[ { "id": "Groeller_2016_I6", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Computing and Analysis of Complex Systems", "date": "2016-12-09", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2016-12-09", "event": "Invited Talk, State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China", "location": "State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_I6/", "__class": "Publication" }, { "id": "purgathofer_2016I1", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Computing — a best practice from Vienna", "date": "2016-12-08", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2016-12-08", "event": "National Research University – Higher School of Economics (HSE)", "location": "Moskau", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/purgathofer_2016I1/", "__class": "Publication" }, { "id": "Groeller_2016_I5", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Computing and Analysis of Complex Systems", "date": "2016-12-07", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2016-12-07", "event": "Invited talk at SIGGRAPH Asia 2016 Symposium on Visualization, Macao, China", "location": "SIGGRAPH Asia 2016 Symposium on Visualization, Macao, China", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_I5/", "__class": "Publication" }, { "id": "Groeller_2016_I8", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Computing for the Analysis of Complex Systems", "date": "2016-12-05", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2016-12-05", "event": "Invited Talk at the Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST)", "location": "Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST), Hong Kong", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_I8/", "__class": "Publication" }, { "id": "mindek-xmas-card-2016", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2016", "date": "2016-12", "abstract": "As far as we can tell, the Universe is made of atoms. Or pixels. In any case, this Christmas card celebrates both.\n\nThis year's Christmas tree is decorated with a chain of DNA molecules modeled as a spline populated by nucleotides. Several macromolecules of Fibrinogen, Hemoglobin, and Low-Density Lipoprotein are used as decorations as well. All the proteins, as well as the DNA, are modeled down to atomic resolution. The scene is rendered in real-time using cellVIEW - a molecular visualization framework developed at TU Wien and Scripps Research Institute.\n\n***\n\nSoweit wir wissen besteht das Universum aus Atomen. Oder Pixel. Wie auch immer, diese Weihnachtskarte feiert beides.\n\nDer Weihnachtsbaum ist mit einer DNA-Molekülkette geschmückt, modelliert als ein Spline der mit Nukleotiden besetzt ist. Auch mehrere Fibrinogen-, Hämoglobin- und Lipoprotein-Makromoleküle wurden als Dekorationen verwendet. Alle Proteine, als auch die DNA, sind bis auf Atomauflösung modelliert. Die Szene wurde mit cellVIEW in Echtzeit gerendert. cellVIEW ist eine Visualisierungssoftware für Moleküle, die an der TU Wien und dem Scripps Research Institute entwickelt wurde.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Picture", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 3366, "image_height": 2345, "name": "mindek-xmas-card-2016-Picture.png", "type": "image/png", "size": 7197771, "path": "Publication:mindek-xmas-card-2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-Picture.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-Picture:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1260, 935 ], "research_areas": [ "BioVis", "IllVis", "Modeling", "Rendering" ], "keywords": [ "Molecular Visualization", "DNA", "Proteins" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Picture", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 3366, "image_height": 2345, "name": "mindek-xmas-card-2016-Picture.png", "type": "image/png", "size": 7197771, "path": "Publication:mindek-xmas-card-2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-Picture.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-Picture:thumb{{size}}.png" }, { "description": null, "filetitle": "X-Mas Card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-xmas-card-2016-X-Mas Card.pdf", "type": "application/pdf", "size": 24934677, "path": "Publication:mindek-xmas-card-2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-X-Mas Card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-X-Mas Card:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/", "__class": "Publication" }, { "id": "Mayrhauser-2016-Cnc", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Migration of Surface Curve to Most Concave Isoline", "date": "2016-12", "abstract": "In this paper, I present a solution for migrating a curve on a three dimensional surface to\nthe most concave isoline in its vicinity. Essentially, this problem statement tackles mesh\nsegmentation from a different angle. The search for a suitable segmentation boundary is\nreduced to a shortest path problem.\nFirst, a graph is built using the mesh’s vertices and edges near the input curve. Then,\nthe shortest path is found using the Dijkstra algorithm, whereas a modified weighting\nscheme that makes the passing through of concave edges cheaper, among other factors,\nresults in a path suitable as segmentation boundary.\nThe final algorithm provides segmentation boundaries of a quality similar to existing\nsegmentation algorithms. The runtime generally lies below a second, thus making it\nviable for on the go optimization of the user’s input.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1587, "image_height": 868, "name": "Mayrhauser-2016-Cnc-image.png", "type": "image/png", "size": 372053, "path": "Publication:Mayrhauser-2016-Cnc", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/Mayrhauser-2016-Cnc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/Mayrhauser-2016-Cnc-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1348 ], "date_end": "2016-12", "date_start": "2016-07", "matrikelnr": "e0926916", "supervisor": [ 193 ], "research_areas": [ "Geometry" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1587, "image_height": 868, "name": "Mayrhauser-2016-Cnc-image.png", "type": "image/png", "size": 372053, "path": "Publication:Mayrhauser-2016-Cnc", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/Mayrhauser-2016-Cnc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/Mayrhauser-2016-Cnc-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Mayrhauser-2016-Cnc-thesis.pdf", "type": "application/pdf", "size": 9420121, "path": "Publication:Mayrhauser-2016-Cnc", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/Mayrhauser-2016-Cnc-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/Mayrhauser-2016-Cnc-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/", "__class": "Publication" }, { "id": "forsythe-2016-ccm", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Resolution-independent superpixels based on convex constrained meshes without small angles", "date": "2016-12", "abstract": "The over-segmentation problem for images is studied in the new resolution-independent formulation when a large image is approximated by a small number of convex polygons with straight edges at subpixel precision. These polygonal superpixels are obtained by refining and extending subpixel edge segments to a full mesh of convex polygons without small angles and with approximation guarantees. Another novelty is the objective error difference between an original pixel-based image and the reconstructed image with a best constant color over each superpixel, which does not need human segmentations. The experiments on images from the Berkeley Segmentation Database show that new meshes are smaller and provide better approximations than the state-of-the-art.", "authors_et_al": false, "substitute": null, "main_image": { "description": "null", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "forsythe-2016-ccm-image.png", "type": "image/png", "size": 401897, "path": "Publication:forsythe-2016-ccm", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/forsythe-2016-ccm/forsythe-2016-ccm-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/forsythe-2016-ccm/forsythe-2016-ccm-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1402, 