[ { "id": "vuckovic-2025-pdo", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/216200", "title": "Participatory Design of Visual Analytics Tools for Different Target Groups", "date": "2025-05-19", "abstract": "This paper reflects on the software engineering process behind the development of data visualization and analytics technologies tailored to the needs of diverse user groups. These considerations, introduced in our earlier work, are briefly revisited here. We focused on two use cases: one tailored to the needs and preferences of practitioners (data analysts), and the other directed towards meeting the requirements of nonprofessional, volunteer-based participants engaged in participatory citizen science. In both scenarios, we employed participatory methods, actively involving the target users in conceptualization and implementation phases. We observed diverse requirements and preferences concerning data visualization choices, additional functionalities, and analytical measures. To assess the effectiveness of these tools, in the current paper, we conducted a taskbased evaluation with selected participants, asking them to perform specific tasks such as identifying faults in the data, patterns, or detecting outliers. This was supplemented with qualitative feedback gathered through interviews and surveys, providing insights into user satisfaction, perceived challenges, and suggestions for improvement. The evaluation process revealed several areas for improvement from non-practitioners, particularly in the visual clarity of visualizations and the explanations regarding their usage, while practitioners responded more positively, noting no critical issues in software design and function.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5485, 5486, 950 ], "ac_number": "AC17562707", "doi": "10.24138/jcomss-2025-0009", "issn": "1846-6079", "journal": "Journal of Communications Software and Systems", "number": "2", "open_access": "yes", "pages": "10", "pages_from": "240", "pages_to": "249", "publisher": "Croatian Communications and Information Society", "volume": "21", "research_areas": [], "keywords": [ "Participatory Design", "Visualization design and evaluation methods", "Visual Analytics", "Data Quality" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "vuckovic-2025-pdo-paper.pdf", "type": "application/pdf", "size": 3015120, "path": "Publication:vuckovic-2025-pdo", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/vuckovic-2025-pdo/vuckovic-2025-pdo-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/vuckovic-2025-pdo/vuckovic-2025-pdo-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/vuckovic-2025-pdo/", "__class": "Publication" }, { "id": "medeiros-2025-iaa", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/216052", "title": "Immersive Analytics as a Support Medium for Data-Driven Monitoring in Hydropower", "date": "2025-05", "abstract": "Hydropower turbines are large-scale equipment essential to sustainable energy supply chains, and engineers have few opportunities to examine their internal structure. Our Immersive Analytics (IA) application is part of a research project that combines and compares simulated water turbine flows and sensor-measured data, looking for data-driven predictions of the lifetime of the mechanical parts of hydroelectric power plants. Our prototype combines spatial and abstract data in an immersive environment in which the user can navigate through a full-scale model of a water turbine, view simulated water flows of three different energy supply conditions, and visualize and interact with sensor-collected data situated at the reference position of the sensors in the actual turbine. In this paper, we detail our design process, which resulted from consultations with domain experts and a literature review, give an overview of our prototype, and present its evaluation, resulting from semi-structured interviews with experts and qualitative thematic analysis. Our findings confirm the current literature that IA applications add value to the presentation and analysis of situated data, as they show that we advance in the design directions for IA applications for domain experts that combine abstract and spatial data, with conclusions on how to avoid skepticism from such professionals.