "Publication:VASILJEVS-2018-PMPL", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/VASILJEVS-2018-PMPL-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/VASILJEVS-2018-PMPL-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1609 ], "date_end": "2018-07-16", "date_start": "2016", "diploma_examina": "2018-07-16", "matrikelnr": "0727773", "open_access": "yes", "supervisor": [ 1303, 193 ], "research_areas": [ "Modeling" ], "keywords": [ "procedural modeling", "park layouts" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 640, "image_height": 360, "name": "VASILJEVS-2018-PMPL-image.jpg", "type": "image/jpeg", "size": 56641, "path": "Publication:VASILJEVS-2018-PMPL", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/VASILJEVS-2018-PMPL-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/VASILJEVS-2018-PMPL-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "VASILJEVS-2018-PMPL-poster.pdf", "type": "application/pdf", "size": 5054949, "path": "Publication:VASILJEVS-2018-PMPL", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/VASILJEVS-2018-PMPL-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/VASILJEVS-2018-PMPL-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "VASILJEVS-2018-PMPL-thesis.pdf", "type": "application/pdf", "size": 18212360, "path": "Publication:VASILJEVS-2018-PMPL", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/VASILJEVS-2018-PMPL-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/VASILJEVS-2018-PMPL-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "PAMINA" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/", "__class": "Publication" }, { "id": "Kathi-2018-VRB", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "A VR-based user study on the effects of vision impairments on recognition distances of escape-route signs in buildings", "date": "2018-04-30", "abstract": "In workplaces or publicly accessible buildings, escape routes are signposted according to official norms or international standards that specify distances, angles and areas of interest for the positioning of escape-route signs. In homes for the elderly, in which the residents commonly have degraded mobility and suffer from vision impairments caused by age or eye diseases, the specifications of current norms and standards may be insufficient. Quantifying the effect of symptoms of vision impairments like reduced visual acuity on recognition distances is challenging, as it is cumbersome to find a large number of user study participants who suffer from exactly the same form of vision impairments. Hence, we propose a new methodology for such user studies: By conducting a user study in virtual reality (VR), we are able to use participants with normal or corrected sight and simulate vision impairments graphically. The use of standardized medical eyesight tests in VR allows us to calibrate the visual acuity of all our participants to the same level, taking their respective visual acuity into account. Since we primarily focus on homes for the elderly, we accounted for their often limited mobility by implementing a wheelchair simulation for our VR application.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 327, "image_height": 327, "name": "Kathi-2018-VRB-image.JPG", "type": "image/jpeg", "size": 24451, "path": "Publication:Kathi-2018-VRB", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/Kathi-2018-VRB-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/Kathi-2018-VRB-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1030, 1551, 678, 1492, 193, 1559 ], "date_from": "2018-06-11", "date_to": "2018-06-14", "doi": "10.1007/s00371-018-1517-7", "event": "Computer Graphics International (CGI)", "issn": "0178-2789", "journal": "The Visual Computer", "lecturer": [ 1030 ], "location": "Bintan, Indonesia", "number": "6-8", "open_access": "yes", "pages_from": "911", "pages_to": "923", "volume": "34", "research_areas": [ "Perception", "Rendering", "VR" ], "keywords": [], "weblinks": [ { "href": "https://link.springer.com/article/10.1007%2Fs00371-018-1517-7", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 327, "image_height": 327, "name": "Kathi-2018-VRB-image.JPG", "type": "image/jpeg", "size": 24451, "path": "Publication:Kathi-2018-VRB", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/Kathi-2018-VRB-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/Kathi-2018-VRB-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Kathi-2018-VRB-Paper.pdf", "type": "application/pdf", "size": 1077352, "path": "Publication:Kathi-2018-VRB", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/Kathi-2018-VRB-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/Kathi-2018-VRB-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/", "__class": "Publication" }, { "id": "Purgathofer-2018-EG", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "Best Practice in Technology Transfer", "date": "2018-04-19", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "event": "Eurographics Industrial Presentations", "lecturer": [ 190 ], "location": "Delft, NL", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Purgathofer-2018-EG/", "__class": "Publication" }, { "id": "Cai_2018", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Research on Graphical Interfaces to Perform Anatomical Queries on Large Collections of Gene Expression Images", "date": "2018-04-06", "abstract": "As image information is increasing sharply, searching and presenting interesting images\nin large databases have become more and more important in image management. In this\npaper, an optimizing graphical query interface was designed for anatomical search to present more valuable information from the large neuro-anatomical image collections of Drosophila (fruit fly) brains. In order to achieve the goal, the relevant websites of “Fly Circuit”, “Fly Light” and “Allen Mouse Brain Atlas”, and the image management software of PivotViewer and Zegami were investigated firstly. Then, analysis and comparison for\nthe mentioned tools using different perspectives were conducted to define the guidelines for best practices out of them. Based on the findings, several redesigns are proposed for neuro-anatomical query interfaces and part of them were implemented. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 506, "image_height": 278, "name": "Cai_2018-image.JPG", "type": "image/jpeg", "size": 38696, "path": "Publication:Cai_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/Cai_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/Cai_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1553 ], "date_end": "2018-04-06", "date_start": "2017-10-06", "matrikelnr": "1425123", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Cai_2018-Bachelor Thesis.pdf", "type": "application/pdf", "size": 28622827, "path": "Publication:Cai_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/Cai_2018-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/Cai_2018-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 506, "image_height": 278, "name": "Cai_2018-image.JPG", "type": "image/jpeg", "size": 38696, "path": "Publication:Cai_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/Cai_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/Cai_2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/", "__class": "Publication" }, { "id": "waldner-2018-ved", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Data Exploration and Analysis in Emerging Display Environments ", "date": "2018-04-05", "abstract": "Increasingly powerful computing and display hardware open up entirely new ways for visual data exploration and analysis. Powerful machines and emerging display environments facilitate novel visual exploration techniques, collaborative data analysis, and even immersion into the scientific data. This talk will address the challenges we faced when bringing biomolecular visual analysis tools and complex molecular visualizations into such large, multi-user environments. A special focus lies on interfaces and attention guidance techniques we designed and evaluated to keep the user oriented and reduce visual clutter. ", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1110 ], "event": "Emerging Technologies in Scientific Data Visualisation - CECAM", "location": "Pisa, Italy", "research_areas": [], "keywords": [], "weblinks": [ { "href": "https://www.cecam.org/workshop-1586.html", "caption": "CECAM workshop", "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/waldner-2018-ved/", "__class": "Publication" }, { "id": "wu-2018-story", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "The Travel of a Metabolite", "date": "2018-04", "abstract": "Biological pathways are chains of molecule interactions and reactions in biological systems that jointly form complex, hierarchical networks. Although several pathway layout algorithms have been investigated, biologists still prefer to use hand-drawn ones, due to their high visual quality relied on domain knowledge. In this project, we propose a visualization for computing metabolic pathway maps that restrict the grouping structure defined by biologists to rectangles and apply orthogonal-style edge routing to simplify edge orientation. This idea is inspired by concepts from urban planning, where we consider reactions as city blocks and built up roads to connect identical metabolites occurred in multiple categories. We provide a story to present how glucose is broken down to phosphoenolpyruvate to release energy, which is often stored in adenosine triphosphate (ATP) in a human body. Finally, we demonstrate ATP is also utilized to synthesize urea to eliminate the toxic ammonia in our body.