1403, 1404 ], "date_from": "2016-12-12", "date_to": "2016-12-14", "event": "ISVC 2016", "issn": "0302-9743", "journal": "Lecture Notes in Computer Science (LNCS)", "lecturer": [ 1402 ], "location": "Las Vegas", "pages_from": "223", "pages_to": "233", "protocol": "null", "volume": "10072", "research_areas": [ "Geometry" ], "keywords": [ "superpixels", "polygonal mesh", "Delaunay triangulation", "constrained triangulation", "edge detection" ], "weblinks": [], "files": [ { "description": "null", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "forsythe-2016-ccm-image.png", "type": "image/png", "size": 401897, "path": "Publication:forsythe-2016-ccm", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/forsythe-2016-ccm/forsythe-2016-ccm-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/forsythe-2016-ccm/forsythe-2016-ccm-image:thumb{{size}}.png" }, { "description": "null", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "forsythe-2016-ccm-paper.pdf", "type": "application/pdf", "size": 3354515, "path": "Publication:forsythe-2016-ccm", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/forsythe-2016-ccm/forsythe-2016-ccm-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/forsythe-2016-ccm/forsythe-2016-ccm-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "forsythe-2016-ccm-slides.pptx", "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation", "size": 6295464, "path": "Publication:forsythe-2016-ccm", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/forsythe-2016-ccm/forsythe-2016-ccm-slides.pptx", "thumb_image_sizes": [] } ], "projects_workgroups": [ "ShapeAcquisition" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/forsythe-2016-ccm/", "__class": "Publication" }, { "id": "JAHRMANN-2016-IGR", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Grass Rendering in Real Time Using Modern OpenGL Features", "date": "2016-11-16", "abstract": "Grass species are an important part of vegetation all over the world and can be found in\nall climatic zones. Therefore, grass can be found in almost all outside scenarios. Until\ntoday, there are only few sophisticated algorithms for rendering grass in real time due to\nthe high amount of geometrical complexity. As a result, most algorithms visualize grass\nas a collection of billboards or use other image-based methods, which have problems\ndealing with animation or physical interaction. Another disadvantage of image-based\nmethods is that they often have artifacts when viewed from specific angles, because they\nare just two-dimensional images embedded in three-dimensional space.\nIn this thesis we will introduce a fully geometric approach of grass rendering working\nat interactive framerates. The algorithm is very generic and is able to be adjusted and\nextended in various ways in order to be applicable to most scenarios of rendering grass\nor grass-like vegetation.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 944, "image_height": 709, "name": "JAHRMANN-2016-IGR-image.png", "type": "image/png", "size": 1305610, "path": "Publication:JAHRMANN-2016-IGR", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/JAHRMANN-2016-IGR-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/JAHRMANN-2016-IGR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1009 ], "date_end": "2016-11-16", "date_start": "2016-07", "diploma_examina": "2016-11-16", "matrikelnr": "0826080", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 944, "image_height": 709, "name": "JAHRMANN-2016-IGR-image.png", "type": "image/png", "size": 1305610, "path": "Publication:JAHRMANN-2016-IGR", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/JAHRMANN-2016-IGR-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/JAHRMANN-2016-IGR-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "JAHRMANN-2016-IGR-poster.pdf", "type": "application/pdf", "size": 3613464, "path": "Publication:JAHRMANN-2016-IGR", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/JAHRMANN-2016-IGR-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/JAHRMANN-2016-IGR-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "JAHRMANN-2016-IGR-thesis.pdf", "type": "application/pdf", "size": 13187174, "path": "Publication:JAHRMANN-2016-IGR", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/JAHRMANN-2016-IGR-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/JAHRMANN-2016-IGR-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/", "__class": "Publication" }, { "id": "aichner-2016-sadf", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Shape-Aware Deformation of 3D Furniture Models", "date": "2016-11", "abstract": "Resizing of 3D models can be very useful when creating new models or when reusing\nold ones. However, naive resizing can create serious visual artifacts which destroy the\ncharacteristics of an object. In this thesis an algorithm that protects the features of\n3D models during resizing is introduced. It is specialized for furniture models because\nit should be applied to a furniture configurator. We observed that the distortion that\noccurs during scaling is not distributed uniformly across the object. Our algorithm\nautomatically detects the vulnerable parts of a model and then stretches only the non-\nvulnerable ones. Furthermore, the algorithm takes into account that when scaling a\nmesh in a specific direction, the texture has to be adapted as well in order to prevent\nrepresentation errors.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 712, "image_height": 244, "name": "aichner-2016-sadf-image.png", "type": "image/png", "size": 73895, "path": "Publication:aichner-2016-sadf", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/aichner-2016-sadf-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/aichner-2016-sadf-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1291 ], "co_supervisor": [ 193 ], "date_end": "2016-11-21", "date_start": "2015-10", "matrikelnr": "1226600", "supervisor": [ 844 ], "research_areas": [ "Geometry", "Modeling" ], "keywords": [ "geometry processing", "shape modeling", "shape-aware deformation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 712, "image_height": 244, "name": "aichner-2016-sadf-image.png", "type": "image/png", "size": 73895, "path": "Publication:aichner-2016-sadf", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/aichner-2016-sadf-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/aichner-2016-sadf-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "aichner-2016-sadf-thesis.pdf", "type": "application/pdf", "size": 7158555, "path": "Publication:aichner-2016-sadf", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/aichner-2016-sadf-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/aichner-2016-sadf-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/", "__class": "Publication" }, { "id": "Groeller_2016_P7", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Depth functions as a quality measure and for steering multidimensional projections", "date": "2016-11", "abstract": "The analysis of multidimensional data has been a topic of continuous research for many years.This type of data can be found inseveral different areas ofscience. \nThe analysis of multidimensional data has been a topic of continuous research for many years. This type of data can be found in several different areas of science. A common task while analyzing such data is to investigate patterns by interacting with spatializations of the data in a visual domain. Understanding the relation between the underlying dataset characteristics and the technique used to provide its visual representation is of fundamental importance since it can provide a better intuition on what to expect from the spatialization. In this paper, we propose the usage of concepts from non-parametric statistics, namely depth functions, as a quality measure for spatializations. We evaluate the action of multi-dimensional projection techniques on such estimates. We apply both qualitative and quantitative ana-lyses on four different multidimensional techniques selected according to the properties they aim to preserve. We evaluate them with datasets of different characteristics: synthetic, real world, high dimensional; and contaminated with outliers. As a straightforward application, we propose to use depth information to guide multidimensional projection techniques which rely on interaction through control point selection and positioning. Even for techniques which do not intend to preserve any centrality measure, interesting results can be achieved by separating regions possibly contaminated with outliers.