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5484, 378, 950 ], "doi": "10.1109/TVCG.2025.3549157", "issn": "1941-0506", "journal": "IEEE Transactions on Visualization and Computer Graphics", "number": "5", "pages": "11", "pages_from": "3536", "pages_to": "3546", "publisher": "IEEE COMPUTER SOC", "volume": "31", "research_areas": [], "keywords": [ "Immersive Analytics", "Data Visualization", "Digitalization", "Egocentric navigation", "Spatial Data", "User Evaluation" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/medeiros-2025-iaa/", "__class": "Publication" }, { "id": "walch-2025-bemtrace", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/210140", "title": "BEMTrace: Visualization-driven approach for deriving Building Energy Models from BIM", "date": "2025-01", "abstract": "Building Information Modeling (BIM) describes a central data pool covering the entire life cycle of a construction project. Similarly, Building Energy Modeling (BEM) describes the process of using a 3D representation of a building as a basis for thermal simulations to assess the building's energy performance. This paper explores the intersection of BIM and BEM, focusing on the challenges and methodologies in converting BIM data into BEM representations for energy performance analysis. BEMTrace integrates 3D data wrangling techniques with visualization methodologies to enhance the accuracy and traceability of the BIM-to-BEM conversion process. Through parsing, error detection, and algorithmic correction of BIM data, our methods generate valid BEM models suitable for energy simulation. Visualization techniques provide transparent insights into the conversion process, aiding error identifcation, validation, and user comprehension. We introduce context-adaptive selections to facilitate user interaction and to show that the BEMTrace workfow helps users understand complex 3D data wrangling processes.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1494, 1002, 1387, 1277, 166, 950 ], "doi": "10.1109/TVCG.2024.3456315", "issn": "1941-0506", "journal": "IEEE Transactions on Visualization and Computer Graphics", "number": "1", "pages": "11", "pages_from": "240", "pages_to": "250", "publisher": "IEEE COMPUTER SOC", "volume": "31", "research_areas": [], "keywords": [ "Solid modeling", "Data visualization", "Three-dimensional displays", "Data models", "Buildings", "Computational modeling", "Object oriented modeling", "BIM", "BEM", "BIM-to-BEM", "3D Data Wrangling", "3D selections", "Visualization for trust building" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/walch-2025-bemtrace/", "__class": "Publication" }, { "id": "piccolotto-2023-dta", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/189927", "title": "Data Type Agnostic Visual Sensitivity Analysis", "date": "2023-10-26", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "doi,issn,open_access,pages_from,pages_to", "repositum_presentation_id": null, "authors": [ 5311, 5312, 5313, 5314, 962, 950, 966 ], "date_from": "2023-10-22", "date_to": "2023-10-27", "doi": "10.1109/TVCG.2023.3327203", "event": "IEEE VIS 2023", "issn": "1077-2626", "lecturer": [ 5312 ], "location": "Melbourne", "open_access": "yes", "pages_from": "1", "pages_to": "11", "research_areas": [], "keywords": [ "Visual Analytics", "Visualization" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/piccolotto-2023-dta/", "__class": "Publication" }, { "id": "medeiros-2023-gwf", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/193561", "title": "Going with the flow: using immersive analytics to support lifetime predictions of hydropower turbines", "date": "2023-10-13", "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": 536, "image_height": 320, "name": "medeiros-2023-gwf-teaser.png", "type": "image/png", "size": 116775, "path": "Publication:medeiros-2023-gwf", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/medeiros-2023-gwf/medeiros-2023-gwf-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/medeiros-2023-gwf/medeiros-2023-gwf-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5326, 5327, 5328, 5329, 950 ], "booktitle": "Proceedings SUI 2023 ACM : Symposium on Spatial User Interaction", "date_from": "2023-10-13", "date_to": "2023-10-15", "doi": "10.1145/3607822.3618009", "editor": "Huang, Tony and Sra, Misha and Argelaguet, Ferran and Lopes, Pedro and Barrera Machuca, Mayra Donaji", "event": "SUI '23: ACM Symposium on Spatial User Interaction", "isbn": "979-8-4007-0281-5", "lecturer": [ 5326 ], "location": "Sydney", "open_access": "no", "pages": "2", "publisher": "Association for Computing Machinery", "research_areas": [ "InfoVis", "VR" ], "keywords": [ "Data visualization", "Virtual Reality", "Egocentric Navigation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "medeiros-2023-gwf-paper.pdf", "type": "application/pdf", "size": 1351229, "path": "Publication:medeiros-2023-gwf", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/medeiros-2023-gwf/medeiros-2023-gwf-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/medeiros-2023-gwf/medeiros-2023-gwf-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 536, "image_height": 320, "name": "medeiros-2023-gwf-teaser.png", "type": "image/png", "size": 116775, "path": "Publication:medeiros-2023-gwf", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/medeiros-2023-gwf/medeiros-2023-gwf-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/medeiros-2023-gwf/medeiros-2023-gwf-teaser:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/medeiros-2023-gwf/", "__class": "Publication" }, { "id": "Mistelbauer_Gabriel_2016", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Aortic Dissection Maps: Comprehensive Visualization of Aortic