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2018-story-image.png", "type": "image/png", "size": 91891, "path": "Publication:wu-2018-story", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1579, 171 ], "note": "submitted to PacificVis 2018 Data Story Telling Contest", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://vimeo.com/258174044", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2018-story-image.png", "type": "image/png", "size": 91891, "path": "Publication:wu-2018-story", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2018-story-paper.pdf", "type": "application/pdf", "size": 601059, "path": "Publication:wu-2018-story", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2018-story-video.mov", "type": "video/quicktime", "size": 15567398, "path": "Publication:wu-2018-story", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-video.mov", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-video:video.mp4" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/", "__class": "Publication" }, { "id": "cizmic-2018-evd", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Exploratory Data Visualization Dashboard for Technical Analysis of Commodity Market Indicators", "date": "2018-04", "abstract": "Companies and traders working in the commodity market encounter a variety of different\ndata sets, including numerous economic indicators. The analysis of those indicators and\ntheir connection to certain markets can lead to important insights. The understanding of\nthe market can be improved and predictions of the future market development can be\ncreated. However, dozens of economic indicators exist and one of the main challenges is\nto show a clear overview of the indicators and identify those, which show a correlation\nto a certain market. Software tools are often utilised in order to perform the analysis\nof financial markets. However, according to domain experts, they often hit the limit of\nhuman perception capabilities. This thesis focuses on the development of a prototypical\nweb application dashboard, which enables the user to analyse the relation between\na defined commodity market and different economic indicators. Besides the relation\nbetween one indicator and a given market, the possibility to interactively create one’s own\ncomposite indicator, for comparison with the given market, is implemented. The process\nof creating a composite indicator is another challenge as it requires numerous decisions to\nbe made. The dashboard therefore offers a platform for exploring the different composite\nindicator configurations. Moreover, the web-application provides also some visualization\nand interaction techniques, like highlighting, brushing and details-on-demand to enhance\nthe comparison process and amplify human cognition.", "authors_et_al": false, "substitute": null, "main_image": { "description": "composite indicator view", "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 909, "image_height": 378, "name": "cizmic-2018-evd-screenshot.PNG", "type": "image/png", "size": 63662, "path": "Publication:cizmic-2018-evd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/cizmic-2018-evd-screenshot.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/cizmic-2018-evd-screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1462 ], "date_end": "2018-04", "date_start": "2017-05", "matrikelnr": "1425788", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "composite indicator view", "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 909, "image_height": 378, "name": "cizmic-2018-evd-screenshot.PNG", "type": "image/png", "size": 63662, "path": "Publication:cizmic-2018-evd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/cizmic-2018-evd-screenshot.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/cizmic-2018-evd-screenshot:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "cizmic-2018-evd-thesis.pdf", "type": "application/pdf", "size": 2131622, "path": "Publication:cizmic-2018-evd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/cizmic-2018-evd-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/cizmic-2018-evd-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/", "__class": "Publication" }, { "id": "Birsak2018-SA", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "String Art: Towards Computational Fabrication of String Images", "date": "2018-04", "abstract": "In this paper we propose a novel method for the automatic computation and digital fabrication of artistic string images. String\nart is a technique used by artists for the creation of abstracted images which are composed of straight lines of strings ten-\nsioned between pins distributed on a frame. Together the strings fuse to a perceptible image. Traditionally, artists craft such\nimages manually in a highly sophisticated and tedious design process. To achieve this goal fully automatically we propose a\ncomputational setup driven by a discrete optimization algorithm which takes an ordinary picture as input and converts it into\na connected graph of strings that tries to reassemble the input image best possibly. Furthermore, we propose a hardware setup\nfor automatic digital fabrication of these images using an industrial robot that spans the strings. Finally, we demonstrate the\napplicability of our approach by generating and fabricating a set of real string art images.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 836, "image_height": 411, "name": "Birsak2018-SA-image.png", "type": "image/png", "size": 437058, "path": "Publication:Birsak2018-SA", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 836, 1063, 194, 844 ], "date_from": "2018-04-16", "date_to": "2018-04-20", "doi": "10.1111/cgf.13359", "event": "EUROGRAPHICS 2018", "journal": "Computer Graphics Forum (Proc. EUROGRAPHICS 2018)", "lecturer": [ 836 ], "location": "Delft, The Netherlands", "number": "2", "open_access": "yes", "pages": "accepted", "pages_from": "263", "pages_to": "274", "volume": "37", "research_areas": [ "Fabrication", "Modeling" ], "keywords": [], "weblinks": [ { "href": "https://github.com/Exception1984/StringArt", "caption": "Source Code", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 836, "image_height": 411, "name": "Birsak2018-SA-image.png", "type": "image/png", "size": 437058, "path": "Publication:Birsak2018-SA", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-image:thumb{{size}}.png" }, { "description": "preprint", "filetitle": "preprint", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Birsak2018-SA-preprint.pdf", "type": "application/pdf", "size": 11581681, "path": "Publication:Birsak2018-SA", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-preprint:thumb{{size}}.png" }, { "description": null, "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Birsak2018-SA-slides.pptx", "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation", "size": 783112566, "path": "Publication:Birsak2018-SA", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-slides.pptx", "thumb_image_sizes": [] }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Birsak2018-SA-video.mp4", "type": "video/mp4", "size": 326776401, "path": "Publication:Birsak2018-SA", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-video:video.mp4" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/", "__class": "Publication" }, { "id": "smiech-2018-tei", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Configurable Text Exploration Interface with NLP for Decision Support", "date": "2018-04", "abstract": "Having to read and understand lots of text documents and reports on a daily basis can\nbe quite challenging. The intended audience for these reports has limited resources and\nwants to reduce time spent on reading such reports. Therefore a need for a tool emerges\nthat assists the process of gaining relevant information out of reports/documents more\nquickly. These text documents are often unstructured and of varying length. They are\nwritten in the English language and are available from different sources (such as RSS\nfeeds and text files). The aim of this project is to offer a tool that supports the process of\nanalysing and understanding given texts. This is made possible by using natural language\nprocessing (NLP) and text visualization (TextVis). TextVis is already a well known and\nfrequently used solution. The herein described project uses an NLP pipeline which serves\nas preprocessing for TextVis. To provide quick insight into the data, topic extraction\nmechanisms like Latent Dirichlet Allocation (LDA) or Non-negative Matrix Factorization\n(NMF) are available for the user to be chosen within the aforementioned pipeline. A major\nchallenge for TextVis is the configuration of the NLP pipeline, because there are many\ndifferent ways of doing so and a wide range of parameters to chose from. To overcome this\nissue, this project provides a solution that enables users to easily configure and customize\ntheir own NLP pipeline. It is designed to encourage these users to experiment with\ndifferent sequences of NLP operations and parameter configurations to find a solution\nthat suites them best. In order to keep it easy to use the software, it is implemented\nentirely using web technologies to be accessible in a common web browser. The resulting\nvisualization will emphasize particular parts of the text based on a set of different factors,\nif selected so. These factors can be topics, sentiments and part-of-speech-tagged words.\nThe focus of this work lies on a visual interface that enables and encourages users to\nadjust/optimize the underlying NLP pipeline (by selecting steps and setting parameters)\nand comparing their results. Evaluation with help of user feedback showed that certain\npipeline configurations work better for certain types of texts than others. Using the\nsolution created within this work, users can adapt the tool to their needs and also tweak\nit according to requirements. There is no universal configuration that works for all\ndocuments, however.", "authors_et_al": false, "substitute": null, "main_image": { "description": "detail text view", "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 985, "image_height": 585, "name": "smiech-2018-tei-screenshot.PNG", "type": "image/png", "size": 125879, "path": "Publication:smiech-2018-tei", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/smiech-2018-tei-screenshot.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/smiech-2018-tei-screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1463 ], "date_end": "2018-04", "date_start": "2017-05", "matrikelnr": "01426853", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "detail text view", "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 985, "image_height": 585, "name": "smiech-2018-tei-screenshot.PNG", "type": "image/png", "size": 125879, "path": "Publication:smiech-2018-tei", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/smiech-2018-tei-screenshot.