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 453, "image_height": 362, "name": "Groeller_2016_P7-image.PNG", "type": "image/png", "size": 28144, "path": "Publication:Groeller_2016_P7", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P7/Groeller_2016_P7-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P7/Groeller_2016_P7-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1408, 1195, 1413, 166, 1414, 1415 ], "issn": "doi: 10.1016/j.cag.2016.08.008", "journal": "Computers & Graphics (Special Section on SIBGRAPI 2016)", "lecturer": [ 1416 ], "pages_from": "93", "pages_to": "106", "volume": "60", "research_areas": [ "Perception" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 453, "image_height": 362, "name": "Groeller_2016_P7-image.PNG", "type": "image/png", "size": 28144, "path": "Publication:Groeller_2016_P7", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P7/Groeller_2016_P7-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P7/Groeller_2016_P7-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Groeller_2016_P7-Paper.pdf", "type": "application/pdf", "size": 2203763, "path": "Publication:Groeller_2016_P7", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P7/Groeller_2016_P7-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P7/Groeller_2016_P7-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P7/", "__class": "Publication" }, { "id": "Kozlikova-Visualization-2016b", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Visualization of Biomolecular Structures: State of the Art Revisited", "date": "2016-11", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1248, 1249, 1251, 1250, 1253, 171, 1252, 1143, 1026 ], "doi": "10.1111/cgf.13072", "journal": "Computer Graphics Forum", "number": "XX", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kozlikova-Visualization-2016b/", "__class": "Publication" }, { "id": "LeMuzic_2016_PhD", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "From Atoms to Cells: Interactive and Illustrative Visualization of Digitally Reproduced Lifeforms", "date": "2016-10-06", "abstract": "Macromolecules, such as proteins, are the building blocks of the machinery of life, and therefore are essential to the comprehension of physiological processes. In physiology, illustrations and animations are often utilized as a mean of communication because they can easily be understood with little background knowledge. However, their realization\nrequires numerous months of manual work, which is both expensive and time consuming.\nComputational biology experts produce everyday large amount of data that is publicly available and that contains valuable information about the structure and also the function of these macromolecules. Instead of relying on manual work to generate illustrative\nvisualizations of the cell biology, we envision a solution that would utilize all the data already available in order to streamline the creation process.\nIn this thesis are presented several contributions that aim at enabling our vision. First, a novel GPU-based rendering pipeline that allows interactive visualization of realistic molecular datasets comprising up to hundreds of millions of macromolecules. The rendering pipeline is embedded into a popular game engine and well known computer graphics optimizations were adapted to support this type of data, such as level-of-detail, instancing and occlusion queries. Secondly, a new method for authoring cutaway views and improving spatial exploration of crowded molecular landscapes. The system relies on the use of clipping objects that are manually placed in the scene and on visibility\nequalizers that allows fine tuning of the visibility of each species present in the scene.\nAgent-based modeling produces trajectory data that can also be combined with structural information in order to animate these landscapes. The snapshots of the trajectories are often played in fast-forward to shorten the length of the visualized sequences, which also renders potentially interesting events occurring at a higher temporal resolution invisible. The third contribution is a solution to visualize time-lapse of agent-based\nsimulations that also reveals hidden information that is only observable at higher temporal resolutions. And finally, a new type of particle-system that utilize quantitative models as input and generate missing spatial information to enable the visualization of molecular trajectories and interactions. The particle-system produces a similar visual output as\ntraditional agent-based modeling tools for a much lower computational footprint and\nallows interactive changing of the simulation parameters, which was not achievable with previous methods.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 261, "image_height": 261, "name": "LeMuzic_2016_PhD-image.jpg", "type": "image/jpeg", "size": 21110, "path": "Publication:LeMuzic_2016_PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/LeMuzic_2016_PhD-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/LeMuzic_2016_PhD-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1189 ], "date_end": "2016", "date_start": "2013", "matrikelnr": "1326132", "reviewer_1": [ 171 ], "reviewer_2": [ 1399 ], "rigorosum": "2016-11-23", "supervisor": [ 171 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 261, "image_height": 261, "name": "LeMuzic_2016_PhD-image.jpg", "type": "image/jpeg", "size": 21110, "path": "Publication:LeMuzic_2016_PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/LeMuzic_2016_PhD-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/LeMuzic_2016_PhD-image:thumb{{size}}.png" }, { "description": null, "filetitle": "PhD-Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "LeMuzic_2016_PhD-PhD-Thesis.pdf", "type": "application/pdf", "size": 54355957, "path": "Publication:LeMuzic_2016_PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/LeMuzic_2016_PhD-PhD-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/LeMuzic_2016_PhD-PhD-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/", "__class": "Publication" }, { "id": "unterguggenberger-2016-realmar", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Realistic Rendering in Mobile Augmented Reality", "date": "2016-10-05", "abstract": "Augmented Reality (AR) applications combine a view of a physical, real-world environment\nwith computer-generated objects and effects in real-time. Depending on the application,\nit is desirable to maximize the visual coherence of the virtual objects compared to the\nreal-world image. To achieve this goal, virtual objects have to be rendered as realistically\nas possible. This thesis presents an image-based lighting (IBL) technique for realistic\nrendering of virtual objects on mobile devices which uses lighting information from the\nreal-world environment.\nIn the first step, the presented technique uses a mobile device’s camera and motion sensors\nto capture an omni-directional image of the surrounding in high dynamic range (HDR)\nand stores it in an environment map. In the second step, the captured environment map\nis prepared for rendering with different materials by calculating a set of maps. During\nrendering, the most suitable of these maps are selected for each material and used for\nshading a virtual object with the specific material. The map which contains diffuse\nillumination information is called irradiance map, and the maps which contain glossy or\nspecular illumination information are called reflection maps. The calculation of the maps\ncorresponds to a weighted convolution. The weighting is determined by a reflection model\nwhich takes the correct amount of incident lighting from all directions into account. How\nthese calculations can be performed efficiently on mobile devices is the main focus of this\nthesis. Multiple approaches to perform the calculations are described. Their properties,\nresults, strengths and weaknesses are analyzed and optimizations are proposed.