Dissections for Risk Assessment", "date": "2016-09", "abstract": "Aortic dissection is a life threatening condition of the aorta, characterized by separation of its wall layers into a true and false lumen. A subset of patients require immediate surgical or endovascular repair. All survivors of the acute phase need long-term surveillance with imaging to monitor chronic degeneration and dilatation of the false lumen and prevent late adverse events such as rupture, or malperfusion. We introduce four novel plots displaying features of aortic dissections known or presumed to be associated with risk of future adverse events: Aortic diameter, the blood supply (outflow) to the aortic branches from the true and false lumen, the previous treatment, and an estimate of adverse event-free probabilities in one, two and 5 years. Aortic dissection maps, the composite visualization of these plots, provide a baseline for visual comparison of the complex features and associated risk of aortic dissection. These maps may lead to more individualized monitoring and improved, patient-centric treatment planning in the future.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 883, "image_height": 679, "name": "Mistelbauer_Gabriel_2016-image.jpg", "type": "image/jpeg", "size": 91398, "path": "Publication:Mistelbauer_Gabriel_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mistelbauer_Gabriel_2016/Mistelbauer_Gabriel_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mistelbauer_Gabriel_2016/Mistelbauer_Gabriel_2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 869, 950, 1388, 1389, 1390, 164 ], "journal": "Eurographics Workshop on Visual Computing for Biology and Medicine (2016)", "lecturer": [ 161 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 883, "image_height": 679, "name": "Mistelbauer_Gabriel_2016-image.jpg", "type": "image/jpeg", "size": 91398, "path": "Publication:Mistelbauer_Gabriel_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mistelbauer_Gabriel_2016/Mistelbauer_Gabriel_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mistelbauer_Gabriel_2016/Mistelbauer_Gabriel_2016-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Mistelbauer_Gabriel_2016-Paper.pdf", "type": "application/pdf", "size": 7675802, "path": "Publication:Mistelbauer_Gabriel_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mistelbauer_Gabriel_2016/Mistelbauer_Gabriel_2016-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mistelbauer_Gabriel_2016/Mistelbauer_Gabriel_2016-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mistelbauer_Gabriel_2016/", "__class": "Publication" }, { "id": "schmidt-phd", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Scalable Comparative Visualization", "date": "2016-06-28", "abstract": "The comparison of two or more objects is getting an increasingly important task in data analysis. Visualization systems successively have to move from representing one phenomenon to allowing users to analyze several datasets at once. Visualization systems can support the users in several ways. Firstly, comparison tasks can be supported in a very intuitive way by allowing users to place objects that should be compared in an appropriate context. Secondly, visualization systems can explicitly compute differences among the datasets and present the results to the user. In comparative visualization, researchers are working on new approaches for computer-supported techniques that provide data comparison functionality. Techniques from this research field can be used to compare two objects with each other, but often reach their limits if a multitude of objects (i.e., 100 or more) have to be compared. Large data collections that contain a lot of individual, but related, datasets with slightly different characteristics can be called ensembles. The individual datasets being part of an ensemble are called the ensemble members. Ensembles have been created in the simulation domain, especially for weather and climate research, for already quite some time. These domains were greatly driving the development of ensemble visualization techniques. Due to the availability of affordable computing resources and the multitude of different analysis algorithms (e.g., for segmentation), other domains nowadays also face similar problems. All together, this shows a great need for ensemble visualization techniques in various domains. Ensembles can either be analyzed in a feature-based or in a location-based way. In the case of a location-based analysis, the ensemble members are compared based on certain spatial data positions of interest. For such an analysis, local selection and analysis techniques for ensembles are needed.