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/smiech-2018-tei-screenshot:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "smiech-2018-tei-thesis.pdf", "type": "application/pdf", "size": 1305969, "path": "Publication:smiech-2018-tei", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/smiech-2018-tei-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/smiech-2018-tei-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/", "__class": "Publication" }, { "id": "PB-VRVis-2018-005", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "An Automated Verification Workflow for Planned Lighting Setups using BIM", "date": "2018-04", "abstract": "The use of Building Information Modeling (BIM) methods is becoming more\nand more established in the planning stage, during the construction, and\nfor the management of buildings. Tailored BIM software packages allow to\nhandle a vast amount of relevant aspects, but have so far not been\ncovering specialized tasks like the evaluation of light distributions in\nand around a 3D model of a building. To overcome this limitation, we\ndemonstrate the use of the open-source IFC format for preparing and\nexchanging BIM data to be used in our interactive light simulation\nsystem. By exploiting the availability of 3D data and semantic\ndescriptions, it is possible to automatically place measurement surfaces\nin the 3D scene, and evaluate the suitability and sustainability of a\nplanned lighting design according to given constraints and industry\nnorms. Interactive visualizations for fast analysis of the simulation\nresults, created using state-of-the-art web technologies, are seamlessly\nintegrated in the 3D work environment, helping the lighting designer to\nquickly improve the initial lighting solution with a few clicks.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 448, "image_height": 309, "name": "PB-VRVis-2018-005-image.png", "type": "image/png", "size": 116117, "path": "Publication:PB-VRVis-2018-005", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/PB-VRVis-2018-005-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/PB-VRVis-2018-005-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1494, 1030, 659, 1612, 1613, 678 ], "booktitle": "REAL CORP 2018, Proceedings", "editor": "M. Schrenk and V. V. Popovich and P. Zeile and P. Elisei and C. Beyerand G. Navratil", "event": "REAL CORP 2018", "isbn": "978-3-9504173-5-7", "lecturer": [ 1030 ], "pages": "55–65", "pages_from": "55", "pages_to": "65", "series": "REAL CORP", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 448, "image_height": 309, "name": "PB-VRVis-2018-005-image.png", "type": "image/png", "size": 116117, "path": "Publication:PB-VRVis-2018-005", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/PB-VRVis-2018-005-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/PB-VRVis-2018-005-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "PB-VRVis-2018-005-paper.pdf", "type": "application/pdf", "size": 2452259, "path": "Publication:PB-VRVis-2018-005", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/PB-VRVis-2018-005-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/PB-VRVis-2018-005-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis", "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/", "__class": "Publication" }, { "id": "Furmanova_2018", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "COZOID: contact zone identifier for visual analysis of protein-protein interactions", "date": "2018-04", "abstract": "Background: Studying the patterns of protein-protein interactions (PPIs) is fundamental for understanding thestructure and function of protein complexes. The exploration of the vast space of possible mutual configurations ofinteracting proteins and their contact zones is very time consuming and requires the proteomic expert knowledge.Results:In this paper, we propose a novel tool containing a set of visual abstraction techniques for the guidedexploration of PPI configuration space. It helps proteomic experts to select the most relevant configurations andexplore their contact zones at different levels of detail. The system integrates a set of methods that follow and supportthe workflow of proteomics experts. The first visual abstraction method, the Matrix view, is based on customizedinteractive heat maps and provides the users with an overview of all possible residue-residue contacts in all PPIconfigurations and their interactive filtering. In this step, the user can traverse all input PPI configurations and obtain anoverview of their interacting amino acids. Then, the models containing a particular pair of interacting amino acids canbe selectively picked and traversed. Detailed information on the individual amino acids in the contact zones and theirproperties is presented in the Contact-Zone list-view. The list-view provides a comparative tool to rank the best modelsbased on the similarity of their contacts to the template-structure contacts. All these techniques are interactivelylinked with other proposed methods, the Exploded view and the Open-Book view, which represent individualconfigurations in three-dimensional space. These representations solve the high overlap problem associated withmany configurations. Using these views, the structural alignment of the best models can also be visually confirmed.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 223, "image_height": 172, "name": "Furmanova_2018-image.JPG", "type": "image/jpeg", "size": 15338, "path": "Publication:Furmanova_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/Furmanova_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/Furmanova_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1733, 1254, 166, 171, 1734, 1248 ], "doi": " 10.1186/s12859-018-2113-6", "first_published": "2018-04", "journal": "BMC Bioinformatics", "number": "19:125 ", "open_access": "yes", "pages_from": "1", "pages_to": "25", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 223, "image_height": 172, "name": "Furmanova_2018-image.JPG", "type": "image/jpeg", "size": 15338, "path": "Publication:Furmanova_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/Furmanova_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/Furmanova_2018-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Furmanova_2018-Paper.pdf", "type": "application/pdf", "size": 5104732, "path": "Publication:Furmanova_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/Furmanova_2018-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/Furmanova_2018-Paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/", "__class": "Publication" }, { "id": "An-2018-CHI", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Thermorph: Democratizing 4D Printing of Self-Folding Materials and Interfaces", "date": "2018-04", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "An-2018-CHI-image.png", "type": "image/png", "size": 30709, "path": "Publication:An-2018-CHI", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/An-2018-CHI/An-2018-CHI-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/An-2018-CHI/An-2018-CHI-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1582, 1583, 1584, 1585, 1586, 1587, 1588, 1589, 1580, 1464, 1590, 1591 ], "booktitle": "CHI 2018", "event": "CHI 2018", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "An-2018-CHI-image.png", "type": "image/png", "size": 30709, "path": "Publication:An-2018-CHI", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/An-2018-CHI/An-2018-CHI-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/An-2018-CHI/An-2018-CHI-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/An-2018-CHI/", "__class": "Publication" }, { "id": "glanz-2017-pbrcomparison", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "A Comparison of Physically Based Rendering Systems", "date": "2018-03-30", "abstract": "In this thesis, a quantitative evaluation is performed to find the most relevant physically based rendering systems in research. As a consequence of this evaluation, the rendering systems Mitsuba, PBRT-v3 and LuxRender are compared to each other and their potential for interoperability is assessed. The goal is to find common materials and light models and analyze the effects of changing the parameters of those models.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Visual comparison of various physically based rendering systems.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1220, "image_height": 1076, "name": "glanz-2017-pbrcomparison-teaser.png", "type": "image/png", "size": 1962544, "path": "Publication:glanz-2017-pbrcomparison", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/glanz-2017-pbrcomparison/glanz-2017-pbrcomparison-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/glanz-2017-pbrcomparison/glanz-2017-pbrcomparison-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1542 ], "date_end": "2018-03-30", "date_start": "2017-03-06", "matrikelnr": "01329106", "supervisor": [ 1129, 193 ], "research_areas": [ "Rendering" ], "keywords": [ "physically based rendering", "Monte Carlo rendering", "pbrt", "Mitsuba", "LuxRender" ], "weblinks": [], "files": [ { "description": "Visual comparison of various physically based rendering systems.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1220, "image_height": 1076, "name": "glanz-2017-pbrcomparison-teaser.png", "type": "image/png", "size": 1962544, "path": "Publication:glanz-2017-pbrcomparison", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/glanz-2017-pbrcomparison/glanz-2017-pbrcomparison-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/glanz-2017-pbrcomparison/glanz-2017-pbrcomparison-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "glanz-2017-pbrcomparison-thesis.pdf", "type": "application/pdf", "size": 34420089, "path": "Publication:glanz-2017-pbrcomparison", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/glanz-2017-pbrcomparison/glanz-2017-pbrcomparison-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/glanz-2017-pbrcomparison/glanz-2017-pbrcomparison-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/glanz-2017-pbrcomparison/", "__class": "Publication" }, { "id": "Purgathofer-2018-HiG", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Wolfgang Straßer Memorial Lecture:\u000bHis Engagement for Vienna and Austria", "date": "2018-03-15", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "event": "HiGraphics'2018", "location": "Riezlern, A", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Purgathofer-2018-HiG/", "__class": "Publication" }, { "id": "Reiter2017CVAP", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Comparative Visualization of Pelvic Organ Segmentations", "date": "2018-03", "abstract": "Automatic segmentation of pelvic organs plays a major role in prostate cancer treatment and has high accuracy requirements. Segmentation experts are continuously working on improving their algorithms. However, natural anatomical variability of organs and structures is a common reason for which segmentation algorithms fail. Understanding why\nan algorithm fails in a specific case is of major importance. Segmentation experts expect that the shape and size of the organs can play an important role in the performance of their algorithms, but current means of exploration and analysis are limited and do not provide the necessary insight.