\nWe describe three different approaches for the calculation of irradiance and reflection maps\nin this thesis: the accurate calculation, a MIP-mapping based approximation method,\nand calculation via spherical harmonics (SH) frequency space. We provide detailed\nimplementation instructions, analyses, and discussions for each of these approaches with\nregard to the properties and limitations of mobile devices. Furthermore, we describe how\nthe calculated maps can be used with IBL rendering and be combined with established\nrendering techniques to achieve a high degree of visual coherence of virtual objects in\nAR scenes.\nThe main novelty of this thesis is its focus on the capabilities of mobile devices. We\ndescribe how to do all steps on a single commodity mobile device: From capturing the\nenvironment at a certain point in space, to calculating the irradiance and reflection maps,\nand finally rendering virtual objects using the calculated maps in an AR scene.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1275, "image_height": 686, "name": "unterguggenberger-2016-realmar-image.jpg", "type": "image/jpeg", "size": 195980, "path": "Publication:unterguggenberger-2016-realmar", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/unterguggenberger-2016-realmar-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/unterguggenberger-2016-realmar-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 848 ], "co_supervisor": [ 1720 ], "date_end": "2016-10", "date_start": "2014-07", "diploma_examina": "2016-11-15", "matrikelnr": "00721639", "open_access": "no", "supervisor": [ 378 ], "research_areas": [], "keywords": [ "Augmented Reality", "Mobile", "Vuforia", "Irradiance Mapping", "Reflection Mapping", "Spherical Harmonics" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1275, "image_height": 686, "name": "unterguggenberger-2016-realmar-image.jpg", "type": "image/jpeg", "size": 195980, "path": "Publication:unterguggenberger-2016-realmar", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/unterguggenberger-2016-realmar-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/unterguggenberger-2016-realmar-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "unterguggenberger-2016-realmar-poster.pdf", "type": "application/pdf", "size": 4222265, "path": "Publication:unterguggenberger-2016-realmar", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/unterguggenberger-2016-realmar-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/unterguggenberger-2016-realmar-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "unterguggenberger-2016-realmar-thesis.pdf", "type": "application/pdf", "size": 18242639, "path": "Publication:unterguggenberger-2016-realmar", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/unterguggenberger-2016-realmar-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/unterguggenberger-2016-realmar-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/", "__class": "Publication" }, { "id": "Reichinger-2016-spaghetti", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Spaghetti, Sink and Sarcophagus: Design Explorations of Tactile Artworks for Visually Impaired People", "date": "2016-10", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 879, 190 ], "booktitle": "Proceedings of the 9th Nordic Conference on CHI 2016", "date_from": "2016", "event": "9th Nordic Conference on CHI 2016", "lecturer": [ 879 ], "research_areas": [ "Fabrication", "Perception" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger-2016-spaghetti/", "__class": "Publication" }, { "id": "Groeller_2016_I4", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Data Exploration", "date": "2016-10", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_to": "2016-10-11", "event": "Keynote talk at the 21st International Symposium on Vision, Modeling and Visualization (VMV 2016), Bayreuth, Germany", "location": "Keynote talk at the 21st International Symposium on Vision, Modeling and Visualization (VMV 2016), Bayreuth, Germany", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_I4/", "__class": "Publication" }, { "id": "Reichinger_2016", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Gesture-Based Interactive Audio Guide on Tactile Reliefs", "date": "2016-10", "abstract": "For blind and visually impaired people, tactile reliefs offer many benefits over the more classic raised line drawings or tactile diagrams, as depth, 3D shape and surface textures are directly perceivable. However, without proper guidance some reliefs are still difficult to explore autonomously.\nIn this work, we present a gesture-controlled interactive audio guide (IAG) based on recent low-cost depth cameras that operates directly on relief surfaces. The interactively explorable, location-dependent verbal descriptions promise rapid tactile accessibility to 2.5D spatial information in a home or education setting, to on-line resources, or as a kiosk installation at \npublic places.\nWe present a working prototype, discuss design decisions and present the results of two evaluation sessions with a total of \n20 visually impaired test users.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 404, "image_height": 262, "name": "Reichinger_2016-image.jpg", "type": "image/jpeg", "size": 19342, "path": "Publication:Reichinger_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 879, 228, 204, 190 ], "date_from": "2016-10-23", "date_to": "2016-10-26", "event": "18th International ACM SIGACCESS Conference on Computers and Accessibility", "journal": "Proceedings of the 18th International ACM SIGACCESS Conference on Computers & Accessibility", "lecturer": [ 879 ], "location": "Reno, Nevada, USA", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 404, "image_height": 262, "name": "Reichinger_2016-image.jpg", "type": "image/jpeg", "size": 19342, "path": "Publication:Reichinger_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Reichinger_2016-Paper.pdf", "type": "application/pdf", "size": 5469565, "path": "Publication:Reichinger_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/", "__class": "Publication" }, { "id": "erler_philipp-2016-femfluid-prakt", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Finite Element Fluids in Matlab", "date": "2016-10", "abstract": "Implementation of a 2D finite elements free-surface liquid simulation with solid obstables in Matlab.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 801, "image_height": 801, "name": "erler_philipp-2016-femfluid-prakt-image.png", "type": "image/png", "size": 33173, "path": "Publication:erler_philipp-2016-femfluid-prakt", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/erler_philipp-2016-femfluid-prakt-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/erler_philipp-2016-femfluid-prakt-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1395 ], "date_end": "2016-10", "date_start": "2015-07", "matrikelnr": "1426424", "supervisor": [ 1090, 193 ], "research_areas": [ "Modeling" ], "keywords": [ "Finite Element Method", "FEM", "Fluid Simulation" ], "weblinks": [ { "href": "https://philipperler.net/2016/11/16/fem-fluid/", "caption": "Project website with code and videos", "description": null, "main_file": 0 } ], "files": [ { "description": "example with many blockers", "filetitle": "animated screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 808, "image_height": 808, "name": "erler_philipp-2016-femfluid-prakt-animated screenshot.gif", "type": "image/gif", "size": 4040931, "path": "Publication:erler_philipp-2016-femfluid-prakt", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/erler_philipp-2016-femfluid-prakt-animated