\n\nIn the course of this thesis different visual analytics techniques for the comparative visualization of datasets have been researched. A special focus has been set on providing scalable techniques, which makes them also suitable for ensemble datasets. The proposed techniques operate on different dataset types in 2D and 3D. In the first part of the thesis, a visual analytics approach for the analysis of 2D image datasets is introduced. The technique analyzes localized differences in 2D images. The approach not only identifies differences in the data, but also provides a technique to quickly find out what the differences are, and judge upon the underlying data. This way patterns can be found in the data, and outliers can be identified very quickly. As a second part of the thesis, a scalable application for the comparison of several similar 3D mesh datasets is described. Such meshes may be, for example, created by point-cloud reconstruction algorithms, using different parameter settings. Similar to the proposed technique for the comparison of 2D images, this application is also scalable to a large number of individual datasets. The application enables the automatic comparison of the meshes, searches interesting regions in the data, and allows users to also concentrate on local regions of interest. The analysis of the local regions is in this case done in 3D. The application provides the possibility to arrange local regions in a parallel coordinates plot. The regions are represented by the axes in the plot, and the input meshes are depicted as polylines. This way it can be very quickly spotted whether meshes produce good/bad results in a certain local region. In the third and last part of the thesis, a technique for the interactive analysis of local regions in a volume ensemble dataset is introduced. Users can pick regions of interest, and these regions can be arranged in a graph according to their similarity. The graph can then be used to detect similar regions with a similar data distribution within the ensemble, and to compare individual ensemble members against the rest of the ensemble. All proposed techniques and applications have been tested with real-world datasets from different domains. The results clearly show the usefulness of the techniques for the comparative analysis of ensembles.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 603, "image_height": 446, "name": "schmidt-phd-teaser.png", "type": "image/png", "size": 11954, "path": "Publication:schmidt-phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 950 ], "date_end": "2016", "date_start": "2011", "reviewer_1": [ 166 ], "reviewer_2": [ 161 ], "rigorosum": "2016-06-28", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 603, "image_height": 446, "name": "schmidt-phd-teaser.png", "type": "image/png", "size": 11954, "path": "Publication:schmidt-phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 589, "preview_image_height": 460, "name": "schmidt-phd-thesis.pdf", "type": "application/pdf", "size": 42185190, "path": "Publication:schmidt-phd", "preview_name": "schmidt-phd-thesis:preview.png", "preview_type": "image/png", "preview_size": 814656, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "ViMaL", "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/", "__class": "Publication" }, { "id": "TR1862162", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Visual Analysis of Volume Ensembles Based on Local Features", "date": "2016-05", "abstract": "Ensemble datasets describe a specific phenomenon (e.g., a simulation scenario or a measurements series) through a large set of individual ensemble members. These individual members typically do not differ too much from each other but rather feature slightly changing characteristics. In many cases, the ensemble members are defined in 3D space, which implies severe challenges when exploring the complete ensembles such as handling occlusions, focus and context or its sheer datasize. In this paper we address these challenges and put our focus on the exploration of local features in 3D volumetric ensemble datasets, not only by visualizing local characteristics, but also by identifying connections to other local features with similar characteristics in the data. We evaluate the variance in the dataset and use the the spatial median (medoid) of the ensemble to visualize the differences in the dataset. This medoid is subsequently used as a representative of the ensemble in 3D. The variance information is used to guide users during the exploration, as regions of high variance also indicate larger changes within the ensemble members. The local characteristics of the regions can be explored by using our proposed 3D probing widgets. These widgets consist of a 3D sphere, which can be positioned at any point in 3D space. While moving a widget, the local data characteristics at the corresponding position are shown in a separate detail view, which depicts the local outliers and their surfaces in comparison to the medoid surface. The 3D probing widgets can also be fixed at a user-defined position of interest. The fixed probing widgets are arranged in a similarity graph to indicate similar local data characteristics. The similarity graph thus allows to explore whether high variances in a certain region are caused by the same dataset members or not. Finally, it is also possible to compare a single member against the rest of the ensemble. We evaluate our technique through two demonstration cases using volumetric multi-label segmentation mask datasets, two from the\nindustrial domain and two from the medical domain.