\nThis thesis discusses the design and implementation of a web-based application allowing for easy exploration and analysis of shape variability in order to generate hypotheses about the relation between algorithm performance and shape of organs. A new way of comparatively visualizing multiple organs of multiple patients is introduced for a detailed shape comparison. The application was tested with segmentation meshes of a cohort of\n17 patients, each consisting of four pelvic organs and two organ-interfaces, which are\nlabeled and have per-triangle correspondence. The proposed tools already allow users to quickly identify mis-segmented organs and hypothesize about the relation of variability to anatomical features as well as segmentation quality. The approach was applied on pelvic organ segmentations, but it can be extended to other applications like comparison\nof segmentation algorithms or analysis of anatomical variability in general.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 385, "image_height": 345, "name": "Reiter2017CVAP-image.JPG", "type": "image/jpeg", "size": 23399, "path": "Publication:Reiter2017CVAP", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Reiter2017CVAP/Reiter2017CVAP-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Reiter2017CVAP/Reiter2017CVAP-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1479 ], "date_end": "2018-03-04", "date_start": "2017-04-01", "matrikelnr": "01226942", "supervisor": [ 1410, 166 ], "research_areas": [ "MedVis" ], "keywords": [ "comparative visualization", "statistical shape analysis" ], "weblinks": [ { "href": "https://www.cg.tuwien.ac.at/courses/projekte/comparative-visualization-pelvic-organ-segmentations ", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 385, "image_height": 345, "name": "Reiter2017CVAP-image.JPG", "type": "image/jpeg", "size": 23399, "path": "Publication:Reiter2017CVAP", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Reiter2017CVAP/Reiter2017CVAP-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Reiter2017CVAP/Reiter2017CVAP-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Reiter2017CVAP-Master Thesis.pdf", "type": "application/pdf", "size": 12069547, "path": "Publication:Reiter2017CVAP", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Reiter2017CVAP/Reiter2017CVAP-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Reiter2017CVAP/Reiter2017CVAP-Master Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Reiter2017CVAP/", "__class": "Publication" }, { "id": "Reichinger-2018-TAC", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Pictures in Your Mind: Using Interactive Gesture-Controlled Reliefs to Explore Art", "date": "2018-03", "abstract": "Tactile reliefs offer many benefits over the more classic\n raised line drawings or tactile diagrams, as depth, 3D shape,\n and surface textures are directly perceivable. Although often\n created for blind and visually impaired (BVI) people, a wider\n range of people may benefit from such multimodal material.\n However, some reliefs are still difficult to understand without\n proper guidance or accompanying verbal descriptions, hindering\n autonomous exploration.\n \n In this work, we present a gesture-controlled interactive audio\n guide (IAG) based on recent low-cost depth cameras that can be\n operated directly with the hands on relief surfaces during\n tactile exploration. The interactively explorable,\n location-dependent verbal and captioned descriptions promise\n rapid tactile accessibility to 2.5D spatial information in a\n home or education setting, to online resources, or as a kiosk\n installation at public places.\n \n We present a working prototype, discuss design decisions, and\n present the results of two evaluation studies: the first with 13\n BVI test users and the second follow-up study with 14 test users\n across a wide range of people with differences and difficulties\n associated with perception, memory, cognition, and\n communication. The participant-led research method of this\n latter study prompted new, significant and innovative\n developments.\n", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 879, 1573, 1574, 1575, 1576, 1577, 1578, 204, 228, 190 ], "journal": "ACM Transactions on Accessible Computing", "number": "2", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Reichinger-2018-TAC/", "__class": "Publication" }, { "id": "Szabo-2018-DA", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "A Composable and Reusable Photogrammetric Reconstruction Library", "date": "2018-03", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1002 ], "date_end": "2018-03", "date_start": "2017-10", "matrikelnr": "00925269", "note": "1", "supervisor": [ 228, 190 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": "We identify the\nsame feature in\ntwo images.\nFeatures must\nlook and move\nsimilarly across\nviewpoints.", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1240, "image_height": 466, "name": "Szabo-2018-DA-image.png", "type": "image/png", "size": 796141, "path": "Publication:Szabo-2018-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/Szabo-2018-DA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/Szabo-2018-DA-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Szabo-2018-DA-poster.pdf", "type": "application/pdf", "size": 673550, "path": "Publication:Szabo-2018-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/Szabo-2018-DA-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/Szabo-2018-DA-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Szabo-2018-DA-thesis.pdf", "type": "application/pdf", "size": 10276451, "path": "Publication:Szabo-2018-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/Szabo-2018-DA-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/Szabo-2018-DA-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/", "__class": "Publication" }, { "id": "santos-2017-dacge", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Distinctive Approaches to Computer Graphics Education", "date": "2018-02", "abstract": "This paper presents the latest advances and research in Computer Graphics education in a nutshell. It is concerned with topics that were presented at the Education Track of the Eurographics Conference held in Lisbon in 2016. We describe works corresponding to approaches to Computer Graphics education that are unconventional in some way and attempt to tackle unsolved problems and challenges regarding the role of arts in computer graphics education, the role of research-oriented activities in undergraduate education and the interaction among different areas of Computer Graphics, as well as their application to courses or extra-curricular activities. We present related works addressing these topics and report experiences, successes and issues in implementing the approaches.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1503, 1504, 1505, 1506, 583, 1507, 1303, 1256, 266, 730, 1508, 193, 1509 ], "doi": "10.1111/cgf.13305", "issn": "1467-8659", "journal": "Computer Graphics Forum", "number": "1", "pages_from": "403", "pages_to": "412", "volume": "37", "research_areas": [], "keywords": [ "Computer Graphics Education" ], "weblinks": [], "files": [], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/santos-2017-dacge/", "__class": "Publication" }, { "id": "Bauer_Dominik_2018_VR", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Evaluation of the Recognition Distances of Safety Signs in VR Considering Vision Impairments", "date": "2018-02", "abstract": "To facilitate the safe evacuation of buildings, escape-route safety signs need to be placed\nalong the whole escape route such that they are legible for building occupants. While\nstandards and legal requirements provide suggestions on how to select and place safety\nsigns to achieve this, they do not provide sufficient considerations concerning people\nsuffering from vision impairments. A main cause of vision impairment are age-related\neye diseases, with the most common symptom being the loss of visual acuity.\n\nWe investigate the influence of visual acuity on the ability to recognize safety signs using\na novel methodology, evaluating existing standards concerning vision impairments: We\ncalibrate the visual acuity of the test subjects to the same level via a standardized medical\ntest in VR. This is achieved by using test subjects with normal or corrected vision and\nsimulating the impairment in VR. Furthermore, we present a tool for lighting designers\nwhich enables them to check their designs considering maximum recognition distances to\ninvestigate problematic areas along an escape route.\n\nUsing our novel user-study methodology, we determined the recognition distances for\nsafety signs, observed under two different levels of visual acuity and varying observation\nangles. In addition, we determined the impact of the HTC Vive’s HMD on the visual\nacuity achievable in VR. We conclude that the existing standards fail to correctly estimate\nthe maximum recognition distances of safety signs for observers suffering from reduced\nvisual acuity.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 640, "image_height": 700, "name": "Bauer_Dominik_2018_VR-image.PNG", "type": "image/png", "size": 363350, "path": "Publication:Bauer_Dominik_2018_VR", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1551 ], "date_end": "2018-02-27", "date_start": "2017-02", "diploma_examina": "2018-02-27", "matrikelnr": "1227005", "supervisor": [ 193, 1030 ], "research_areas": [ "Rendering" ], "keywords": [ "virtual reality", "vision impairment simulation", "emergency lighting" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 640, "image_height": 700, "name": "Bauer_Dominik_2018_VR-image.PNG", "type": "image/png", "size": 363350, "path": "Publication:Bauer_Dominik_2018_VR", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-image:thumb{{size}}.png" }, { "description": null, "filetitle": "image2", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 675, "image_height": 675, "name": "Bauer_Dominik_2018_VR-image2.PNG", "type": "image/png", "size": 118063, "path": "Publication:Bauer_Dominik_2018_VR", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-image2.