screenshot.gif", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/erler_philipp-2016-femfluid-prakt-animated screenshot:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 801, "image_height": 801, "name": "erler_philipp-2016-femfluid-prakt-image.png", "type": "image/png", "size": 33173, "path": "Publication:erler_philipp-2016-femfluid-prakt", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/erler_philipp-2016-femfluid-prakt-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/erler_philipp-2016-femfluid-prakt-image:thumb{{size}}.png" }, { "description": "Summary of findings, including an analysis of volume loss with respect to grid resolution and time stepping.", "filetitle": "Technical Report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "erler_philipp-2016-femfluid-prakt-Technical Report.pdf", "type": "application/pdf", "size": 16515661, "path": "Publication:erler_philipp-2016-femfluid-prakt", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/erler_philipp-2016-femfluid-prakt-Technical Report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/erler_philipp-2016-femfluid-prakt-Technical Report:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/", "__class": "Publication" }, { "id": "Przemyslaw_Gora_2016_UVU", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Unreal vs Unity: Ein Vergleich zwischen zwei modernen Spiele-Engines", "date": "2016-10", "abstract": "This bachelor’s thesis focuses on the comparison of two game engines, the Unreal Engine 4 and Unity 5 Engine. We will take a closer look at the different aspects that we find important, describe and compare them. Starting with the content-pipeline, which includes the usage of externally created content, we will focus on three big categories: Audio, Images and 3D-Assets. During this process it will be shown that Unity 5 supports much more formats to import than the Unreal Engine 4. This is especially noticeable with Audio and 3D-Assets. For the latter there is a feature in Unity 5 that allows you to directly import formats of various modelling tools like Maya, although it is fair to mention that in a few cases one will be reverting to the standard way of importing FBX files. While Unreal Engine 4 doesn’t have a huge support for external formats it offers more options to use the assets within the engine. \n\nIn the following chapter we will take a look at the features each engine has to offer. Both, Unreal and Unity, have a big arsenal of tools to simplify various aspects of the development process. Yet again the Unreal Engines offers a greater set of options. Afterwards we will create a simple small project in Unreal Engine 4 and Unity 5 to demonstrate the usability and tools both engines have to offer. As we will see, the level design and placing of some objects in the editor is very similar. The interesting part starts with the creation of a controllable player character. The behaviour of such is realized differently on both sides. In Unity 5 one uses C#-scripts whereas Unreal Engine 4 offers visual scripting. We will compare those two systems and point out their pros and cons.\n\nIn the further course we will take a look at the list of effects from the lecture UE Computergraphik (186.831) and check if they are available in either of both engines. In the last chapter, we’ll take a look at the legal aspects and limitation when using Unreal and Unity. It’s interesting to see how far it is possible to use those engines in university lectures.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1393, 1394 ], "date_end": "2016", "date_start": "2015", "matrikelnr": "0825680", "note": "1", "supervisor": [ 193, 1120 ], "research_areas": [ "Rendering" ], "keywords": [ "Unreal, Unity 3D, Game Engine" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Przemyslaw_Gora_2016_UVU-thesis.pdf", "type": "application/pdf", "size": 9351058, "path": "Publication:Przemyslaw_Gora_2016_UVU", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Przemyslaw_Gora_2016_UVU/Przemyslaw_Gora_2016_UVU-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Przemyslaw_Gora_2016_UVU/Przemyslaw_Gora_2016_UVU-thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Unity Project", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Przemyslaw_Gora_2016_UVU-Unity Project.zip", "type": "application/x-zip-compressed", "size": 3786768, "path": "Publication:Przemyslaw_Gora_2016_UVU", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Przemyslaw_Gora_2016_UVU/Przemyslaw_Gora_2016_UVU-Unity Project.zip", "thumb_image_sizes": [] }, { "description": null, "filetitle": "Unreal Project", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Przemyslaw_Gora_2016_UVU-Unreal Project.zip", "type": "application/x-zip-compressed", "size": 765634, "path": "Publication:Przemyslaw_Gora_2016_UVU", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Przemyslaw_Gora_2016_UVU/Przemyslaw_Gora_2016_UVU-Unreal Project.zip", "thumb_image_sizes": [] } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Przemyslaw_Gora_2016_UVU/", "__class": "Publication" }, { "id": "WIMMER-2016-HARVEST4D", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Harvesting Dynamic 3DWorlds from Commodity Sensor Clouds", "date": "2016-10", "abstract": "The EU FP7 FET-Open project \"Harvest4D: Harvesting Dynamic 3D Worlds from Commodity Sensor Clouds\" deals with the acquisition, processing, and display of dynamic 3D data. Technological progress is offering us a wide-spread availability of sensing devices that deliver different data streams, which can be easily deployed in the real world and produce streams of sampled data with increased density and easier iteration of the sampling process. These data need to be processed and displayed in a new way. The Harvest4D project proposes a radical change in acquisition and processing technology: instead of a goal-driven acquisition that determines the devices and sensors, its methods let the sensors and resulting available data determine the acquisition process. A variety of challenging problems need to be solved: huge data amounts, different modalities, varying scales, dynamic, noisy and colorful data. This short contribution presents a selection of the many scientific results produced by Harvest4D. We will focus on those results that could bring a major impact to the Cultural Heritage domain, namely facilitating the acquisition of the sampled data or providing advanced visual analysis capabilities.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 861, "image_height": 123, "name": "WIMMER-2016-HARVEST4D-image.png", "type": "image/png", "size": 25487, "path": "Publication:WIMMER-2016-HARVEST4D", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/WIMMER-2016-HARVEST4D-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/WIMMER-2016-HARVEST4D-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1518, 1519, 823, 1520, 1326, 1521, 1522, 193 ], "booktitle": "Proceedings of the 14th Eurographics Workshop on Graphics and Cultural Heritage", "date_from": "2016-10-05", "date_to": "2016-10-07", "doi": "10.2312/gch.20161378", "editor": "Chiara Eva Catalano and Livio De Luca", "event": "GCH 2016", "isbn": "978-3-03868-011-6", "lecturer": [ 1518 ], "location": "Genova, Italy", "pages_from": "19", "pages_to": "22", "publisher": "Eurographics Association", "research_areas": [ "Geometry", "Rendering" ], "keywords": [ "acquisition", "3d scanning", "reconstruction" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 861, "image_height": 123, "name": "WIMMER-2016-HARVEST4D-image.png", "type": "image/png", "size": 25487, "path": "Publication:WIMMER-2016-HARVEST4D", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/WIMMER-2016-HARVEST4D-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/WIMMER-2016-HARVEST4D-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "WIMMER-2016-HARVEST4D-paper.pdf", "type": "application/pdf", "size": 11624405, "path": "Publication:WIMMER-2016-HARVEST4D", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/WIMMER-2016-HARVEST4D-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/WIMMER-2016-HARVEST4D-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/", "__class": "Publication" }, { "id": "Groeller_2016_P6", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "PorosityAnalyzer: Visual Analysis and Evaluation of Segmentation Pipelines to Determine the Porosity in Fiber-Reinforced Polymers", "date": "2016-10", "abstract": "In this paper we present PorosityAnalyzer, a novel tool for detailed evaluation and visual analysis of pore segmentation pipelines to determine the porosity in fiber-reinforced polymers (FRPs). The presented tool consists of two modules: the computation module and the analysis module. The computation module enables a convenient setup and execution of distributed off-line-computations on industrial 3D X-ray computed tomography datasets. It allows the user to assemble individual segmentation pipelines in the form of single pipeline steps, and to specify the parameter ranges as well as the sampling of the parameter-space of each pipeline segment. The result of a single segmentation run consists of the input parameters, the calculated 3D binary-segmentation mask, the resulting porosity value, and other derived results (e.g., segmentation pipeline runtime). The analysis module presents the data at different levels of detail by drill-down filtering in order to determine accurate and robust segmentation pipelines. Overview visualizations allow to initially compare and evaluate the segmentation pipelines. With a scatter plot matrix (SPLOM), the segmentation pipelines are examined in more detail based on their input and output parameters. Individual segmentation-pipeline runs are selected in the SPLOM and visually examined and compared in 2D slice views and 3D renderings by using aggregated segmentation masks and statistical contour renderings. PorosityAnalyzer has been thoroughly evaluated with the help of twelve domain experts. Two case studies demonstrate the applicability of our proposed concepts and visualization techniques, and show that our tool helps domain experts to gain new insights and improve their workflow efficiency.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 570, "image_height": 436, "name": "Groeller_2016_P6-image.PNG", "type": "image/png", "size": 307225, "path": "Publication:Groeller_2016_P6", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P6/Groeller_2016_P6-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P6/Groeller_2016_P6-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1169, 817, 166, 571, 611 ], "booktitle": "IEEE Conference on Visual Analytics Science and Technology, 2016 (VAST 2016)", "lecturer": [ 651 ], "pages_from": "101", "pages_to": "110", "publisher": "IEEE Computer Society", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://vimeo.com/182984586", "caption": "Video", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 570, "image_height": 436, "name": "Groeller_2016_P6-image.PNG", "type": "image/png", "size": 307225, "path": "Publication:Groeller_2016_P6", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P6/Groeller_2016_P6-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P6/Groeller_2016_P6-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P6/", "__class": "Publication" }, { "id": "SCHUETZ-2016-POT", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Potree: Rendering Large Point Clouds in Web Browsers", "date": "2016-09-19", "abstract": "This thesis introduces Potree, a web-based renderer for large point clouds. It allows users\nto view data sets with billions of points, from sources such as LIDAR or photogrammetry,\nin real time in standard web browsers.\nOne of the main advantages of point cloud visualization in web browser is that it\nallows users to share their data sets with clients or the public without the need to install\nthird-party applications and transfer huge amounts of data in advance. The focus on\nlarge point clouds, and a variety of measuring tools, also allows users to use Potree to\nlook at, analyze and validate raw point cloud data, without the need for a time-intensive\nand potentially costly meshing step.\nThe streaming and rendering of billions of points in web browsers, without the need\nto load large amounts of data in advance, is achieved with a hierarchical structure that\nstores subsamples of the original data at different resolutions. A low resolution is stored\nin the root node and with each level, the resolution gradually increases. The structure\nallows Potree to cull regions of the point cloud that are outside the view frustum, and\nto render distant regions at a lower level of detail.\nThe result is an open source point cloud viewer, which was able to render point cloud\ndata sets of up to 597 billion points, roughly 1.6 terabytes after compression, in real time\nin a web browser.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Around 280 million points.\nPoint cloud courtesy of Pix4D.", "filetitle": "Matterhorn", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 906, "image_height": 741, "name": "SCHUETZ-2016-POT-Matterhorn.png", "type": "image/png", "size": 989456, "path": "Publication:SCHUETZ-2016-POT", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-Matterhorn.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-Matterhorn:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1116 ], "date_end": "2016-09-10", "date_start": "2014-08-01", "matrikelnr": "0825723", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "point cloud rendering", "WebGL", "LIDAR" ], "weblinks": [ { "href": "https://github.com/potree", "caption": "github repository", "description": null, "main_file": 0 } ], "files": [ { "description": "Around 17 billion points. \nPoint cloud courtesy of Open Topography and PG&E.", "filetitle": " San Luis Obispo County coast", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2000, "image_height": 990, "name": "SCHUETZ-2016-POT- San Luis Obispo County coast.jpg", "type": "image/jpeg", "size": 386647, "path": "Publication:SCHUETZ-2016-POT", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT- San Luis Obispo County coast.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT- San Luis Obispo County coast:thumb{{size}}.png" }, { "description": "Around 280 million points.\nPoint cloud courtesy of Pix4D.", "filetitle": "Matterhorn", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 906, "image_height": 741, "name": "SCHUETZ-2016-POT-Matterhorn.png", "type": "image/png", "size": 989456, "path": "Publication:SCHUETZ-2016-POT", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-Matterhorn.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-Matterhorn:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": null, "preview_image_height": null, "name": "SCHUETZ-2016-POT-poster.pdf", "type": "application/pdf", "size": 18316148, "path": "Publication:SCHUETZ-2016-POT", "preview_name": "SCHUETZ-2016-POT-poster:preview.png", "preview_type": null, "preview_size": null, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-poster.pdf", "thumb_image_sizes": [] }, { "description": "Point cloud courtesy of Riegl.", "filetitle": "Retz", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 866, "image_height": 533, "name": "SCHUETZ-2016-POT-Retz.png", "type": "image/png", "size": 952898, "path": "Publication:SCHUETZ-2016-POT", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-Retz.