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 599, "image_height": 277, "name": "TR1862162-teaser.png", "type": "image/png", "size": 498904, "path": "Publication:TR1862162", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/TR1862162/TR1862162-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/TR1862162/TR1862162-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 950, 1191, 799, 983, 166, 161, 611 ], "number": "TR-186-2-16-2", "research_areas": [ "InfoVis" ], "keywords": [ "ensemble visualization", "guided local exploration", "variance analysis" ], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 599, "image_height": 277, "name": "TR1862162-teaser.png", "type": "image/png", "size": 498904, "path": "Publication:TR1862162", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/TR1862162/TR1862162-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/TR1862162/TR1862162-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "tech-report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "TR1862162-tech-report.pdf", "type": "application/pdf", "size": 5108648, "path": "Publication:TR1862162", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/TR1862162/TR1862162-tech-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/TR1862162/TR1862162-tech-report:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/TR1862162/", "__class": "Publication" }, { "id": "ymca", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "YMCA - Your Mesh Comparison Application", "date": "2014-11", "abstract": "Polygonal meshes can be created in several different ways. In this paper we focus on the reconstruction of meshes from point clouds, which are sets of points in 3D. Several algorithms that tackle this task already exist, but they have different benefits and drawbacks, which leads to a large number of possible reconstruction results (i.e., meshes). The evaluation of those techniques requires extensive comparisons between different meshes which is up to now done by either placing images of rendered meshes side-by-side, or by encoding differences by heat maps. A major drawback of both approaches is that they do not scale well with the number of meshes. This paper introduces a new comparative visual analysis technique for 3D meshes which enables the simultaneous comparison of several meshes and allows for the interactive exploration of their differences. Our approach gives an overview of the differences of the input meshes in a 2D view. By selecting certain areas of interest, the user can switch to a 3D representation and explore the spatial differences in detail. To inspect local variations, we provide a magic lens tool in 3D. The location and size of the lens provide further information on the variations of the reconstructions in the selected area. With our comparative visualization approach, differences between several mesh reconstruction algorithms can be easily localized and inspected.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 644, "image_height": 661, "name": "ymca-teaser.png", "type": "image/png", "size": 1279857, "path": "Publication:ymca", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 950, 799, 808, 193, 166, 161 ], "booktitle": "IEEE Visual Analytics Science and Technology", "date_from": "2014-11-09", "date_to": "2014-11-14", "lecturer": [ 950 ], "location": "Paris, France", "note": "http://dx.doi.org/10.1109/VAST.2014.7042491", "publisher": "IEEE Computer Society", "series": "VAST ", "research_areas": [ "InfoVis" ], "keywords": [ "mesh comparison", "3D data exploration", "focus+context", "comparative visualization", "Visual analysis" ], "weblinks": [], "files": [ { "description": "paper (authors personal copy, accepted for publication by IEEE)", "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 669, "preview_image_height": 430, "name": "ymca-paper.pdf", "type": "application/pdf", "size": 2169351, "path": "Publication:ymca", "preview_name": "ymca-paper:preview.png", "preview_type": "image/png", "preview_size": 864893, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 644, "image_height": 661, "name": "ymca-teaser.png", "type": "image/png", "size": 1279857, "path": "Publication:ymca", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-teaser:thumb{{size}}.png" }, { "description": "demonstration of the application - 4:30 min - 20.2 MB", "filetitle": "video-demo", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 64, "preview_image_height": 41, "name": "ymca-video-demo.wmv", "type": "application/octet-stream", "size": 21207342, "path": "Publication:ymca", "preview_name": "ymca-video-demo:preview.png", "preview_type": "image/png", "preview_size": 8002, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-video-demo.