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-image2:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Bauer_Dominik_2018_VR-poster.pdf", "type": "application/pdf", "size": 4262784, "path": "Publication:Bauer_Dominik_2018_VR", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Bauer_Dominik_2018_VR-thesis.pdf", "type": "application/pdf", "size": 20239365, "path": "Publication:Bauer_Dominik_2018_VR", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Bauer_Dominik_2018_VR-video.mp4", "type": "video/mp4", "size": 20669319, "path": "Publication:Bauer_Dominik_2018_VR", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-video:video.mp4" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/", "__class": "Publication" }, { "id": "polatsek-2018-stv", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Exploring visual attention and saliency modeling for task-based visual analysis", "date": "2018-02", "abstract": "Memory, visual attention and perception play a critical role in the design of visualizations. The way users observe a visualization is affected by salient stimuli in a scene as well as by domain knowledge, interest, and the task. While recent saliency models manage to predict the users’ visual attention in visualizations during exploratory analysis, there is little evidence how much influence bottom-up saliency has on task-based visual analysis. Therefore, we performed an eye-tracking study with 47 users to determine the users’ path of attention when solving three low-level analytical tasks using 30 different charts from the MASSVIS database [1]. We also compared our task-based eye tracking data to the data from the original memorability experiment by Borkin et al. [2]. We found that solving a task leads to more consistent viewing patterns compared to exploratory visual analysis. However, bottom-up saliency of a visualization has negligible influence on users’ fixations and task efficiency when performing a low-level analytical task. Also, the efficiency of visual search for an extreme target data point is barely influenced by the target’s bottom-up saliency. Therefore, we conclude that bottom-up saliency models tailored towards information visualization are not suitable for predicting visual attention when performing task-based visual analysis. We discuss potential reasons and suggest extensions to visual attention models to better account for task-based visual analysis.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "graphical abstract", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 591, "image_height": 584, "name": "polatsek-2018-stv-graphical abstract.png", "type": "image/png", "size": 193042, "path": "Publication:polatsek-2018-stv", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-graphical abstract.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-graphical abstract:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1545, 1110, 171, 1546, 1547 ], "doi": "https://doi.org/10.1016/j.cag.2018.01.010", "journal": "Computers & Graphics", "number": "2", "open_access": "no", "research_areas": [ "InfoVis", "Perception" ], "keywords": [ "Information visualization", "Eye-tracking experiment", "Saliency", "Visual attention", "Low-level analytical tasks" ], "weblinks": [ { "href": "https://www.sciencedirect.com/science/article/pii/S0097849318300104", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "graphical abstract", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 591, "image_height": 584, "name": "polatsek-2018-stv-graphical abstract.png", "type": "image/png", "size": 193042, "path": "Publication:polatsek-2018-stv", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-graphical abstract.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-graphical abstract:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "polatsek-2018-stv-paper.pdf", "type": "application/pdf", "size": 3228380, "path": "Publication:polatsek-2018-stv", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/", "__class": "Publication" }, { "id": "gersthofer-2016-sosob", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Reduced-Order Shape Optimization Using Offset Surfaces in Blender", "date": "2018-02", "abstract": "The advance of 3D printers’ capabilities and their sinking costs led to a huge trend of\npersonal and commercial fabrication. But those advances were restricted to the hardware\nside meaning that there was a lack of software to optimize the digital models before printing. This was necessary because physical properties like mass, center of mass or moments of inertia, were neglected in the design of digital 3D models. Those properties play an important role in the behavior of a real-world object. Examples of an objects behavior are the ability to stand in a specific pose, float in the water or stably rotate around a certain axis.\nIn the last few years methods have been presented to optimize digital models by altering\nspecific regions of their volume in order to change their physical properties and therefore\nto prepare them for printing. A recently presented method forms the basis of this thesis.\nDue to its flexibility and performance it is well suited to be integrated into current 3D modeling applications. The algorithm was implemented as a C/C++ library which can be integrated in almost every application. Afterwards this library was integrated into the open source 3D modeling application Blender as a modifier. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 482, "image_height": 517, "name": "gersthofer-2016-sosob-image.png", "type": "image/png", "size": 103557, "path": "Publication:gersthofer-2016-sosob", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/gersthofer-2016-sosob-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/gersthofer-2016-sosob-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1292 ], "co_supervisor": [ 193 ], "date_end": "2018-02-22", "date_start": "2015-11", "matrikelnr": "1325669", "supervisor": [ 844 ], "research_areas": [ "Fabrication", "Geometry", "Modeling" ], "keywords": [ "geometry processing", "shape optimization", "blender plugin" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 482, "image_height": 517, "name": "gersthofer-2016-sosob-image.png", "type": "image/png", "size": 103557, "path": "Publication:gersthofer-2016-sosob", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/gersthofer-2016-sosob-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/gersthofer-2016-sosob-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "gersthofer-2016-sosob-thesis.pdf", "type": "application/pdf", "size": 18799264, "path": "Publication:gersthofer-2016-sosob", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/gersthofer-2016-sosob-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/gersthofer-2016-sosob-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/", "__class": "Publication" }, { "id": "wu-2018-JVLC", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Overlap-Free Labeling of Clustered Networks Based on Voronoi Tessellation", "date": "2018-02", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2018-JVLC-teaser.png", "type": "image/png", "size": 23010, "path": "Publication:wu-2018-JVLC", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1580, 1581 ], "journal": "Journal of Visual Languages & Computing", "number": "44", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2018-JVLC-paper.pdf", "type": "application/pdf", "size": 6440310, "path": "Publication:wu-2018-JVLC", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2018-JVLC-teaser.png", "type": "image/png", "size": 23010, "path": "Publication:wu-2018-JVLC", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/", "__class": "Publication" }, { "id": "koch-2018-sso", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Semantic Screen-Space Occlusion for Multiscale Molecular Visualization", "date": "2018-01-01", "abstract": "When visualizing large biological data sets the problem of visual clutter arises. This\nproblem is often counteracted with level of detail schemes and appropriate coloring of the visualized structures. Ambient occlusion and shadows are often used in order to improve the depth perception which however promote visual clutter when used excessively. In this work an approach is explored to utilize screen-space shading techniques to reduce the visual clutter by using hierarchy information that is provided with molecular models.\nThis is achieved by selectively applying screen-space shading techniques based on the semantics of the visualized hierarchically structured data. This technique is demonstrated by implementing a hierarchy-aware version of screen-space directional occlusion and screen-space ray traced shadows into Marion, an interactive rendering system to visualize biological data.