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-Retz:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 906, "preview_image_height": 741, "name": "SCHUETZ-2016-POT-thesis.pdf", "type": "application/pdf", "size": 95787159, "path": "Publication:SCHUETZ-2016-POT", "preview_name": "SCHUETZ-2016-POT-thesis:preview.png", "preview_type": "image/png", "preview_size": 989456, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/", "__class": "Publication" }, { "id": "Groeller_2016_P4", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visual Analytics for the Exploration and Assessment of Segmentation Errors", "date": "2016-09-07", "abstract": "Several diagnostic and treatment procedures require the segmentation of anatomical structures from medical images. However, the automatic model-based methods that are often employed, may produce inaccurate segmentations. These, if used as input for diagnosis or treatment, can have detrimental effects for the patients. Currently, an analysis to predict which anatomic regions are more prone to inaccuracies, and to determine how to improve segmentation algorithms, cannot be performed. We propose a visual tool to enable experts, working on model-based segmentation algorithms, to explore and analyze the outcomes and errors of their methods. Our approach supports the exploration of errors in a cohort of pelvic organ segmentations, where the\nperformance of an algorithm can be assessed. Also, it enables the detailed exploration and assessment of segmentation errors, in individual subjects. To the best of our knowledge, there is no other tool with comparable functionality. A usage scenario is employed to explore and illustrate the capabilities of our visual tool. To further assess the value of the proposed tool, we performed an evaluation with five segmentation experts. The evaluation participants confirmed the potential of the tool in providing new insight into their data and employed algorithms. They also gave feedback for future improvements.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 360, "image_height": 335, "name": "Groeller_2016_P4-image.PNG", "type": "image/png", "size": 191339, "path": "Publication:Groeller_2016_P4", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P4/Groeller_2016_P4-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P4/Groeller_2016_P4-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410, 1411, 679, 166, 459, 1412 ], "journal": "Eurographics Workshop on Visual Computing for Biology and Medicine", "lecturer": [ 161, 563, 459 ], "pages_from": "193", "pages_to": "202", "research_areas": [ "InfoVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 360, "image_height": 335, "name": "Groeller_2016_P4-image.PNG", "type": "image/png", "size": 191339, "path": "Publication:Groeller_2016_P4", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P4/Groeller_2016_P4-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P4/Groeller_2016_P4-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Groeller_2016_P4-Paper.pdf", "type": "application/pdf", "size": 8104018, "path": "Publication:Groeller_2016_P4", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P4/Groeller_2016_P4-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P4/Groeller_2016_P4-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P4/", "__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": "sorger-2016-fowardabstraction", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Illustrative Transitions in Molecular Visualization via Forward and Inverse Abstraction Transform", "date": "2016-09", "abstract": "A challenging problem in biology is the incompleteness of acquired information when visualizing biological phenomena. Structural biology generates detailed models of viruses or bacteria at different development stages, while the processes that relate one stage to another are often not clear. Similarly, the entire life cycle of a biological entity might be available as a quantitative model, while only one structural model is available. If the relation between two models is specified at a lower level of detail than the actual models themselves, the two models cannot be interpolated correctly. We propose a method that deals with the visualization of incomplete data information in the developmental or evolutionary states of biological mesoscale models, such as viruses or microorganisms. The central tool in our approach is visual abstraction. Instead of directly interpolating between two models that show different states of an organism, we gradually forward transform the models into a level of visual abstraction that matches the level of detail of the modeled relation between them. At this level, the models can be interpolated without conveying false information. After the interpolation to the new state, we apply the inverse transformation to the model’'s original level of abstraction. To show the flexibility of our approach, we demonstrate our method on the basis of molecular data, in particular data of the HIV virion and the mycoplasma bacterium.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2084, "image_height": 1027, "name": "sorger-2016-fowardabstraction-teaser.png", "type": "image/png", "size": 2349725, "path": "Publication:sorger-2016-fowardabstraction", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1072, 935, 1285, 1379, 171 ], "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM)", "editor": "S. Bruckner, B. Preim, and A. Vilanova", "location": "Bergen", "organization": "Eurographics", "pages_from": "21", "pages_to": "30", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "I.3.3 [Computer Graphics]: Picture/Image Generation-Display algorithms" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sorger-2016-fowardabstraction-paper.pdf", "type": "application/pdf", "size": 4626761, "path": "Publication:sorger-2016-fowardabstraction", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2084, "image_height": 1027, "name": "sorger-2016-fowardabstraction-teaser.png", "type": "image/png", "size": 2349725, "path": "Publication:sorger-2016-fowardabstraction", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sorger-2016-fowardabstraction-video.mp4", "type": "video/mp4", "size": 41423527, "path": "Publication:sorger-2016-fowardabstraction", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-video:video.mp4" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/", "__class": "Publication" }, { "id": "prost-2016-molecule", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Molecule-Rendering in Unity3D", "date": "2016-09", "abstract": "Due to their omnipresence and ease of use, smart phones are getting more and more utilized\nas educational instruments for different subjects, for example, visualizing molecules in a chemistry class. In domain-specific mobile visualization applications, the choice of the ideal visualization technique of molecules can vary based on the background and age of the target group, and mostly depends on the choice of a graphical designer. Designers, however, rarely have sufficient programming skills and require an engineer even for the slightest adjustment in the required visual appearance. In this thesis we present a configuration system for rendering effects implemented in Unity3D, that allows to define the visual appearance of a molecule in a JSON file without the need of programming knowledge. We discuss the technical realization of different rendering effects on a mobile platform, and demonstrate our system and its versatility on a commercial chemistry visualization app, creating different visual styles for molecule renderings that are appealing to students as well as scientists and advertisement.