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-video-demo:thumb{{size}}.png" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/", "__class": "Publication" }, { "id": "vaico", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "VAICo: Visual Analysis for Image Comparison", "date": "2013-12", "abstract": "Scientists, engineers, and analysts are confronted with ever larger and more complex sets of data, whose analysis poses special challenges. In many situations it is necessary to compare two or more datasets. Hence there is a need for comparative visualization tools to help analyze differences or similarities among datasets. In this paper an approach for comparative visualization for sets of images is presented. Well-established techniques for comparing images frequently place them side-by-side. A major drawback of such approaches is that they do not scale well. Other image comparison methods encode differences in images by abstract parameters like color. In this case information about the underlying image data gets lost. This paper introduces a new method for visualizing differences and similarities in large sets of images which preserves contextual information, but also allows the detailed analysis of subtle variations. Our approach identifies local changes and applies cluster analysis techniques to embed them in a hierarchy. The results of this process are then presented in an interactive web application which allows users to rapidly explore the space of differences and drill-down on particular features. We demonstrate the flexibility of our approach by applying it to multiple distinct domains.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 400, "image_height": 289, "name": "vaico-teaser.png", "type": "image/png", "size": 206295, "path": "Publication:vaico", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 950, 166, 161 ], "date_from": "2013-10-13", "date_to": "2013-10-18", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 950 ], "note": "Demo: http://www.cg.tuwien.ac.at/~jschmidt/vaico/", "number": "12", "pages_from": "2090", "pages_to": "2099", "volume": "19", "research_areas": [ "InfoVis" ], "keywords": [ "focus+context", "image-set comparison", "Comparative visualization" ], "weblinks": [ { "href": "http://dx.doi.org/10.1109/TVCG.2013.213", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "Fast-Forward Video - 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3:50min - 27MB - DivX5", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 960, "preview_image_height": 720, "name": "vaico-video.avi", "type": "video/x-msvideo", "size": 27666804, "path": "Publication:vaico", "preview_name": "vaico-video:preview.png", "preview_type": "image/png", "preview_size": 187664, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-video:video.mp4" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/", "__class": "Publication" }, { "id": "karimov-2013-vivisection", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "ViviSection: Skeleton-based Volume Editing", "date": "2013-06", "abstract": "Volume segmentation is important in many applications, particularly in the medical domain. Most segmentation\ntechniques, however, work fully automatically only in very restricted scenarios and cumbersome manual editing\nof the results is a common task. In this paper, we introduce a novel approach for the editing of segmentation\nresults. Our method exploits structural features of the segmented object to enable intuitive and robust correction\nand verification. We demonstrate that our new approach can significantly increase the segmentation quality even\nin difficult cases such as in the presence of severe pathologies.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 960, "image_height": 720, "preview_image_width": 960, "preview_image_height": 720, "name": "karimov-2013-vivisection-image.png", "type": "image/png", "size": 1114067, "path": "Publication:karimov-2013-vivisection", "preview_name": "karimov-2013-vivisection-image:preview.png", "preview_type": "image/png", "preview_size": 1392949, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/karimov-2013-vivisection/karimov-2013-vivisection-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/karimov-2013-vivisection/karimov-2013-vivisection-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 925, 869, 950, 935, 1107, 1108, 161, 166 ], "date_from": "2013-06-17", "date_to": "2013-06-21", "event": "Eurographics Conference on Visualization (EuroVis)", "journal": "Computer Graphics Forum", "lecturer": [ 925 ], "location": "Leipzig, Germany", "number": "3", "pages_from": "461", "pages_to": "470", "volume": "32", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12133/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "fast-forward", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "karimov-2013-vivisection-fast-forward.avi", "type": "video/x-msvideo", "size": 3828718, "path": "Publication:karimov-2013-vivisection", "preview_name": "karimov-2013-vivisection-fast-forward:preview.png", "preview_type": "image/jpeg", "preview_size": 43386, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/karimov-2013-vivisection/karimov-2013-vivisection-fast-forward.