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 206, "image_height": 163, "name": "koch-2018-sso-image.JPG", "type": "image/jpeg", "size": 13053, "path": "Publication:koch-2018-sso", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch-2018-sso/koch-2018-sso-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch-2018-sso/koch-2018-sso-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1604 ], "co_supervisor": [ 1383 ], "date_end": "2018-01-01", "date_start": "2017-07-06", "matrikelnr": "01526232", "supervisor": [ 171 ], "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": null, "preview_image_height": null, "name": "koch-2018-sso-Bachelor Thesis.pdf", "type": "application/pdf", "size": 19662384, "path": "Publication:koch-2018-sso", "preview_name": "koch-2018-sso-Bachelor Thesis:preview.pdf", "preview_type": "application/pdf", "preview_size": 19662384, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch-2018-sso/koch-2018-sso-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch-2018-sso/koch-2018-sso-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 206, "image_height": 163, "name": "koch-2018-sso-image.JPG", "type": "image/jpeg", "size": 13053, "path": "Publication:koch-2018-sso", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch-2018-sso/koch-2018-sso-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch-2018-sso/koch-2018-sso-image:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch-2018-sso/", "__class": "Publication" }, { "id": "miao_tvcg_2018", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Multiscale Visualization and Scale-adaptive Modification of DNA Nanostructures", "date": "2018-01", "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": 1640, "image_height": 951, "preview_image_width": 1640, "preview_image_height": 951, "name": "miao_tvcg_2018-image.png", "type": "image/png", "size": 1020459, "path": "Publication:miao_tvcg_2018", "preview_name": "miao_tvcg_2018-image:preview.png", "preview_type": "image/png", "preview_size": 1020459, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263, 1474, 1072, 1471, 1472, 960, 166, 1473, 171 ], "date_from": "2017-01-01", "date_to": "2017-12-10", "event": "IEEE Vis 2017", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1263 ], "number": "1", "volume": "24", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [ { "href": "https://vimeo.com/238853739", "caption": "VIS presentation", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1640, "image_height": 951, "preview_image_width": 1640, "preview_image_height": 951, "name": "miao_tvcg_2018-image.png", "type": "image/png", "size": 1020459, "path": "Publication:miao_tvcg_2018", "preview_name": "miao_tvcg_2018-image:preview.png", "preview_type": "image/png", "preview_size": 1020459, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1640, "preview_image_height": 951, "name": "miao_tvcg_2018-paper.pdf", "type": "application/pdf", "size": 36713848, "path": "Publication:miao_tvcg_2018", "preview_name": "miao_tvcg_2018-paper:preview.png", "preview_type": "image/png", "preview_size": 1020459, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "miao_tvcg_2018-video.mp4", "type": "video/mp4", "size": 80300196, "path": "Publication:miao_tvcg_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-video:video.mp4" } ], "projects_workgroups": [ "vis", "Illustrare", "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/", "__class": "Publication" }, { "id": "lipp-2017-mgpu", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Visualization of Fiber Orientation in Glass Fiber Reinforced Polymers", "date": "2018-01", "abstract": "Fiber-reinforced composites are materials used for their extraordinary characteristics. The importance of these materials is constantly increasing, therefore, a wide range of variations exists of this material. Types range from Carbon Fiber Reinforced Polymer to Fiber-reinforced Foamed Urethane and more. Fiber-reinforced composites are lightweight,\nstrong, and durable, among others and are therefore used for printed circuit boards,\nrailway sleepers, airplanes or Formula 1 vehicles. To assure that these materials provide the required quality, they need to be tested and analyzed. To analyze these materials or to be more exact, the fibers within, special tools are needed. The first step is to scan the material with a X-ray Computed Tomography (CT) and save it as a volumetric CT-image on a computer. Now this data can be used to analyze the structure and find flaws in the dataset. In this thesis, a program for a later integration in a software called open_iA to extend its range of features, is developed. Purpose of the developed program is to analyze the orientation of fibers in a dataset. The result will be visualized with two different graphs. One shows the orientation of the fibers, while the other shows how\nmany fibers are visible to the analyst. With the option of different configurations, it is possible to further specify these visualizations and get a better understanding of the underlying data.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 475, "image_height": 225, "name": "lipp-2017-mgpu-image.JPG", "type": "image/jpeg", "size": 32501, "path": "Publication:lipp-2017-mgpu", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/lipp-2017-mgpu-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/lipp-2017-mgpu-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1525 ], "date_end": "2018-01-25", "date_start": "2017", "matrikelnr": "1425235", "supervisor": [ 166 ], "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "lipp-2017-mgpu-Bachelor Thesis.pdf", "type": "application/pdf", "size": 3396459, "path": "Publication:lipp-2017-mgpu", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/lipp-2017-mgpu-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/lipp-2017-mgpu-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 475, "image_height": 225, "name": "lipp-2017-mgpu-image.JPG", "type": "image/jpeg", "size": 32501, "path": "Publication:lipp-2017-mgpu", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/lipp-2017-mgpu-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/lipp-2017-mgpu-image:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/", "__class": "Publication" }, { "id": "Strohmayer-2018-BT", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "A Visual Analytics Approach to Hypocotyl/Root Transition Detection in Arabidopsis Thaliana", "date": "2018-01", "abstract": "Plant root phenotyping can be a tedious process if done manually, since it typically requires large data sets to be processed. The solution to this problem are automatic phenotyping pipelines, which allow significantly higher throughput than manual methods, by eliminating the need for human intervention. These pipelines rely on the robustness of automatic segmentation and detection methods for various plant characteristics. Due to numerous confounding factors, the detection of the hypocotyl/root transition point is still an unsolved task. In this thesis a novel approach to this problem, utilizing Statistical Break Point Analysis based on custom plant features, is presented. The approach has been developed using a visual analytics framework called PlateViewer, which was especially built for this task. The framework is able to analyze individual Arabidopsis Thaliana seedlings, taken from agar plate scan images, produced by an automatic phenotyping pipeline.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 920, "image_height": 1182, "name": "Strohmayer-2018-BT-image.png", "type": "image/png", "size": 560681, "path": "Publication:Strohmayer-2018-BT", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Strohmayer-2018-BT/Strohmayer-2018-BT-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Strohmayer-2018-BT/Strohmayer-2018-BT-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1540 ], "date_end": "2018-01", "date_start": "2017-08", "matrikelnr": "01426125", "supervisor": [ 1195 ], "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 920, "image_height": 1182, "name": "Strohmayer-2018-BT-image.png", "type": "image/png", "size": 560681, "path": "Publication:Strohmayer-2018-BT", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Strohmayer-2018-BT/Strohmayer-2018-BT-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Strohmayer-2018-BT/Strohmayer-2018-BT-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 920, "preview_image_height": 1182, "name": "Strohmayer-2018-BT-Thesis.pdf", "type": "application/pdf", "size": 6376986, "path": "Publication:Strohmayer-2018-BT", "preview_name": "Strohmayer-2018-BT-Thesis:preview.png", "preview_type": "image/png", "preview_size": 560681, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Strohmayer-2018-BT/Strohmayer-2018-BT-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Strohmayer-2018-BT/Strohmayer-2018-BT-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Strohmayer-2018-BT/", "__class": "Publication" }, { "id": "rraidou_clinical", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Uncertainty evaluation of image-based tumour control probability models in radiotherapy of prostate cancer using a visual analytic tool", "date": "2018-01", "abstract": "Functional imaging techniques provide radiobiological information that can be included into tumour control probability (TCP) models to enable individualized outcome predictions in radiotherapy. However, functional imaging and the derived radiobiological information are influenced by uncertainties, translating into variations in individual TCP predictions. In this study we applied a previously developed analytical tool to quantify dose and TCP uncertainty bands when initial cell density is estimated from MRI-based apparent diffusion coefficient maps of eleven patients. TCP uncertainty bands of 16% were observed at patient level, while dose variations bands up to 8 Gy were found at voxel level for an iso-TCP approach.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1444, 1410, 1447, 459, 1445 ], "journal": "Physics and Imaging in Radiation Oncology", "number": "5", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [ { "href": "http://www.phiro.science/article/S2405-6316(17)30058-1/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": true, "access": "public", "preview_image_width": 512, "preview_image_height": 512, "name": "rraidou_clinical-paper.pdf", "type": "application/pdf", "size": 748527, "path": "Publication:rraidou_clinical", "preview_name": "rraidou_clinical-paper:preview.jpg", "preview_type": "image/jpeg", "preview_size": 37473, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/rraidou_clinical/rraidou_clinical-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/rraidou_clinical/rraidou_clinical-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/rraidou_clinical/", "__class": "Publication" }, { "id": "dietrich-2016-viseq2", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "\tSmart Visibility Technique for Linear and Planar Molecular Assemblies", "date": "2018", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1169, "image_height": 691, "name": "dietrich-2016-viseq2-image.jpg", "type": "image/jpeg", "size": 172846, "path": "Publication:dietrich-2016-viseq2", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/dietrich-2016-viseq2-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/dietrich-2016-viseq2-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1384 ], "date_end": "2018-05", "date_start": "2016-10", "matrikelnr": "1026167", "note": "3", "supervisor": [ 171 ], "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1169, "image_height": 691, "name": "dietrich-2016-viseq2-image.jpg", "type": "image/jpeg", "size": 172846, "path": "Publication:dietrich-2016-viseq2", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/dietrich-2016-viseq2-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/dietrich-2016-viseq2-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "dietrich-2016-viseq2-thesis.pdf", "type": "application/pdf", "size": 