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/karimov-2013-vivisection/karimov-2013-vivisection-fast-forward:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/karimov-2013-vivisection/karimov-2013-vivisection-fast-forward:video.mp4" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 960, "image_height": 720, "preview_image_width": 960, "preview_image_height": 720, "name": "karimov-2013-vivisection-image.png", "type": "image/png", "size": 1114067, "path": "Publication:karimov-2013-vivisection", "preview_name": "karimov-2013-vivisection-image:preview.png", "preview_type": "image/png", "preview_size": 1392949, "url": 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"https://www.cg.tuwien.ac.at/research/publications/2013/karimov-2013-vivisection/karimov-2013-vivisection-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/karimov-2013-vivisection/karimov-2013-vivisection-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/karimov-2013-vivisection/", "__class": "Publication" }, { "id": "schmidt-2011-mt", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Variability Analysis for Initial Sample Testing of Industrial CT Data", "date": "2011-06", "abstract": "Casting is a manufacturing process by which melt is poured into a mould and then allowed to solidify. Due to the pouring process as well as during solidification casting defects like shrinkage, pores or\r\ncracks may appear that can influence the cast objects' mechanical properties and usability. Designing a new type of casting always requires the production of a new pattern first. Before release of serial production a series of initial samples is created. During this evaluation step possible problems are identified that may occur for example due to the mould layout. In the course of this master's thesis effort, a new approach for first article inspection is introduced.\r\nThe goal of this approach is to explore a series of industrial CT volumes, with the objective to evaluate the casting design. Using the pipeline investigations of the reliability of the production can\r\nbe performed. The variability analysis is based on a segmentation approach for defect detection which enables to differentiate discontinuities from the rest of the volume In case regions of high defect concentration should be identified, a clustering approach is applied to all samples within the series. The input data set used for clustering consists of the defects' centres of gravity. This way the clustering algorithm can be applied to a set of data points in 3D space. In the further course the cluster information is used to analyse the variability of the sample series, since they represent regions of high defect concentration. The analysis of large defects, in contrast, directly operates on the data produced by the defect detection stage. The data of all samples is compared to find possible overlaps. For the variability analysis it is important to know whether regions can be\r\nfound that contain defects in more than one trial sample. The identification of such regions shows that the casting process tends to produce errors in certain parts of the object.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 339, "name": "schmidt-2011-mt-.png", "type": "image/png", "size": 80558, "path": "Publication:schmidt-2011-mt", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/schmidt-2011-mt/schmidt-2011-mt-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/schmidt-2011-mt/schmidt-2011-mt-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 950 ], "supervisor": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 339, "name": "schmidt-2011-mt-.png", "type": "image/png", "size": 80558, "path": "Publication:schmidt-2011-mt", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/schmidt-2011-mt/schmidt-2011-mt-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/schmidt-2011-mt/schmidt-2011-mt-:thumb{{size}}.png" }, { "description": "", "filetitle": "Poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "schmidt-2011-mt-Poster.pdf", "type": "application/pdf", "size": 747339, "path": "Publication:schmidt-2011-mt", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/schmidt-2011-mt/schmidt-2011-mt-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/schmidt-2011-mt/schmidt-2011-mt-Poster:thumb{{size}}.png" }, { "description": "", "filetitle": "Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "schmidt-2011-mt-Thesis.pdf", "type": "application/pdf", "size": 27663085, "path": "Publication:schmidt-2011-mt", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/schmidt-2011-mt/schmidt-2011-mt-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/schmidt-2011-mt/schmidt-2011-mt-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/schmidt-2011-mt/", "__class": "Publication" } ]