5627773, "path": "Publication:dietrich-2016-viseq2", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/dietrich-2016-viseq2-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/dietrich-2016-viseq2-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/", "__class": "Publication" }, { "id": "EuroVis2018-ShortPapers-Karall", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "ChemoExplorer: A Dashboard for the Visual Analysis of ChemotherapyResponse in Breast Cancer Patients", "date": "2018", "abstract": "In breast cancer chemotherapy treatment, different alternative strategies can be employed. Clinical researchers working on the optimization of chemotherapy strategies need to analyze the progress of the treatment and to understand how different groups of patients respond to selected therapies. This is a challenging task, because of the multitude of imaging and non-imaging health record data involved. We, hereby, introduce a web-based dashboard that facilitates the comparison and analysis of publicly available breast cancer chemotherapy response data, consisting of a follow-up study of 63 patients. Each patient received one of two available therapeutic strategies and their treatment response was documented. Our dashboard provides an initial basis for clinical researchers working on chemotherapy optimization, to analyze the progress of treatment and to compare the response of (groups of) patients with distinct treatment characteristics. Our approach consists of multiple linked representations that provide interactive views on different aspects of the available imaging and non-imaging data. To illustrate the functionality of the ChemoExplorer, we conducted a usage scenario that shows the initial results of our work.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": true, "access": "public", "name": "EuroVis2018-ShortPapers-Karall-.mp4", "type": "video/mp4", "size": 36056866, "path": "Publication:EuroVis2018-ShortPapers-Karall", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/EuroVis2018-ShortPapers-Karall-.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/EuroVis2018-ShortPapers-Karall-:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/EuroVis2018-ShortPapers-Karall-:video.mp4" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1480, 166, 1410 ], "date_from": "2018-06", "date_to": "2018-06", "doi": "10.2312/eurovisshort.20181077", "event": "EuroVis 2018", "journal": "Computer Graphics Forum", "pages": "049-053", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": true, "access": "public", "name": "EuroVis2018-ShortPapers-Karall-.mp4", "type": "video/mp4", "size": 36056866, "path": "Publication:EuroVis2018-ShortPapers-Karall", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/EuroVis2018-ShortPapers-Karall-.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/EuroVis2018-ShortPapers-Karall-:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/EuroVis2018-ShortPapers-Karall-:video.mp4" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "preview_image_width": null, "preview_image_height": null, "name": "EuroVis2018-ShortPapers-Karall-Paper.pdf", "type": "application/pdf", "size": 1251937, "path": "Publication:EuroVis2018-ShortPapers-Karall", "preview_name": "EuroVis2018-ShortPapers-Karall-Paper:preview.pdf", "preview_type": "application/pdf", "preview_size": 787536, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/EuroVis2018-ShortPapers-Karall-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/EuroVis2018-ShortPapers-Karall-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/", "__class": "Publication" }, { "id": "EuroVis2018-ShortPapers-Reiter", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Comparative Visual Analysis of Pelvic Organ Segmentations", "date": "2018", "abstract": "In prostate cancer treatment, automatic segmentations of the pelvic organs are often used as input to radiotherapy planning systems. However, natural anatomical variability of the involved organs is a common reason, for which segmentation algorithms fail, introducing errors in the radiotherapy treatment procedure, as well. Understanding how the shape and size of these organs affect the accuracy of segmentation is of major importance for developers of segmentation algorithms. However, current means of exploration and analysis provide limited insight. In this work, we discuss the design and implementation of a web-based framework, which enables easy exploration and detailed analysis of shape variability, and allows the intended users - i.e., segmentation experts - to generate hypotheses in relation to the performance of the involved algorithms. Our proposed approach was tested with segmentation meshes from a small cohort of 17 patients. Each mesh consists of four pelvic organs and two organ interfaces, which are labeled and have per-triangle correspondences. A usage scenario and an initial informal evaluation with a segmentation expert demonstrate that our framework allows the developers of the algorithms to quickly identify inaccurately segmented organs and to deliberate about the relation of variability to anatomical features and segmentation quality.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1479, 679, 166, 1410 ], "cfp": { "name": "Doc1.pdf", "type": "application/pdf", "error": "0", "size": "81198", "orig_name": "Doc1.pdf", "ext": "pdf" }, "date_from": "2018-06", "date_to": "2018-06", "doi": "10.2312/eurovisshort.20181075", "event": "EuroVis 2018", "journal": "Computer Graphics Forum", "pages": "037-041", "research_areas": [], "keywords": [], "weblinks": [ { "href": "https://diglib.eg.org/handle/10.2312/eurovisshort20181075", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Honorable Mention ", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1745, "image_height": 1309, "name": "EuroVis2018-ShortPapers-Reiter-Honorable Mention .jpg", "type": "image/jpeg", "size": 133647, "path": "Publication:EuroVis2018-ShortPapers-Reiter", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Reiter/EuroVis2018-ShortPapers-Reiter-Honorable Mention .jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Reiter/EuroVis2018-ShortPapers-Reiter-Honorable Mention :thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": true, "access": "public", "preview_image_width": null, "preview_image_height": null, "name": "EuroVis2018-ShortPapers-Reiter-paper.pdf", "type": "application/pdf", "size": 986839, "path": "Publication:EuroVis2018-ShortPapers-Reiter", "preview_name": "EuroVis2018-ShortPapers-Reiter-paper:preview.pdf", "preview_type": "application/pdf", "preview_size": 296777, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Reiter/EuroVis2018-ShortPapers-Reiter-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Reiter/EuroVis2018-ShortPapers-Reiter-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Video", "main_file": true, "use_in_gallery": true, "access": "public", "name": "EuroVis2018-ShortPapers-Reiter-Video.mp4", "type": "video/mp4", "size": 41963961, "path": "Publication:EuroVis2018-ShortPapers-Reiter", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Reiter/EuroVis2018-ShortPapers-Reiter-Video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Reiter/EuroVis2018-ShortPapers-Reiter-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Reiter/EuroVis2018-ShortPapers-Reiter-Video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Reiter/", "__class": "Publication" }, { "id": "wu-2017-dagstuhl", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Mapifying the Genome, Scalable Set Visualizations (Dagstuhl Seminar 17332)", "date": "2018", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1677, 1678, 1679, 1464 ], "number": "TR-193-02-2018-2", "open_access": "yes", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://doi.org/10.4230/DagRep.7.8.1", "caption": "Dagstuhl Seminar 17332", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2017-dagstuhl-paper.pdf", "type": "application/pdf", "size": 3647552, "path": "Publication:wu-2017-dagstuhl", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2017-dagstuhl/wu-2017-dagstuhl-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2017-dagstuhl/wu-2017-dagstuhl-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2017-dagstuhl/", "__class": "Publication" }, { "id": "raidou2018_rv3", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Uncertainty Visualization: Recent Developments and Future Challenges inProstate Cancer Radiotherapy Planning", "date": "2018", "abstract": "Radiotherapy is one of the most common treatment strategy for prostate cancer. Prior to radiotherapy, a complex process consisting of several steps is employed to create an optimal treatment plan. However, all these steps include several sources of uncertainty, which can be detrimental for the successful outcome of the treatment. In this work, we present a number of strategies from the field of Visual Analytics that have been recently designed and implemented, for the visualization of data, processes and uncertainties at each step of the planning pipeline. We additionally document our opinion on topics that have not been yet addressed, and could be interesting directions for future work.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410 ], "booktitle": "EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3) 2018", "date_from": "2018", "date_to": "2018", "event": "EuroRV3", "journal": "EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3) 2018", "pages": "013-017", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "name": "raidou2018_rv3-Image.pdf", "type": "application/pdf", "size": 556976, "path": "Publication:raidou2018_rv3", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018_rv3/raidou2018_rv3-Image.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018_rv3/raidou2018_rv3-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": null, "preview_image_height": null, "name": "raidou2018_rv3-Paper.pdf", "type": "application/pdf", "size": 663354, "path": "Publication:raidou2018_rv3", "preview_name": "raidou2018_rv3-Paper:preview.pdf", "preview_type": "application/pdf", "preview_size": 556976, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018_rv3/raidou2018_rv3-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018_rv3/raidou2018_rv3-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018_rv3/", "__class": "Publication" }, { "id": "raidou_bestphd", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "EuroVis Best PhD Award 2018—Visual Analytics for Digital Radiotherapy: Towards a Comprehensible Pipeline", "date": "2018", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 719, "image_height": 997, "name": "raidou_bestphd-.jpg", "type": "image/jpeg", "size": 182727, "path": "Publication:raidou_bestphd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_bestphd/raidou_bestphd-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_bestphd/raidou_bestphd-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410 ], "research_areas": [ "InfoVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 719, "image_height": 997, "name": "raidou_bestphd-.jpg", "type": "image/jpeg", "size": 182727, "path": "Publication:raidou_bestphd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_bestphd/raidou_bestphd-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_bestphd/raidou_bestphd-:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_bestphd/", "__class": "Publication" }, { "id": "klein_2017_IM", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Instant Construction and Visualization of Crowded Biological Environments", "date": "2018", "abstract": "We present the first approach to integrative structural modeling of the biological mesoscale within an interactive visual environment. These complex models can comprise up to millions of molecules with defined atomic structures, locations, and interactions. Their construction has previously been attempted only within a non-visual and non-interactive environment. Our solution unites the modeling and visualization aspect, enabling interactive construction of atomic resolution mesoscale models of large portions of a cell. We present a novel set of GPU algorithms that build the basis for the rapid construction of complex biological structures. These structures consist of multiple membrane-enclosed compartments including both soluble molecules and fibrous structures. The compartments are defined using volume voxelization of triangulated meshes. For membranes, we present an extension of the Wang\nTile concept that populates the bilayer with individual lipids. Soluble molecules are populated within compartments using the Halton\nsequence for their distribution. Fibrous structures, such as RNA or actin filaments, are created by self-avoiding random walks. Resulting overlaps of molecules are resolved by a forced-based system. Our approach opens new possibilities to the world of interactive\nconstruction of cellular compartments. We demonstrate its effectiveness by showcasing scenes of different scale and complexity that\ncomprise blood plasma, mycoplasma, and HIV.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "preview_image_width": 1726, "preview_image_height": 760, "name": "klein_2017_IM-image.png", "type": "image/png", "size": null, "path": "Publication:klein_2017_IM", "preview_name": "klein_2017_IM-image:preview.png", "preview_type": "image/png", "preview_size": 706858, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/klein_2017_IM-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/klein_2017_IM-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1285, 1260, 1248, 1365, 1475, 166, 171 ], "doi": "10.1109/TVCG.2017.2744258", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1285 ], "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [ { "href": "https://vimeo.com/238851516", "caption": "VIS presentation", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "preview_image_width": 1726, "preview_image_height": 760, "name": "klein_2017_IM-image.png", "type": "image/png", "size": null, "path": "Publication:klein_2017_IM", "preview_name": "klein_2017_IM-image:preview.png", "preview_type": "image/png", "preview_size": 706858, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/klein_2017_IM-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/klein_2017_IM-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "klein_2017_IM-paper.pdf", "type": "application/pdf", "size": 26450869, "path": "Publication:klein_2017_IM", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/klein_2017_IM-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/klein_2017_IM-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/", "__class": "Publication" }, { "id": "raidou_2018_bladderrunner", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Bladder Runner: Visual Analytics for the Exploration of RT-Induced Bladder Toxicity in a Cohort Study", "date": "2018", "abstract": "We present the Bladder Runner, a novel tool to enable detailed visual exploration and analysis of the impact of bladder shape variation on the accuracy of dose delivery, during the course of prostate cancer radiotherapy (RT). Our tool enables the investigation of individual patients and cohorts through the entire treatment process, and it can give indications of RT-induced complications for the patient. In prostate cancer RT treatment, despite the design of an initial plan prior to dose administration, bladder toxicity remains very common. The main reason is that the dose is delivered in multiple fractions over a period of weeks, during which, the anatomical variation of the bladder - due to differences in urinary filling - causes deviations between planned and delivered doses. Clinical researchers want to correlate bladder shape variations to dose deviations and toxicity risk through cohort studies, to understand which specific bladder shape characteristics are more prone to side effects. This is currently done with Dose-Volume Histograms (DVHs), which provide limited, qualitative insight. The effect of bladder variation on dose delivery and the resulting toxicity cannot be currently examined with the DVHs. To address this need, we designed and implemented the Bladder Runner, which incorporates visualization strategies in a highly interactive environment with multiple linked views. Individual patients can be explored and analyzed through the entire treatment period, while inter-patient and temporal exploration, analysis and comparison are also supported. We demonstrate the applicability of our presented tool with a usage scenario, employing a dataset of 29 patients followed through the course of the treatment, across 13 time points. We conducted an evaluation with three clinical researchers working on the investigation of RT-induced bladder toxicity. All participants agreed that Bladder Runner provides better understanding and new opportunities for the exploration and analysis of the involved cohort data.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410, 1444, 1170, 1568, 1445, 1569, 459, 166 ], "date_from": "2018-06", "date_to": "2018-06", "doi": "10.1111/cgf.13413", "event": "EuroVis 2018", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1410 ], "number": "3", "pages": "205-216", "pages_from": "205", "pages_to": "216", "volume": "37", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "preview_image_width": 1739, "preview_image_height": 707, "name": "raidou_2018_bladderrunner-Paper.pdf", "type": "application/pdf", "size": 2076364, "path": "Publication:raidou_2018_bladderrunner", "preview_name": "raidou_2018_bladderrunner-Paper:preview.jpg", "preview_type": "image/jpeg", "preview_size": 247274, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_2018_bladderrunner/raidou_2018_bladderrunner-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_2018_bladderrunner/raidou_2018_bladderrunner-Paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Video", "main_file": true, "use_in_gallery": true, "access": "public", "name": "raidou_2018_bladderrunner-Video.mp4", "type": "video/mp4", "size": 69890898, "path": "Publication:raidou_2018_bladderrunner", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_2018_bladderrunner/raidou_2018_bladderrunner-Video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_2018_bladderrunner/raidou_2018_bladderrunner-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_2018_bladderrunner/raidou_2018_bladderrunner-Video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_2018_bladderrunner/", "__class": "Publication" }, { "id": "heinzl-2018-ct-book", "type_id": "inbook", "tu_id": null, "repositum_id": null, "title": "Processing, Analysis and Visualization of CT Data in Industrial X-Ray Computed Tomography", "date": "2018", "abstract": "In an almost inexhaustible multitude of possibilities, CT allows to inspect highly complex systems and materials. Compared to other testing techniques CT provides results in a quick way: It is nondestructive and does not interfere with the specimen, it allows non-touching characterizations and what is most important CT allows to characterize hidden or internal features. However, CT would not have reached its current status in engineering without the achievements and possibilities in data processing. Only through processing, analysis and visualization of CT data, detailed insights into previously unachievable analyses are facilitated. Novel means of data analysis and visualization illustrate highly complex problems by means of clear and easy to understand renderings. In this chapter, we explore various aspects starting from the generalized data analysis pipeline, aspects of processing, analysis and visualization for metrology, nondestructive testing as well as specialized analyses.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 611, 1170, 571 ], "booktitle": "Processing, Analysis and Visualization of CT Data", "pages_from": "99", "pages_to": "142", "publisher": "Springer", "research_areas": [ "VisMat" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/heinzl-2018-ct-book/", "__class": "Publication" }, { "id": "lawonn-2018-illvisstar", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "A Survey of Surface-Based Illustrative Rendering for Visualization", "date": "2018", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1544, 171, 563, 960 ], "doi": "10.1111/cgf.13322", "issn": "1467-8659", "journal": "Computer Graphics Forum", "number": "NN", "open_access": "no", "pages": "n/a–n/a", "research_areas": [ "IllVis" ], "keywords": [ "scientific visualization", "visualization", "Categories and SubjectDescriptors (according to ACM CCS): I.3.3 [Computer Graphics]:Picture/Image GenerationLine and curve generation" ], "weblinks": [], "files": [], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/lawonn-2018-illvisstar/", "__class": "Publication" } ]