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 365, "image_height": 368, "name": "prost-2016-molecule-image.jpg", "type": "image/jpeg", "size": 25682, "path": "Publication:prost-2016-molecule", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/prost-2016-molecule-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/prost-2016-molecule-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1377 ], "date_end": "2016-09", "date_start": "2015-10", "matrikelnr": "1225511", "supervisor": [ 193, 799 ], "research_areas": [ "IllVis", "Rendering" ], "keywords": [ "molecule visualization", "Unity", "rendering effects", "mobile devices" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 365, "image_height": 368, "name": "prost-2016-molecule-image.jpg", "type": "image/jpeg", "size": 25682, "path": "Publication:prost-2016-molecule", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/prost-2016-molecule-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/prost-2016-molecule-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 386, "preview_image_height": 387, "name": "prost-2016-molecule-thesis.pdf", "type": "application/pdf", "size": 13068587, "path": "Publication:prost-2016-molecule", "preview_name": "prost-2016-molecule-thesis:preview.jpg", "preview_type": "image/jpeg", "preview_size": 25787, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/prost-2016-molecule-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/prost-2016-molecule-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/", "__class": "Publication" }, { "id": "dworschak-2016-szcm", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Semantically Zoomable Choropleth Map", "date": "2016-09", "abstract": "Geographic visualizations, like choropleth maps, are used to visualize data on geographic\nregions. In this thesis a choropleth map was implemented to display quantities of\npublications of scientific texts and papers. With the use of a choropleth map the viewer\nis able to interpret how quantitative data changes on different geographic regions. The\nmain feature that distinguishes the implemented choropleth map from conventional ones\nis the use of map navigation. The choropleth map can be zoomed and panned to different\nmap regions. What makes this map navigation so special is the use of semantic zooming\nto allow the level of detail of the map to change on discrete zoom steps. The change\nof the level of detail means that administrative regions are being divided into smaller\nadministrative regions which are than again colorized individually to create a new, more\ndetailed, choropleth map. Other interactions with the choropleth map are introduced\nadditionally. The other interactions with the map range from the manipulation of the\nmap appearance to filtering the displayed data set.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 637, "image_height": 185, "name": "dworschak-2016-szcm-teaser.png", "type": "image/png", "size": 73351, "path": "Publication:dworschak-2016-szcm", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/dworschak-2016-szcm-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/dworschak-2016-szcm-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1353 ], "date_end": "2016-09", "date_start": "2016-05", "duration": "5 months", "matrikelnr": "1225883", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 637, "image_height": 185, "name": "dworschak-2016-szcm-teaser.png", "type": "image/png", "size": 73351, "path": "Publication:dworschak-2016-szcm", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/dworschak-2016-szcm-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/dworschak-2016-szcm-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "dworschak-2016-szcm-thesis.pdf", "type": "application/pdf", "size": 6720884, "path": "Publication:dworschak-2016-szcm", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/dworschak-2016-szcm-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/dworschak-2016-szcm-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/", "__class": "Publication" }, { "id": "Spechtenhauser_Florian_2016", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Visual Analytics for Rule-Based Quality Management of Multivariate Data", "date": "2016-08", "abstract": "Ensuring an appropriate data quality is a critical topic when analyzing the ever increasing amounts of data collected and generated in today’s world. Depending on the given task, even sophisticated analysis methods may cause misleading results due to an insufficient quality of the data set at hand. In this case, automated plausibility checks based on defined rules are frequently used to detect data problems such as missing data or anomalies.\nHowever, defining such rules and using their results for an efficient data quality\nassessment is a challenging topic. Visualization is powerful to reveal unexpected problems in the data, and can additionally be used to validate results of applied automated plausibility checks. Visual Analytics closes the gap between automated data analysis and visualization by providing means to guide the definition and optimization of plausibility checks in order to use them for a continuous detection and validation of problems detected in the data.\nThis diploma thesis provides a design study of a Visual Analytics approach, called Data Quality Overview, which provides a detailed, yet scalable summary of the results of defined plausibility checks, and includes means for validation and investigation of these results at various levels of detail. The approach is based on a detailed task analysis of\ndata quality assessment, and is validated using a case study based on sensor data from the energy sector in addition to feedback collected from domain experts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 549, "image_height": 522, "name": "Spechtenhauser_Florian_2016-image.jpg", "type": "image/jpeg", "size": 60977, "path": "Publication:Spechtenhauser_Florian_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1094 ], "date_end": "2016-08", "date_start": "2015", "matrikelnr": "0826226", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 549, "image_height": 522, "name": "Spechtenhauser_Florian_2016-image.jpg", "type": "image/jpeg", "size": 60977, "path": "Publication:Spechtenhauser_Florian_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Spechtenhauser_Florian_2016-thesis.pdf", "type": "application/pdf", "size": 15688971, "path": "Publication:Spechtenhauser_Florian_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/", "__class": "Publication" }, { "id": "Tucek_Tom-2016-aai", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Agent-based architecture for artistic real-time installation", "date": "2016-08", "abstract": "The aim of this thesis is to transfer artistically predetermined scenarios and behaviours\nfor several digital figures acting in the context of an artistic art installation\ninto an agent based system and develop the corresponding agent behaviours.\nFor his purpose the agent-oriented programming language called AgentSpeak is used.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1534 ], "date_end": "2017", "date_start": "2016-08", "matrikelnr": "1325775", "supervisor": [ 193, 1128 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Tucek_Tom-2016-aai/", "__class": "Publication" }, { "id": "Wang-2016-BAC", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Game Design Patterns for CPU Performance Gain in Games\t", "date": "2016-08", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1570 ], "date_end": "2016-08", "date_start": "2016-01", "matrikelnr": "1226083", "supervisor": [ 193, 1120 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 790, "image_height": 589, "name": "Wang-2016-BAC-image.png", "type": "image/png", "size": 634295, "path": "Publication:Wang-2016-BAC", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Wang-2016-BAC/Wang-2016-BAC-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Wang-2016-BAC/Wang-2016-BAC-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Wang-2016-BAC-thesis.pdf", "type": "application/pdf", "size": 1041340, "path": "Publication:Wang-2016-BAC", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Wang-2016-BAC/Wang-2016-BAC-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Wang-2016-BAC/Wang-2016-BAC-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Wang-2016-BAC/", "__class": "Publication" }, { "id": "bernhard-2016-gft", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": " The Accuracy of Gauge-Figure Tasks in Monoscopic and Stereo Displays", "date": "2016-07", "abstract": "The gauge-figure task (GFT) is a widespread method used to study surface perception for evaluating rendering and visualization techniques. The authors investigate how accurately slant angles probed on well-defined objects align with the ground truth (GT) in monoscopic and stereoscopic displays. Their results show that the GFT probes taken with well-defined objects align well with the GT in the all-monoscopic and all-stereoscopic conditions. However, they found that a GF rendered in stereo over a monoscopic stimulus results in a strong slant underestimation and that an overestimation occurred in the inverse case (monoscopic GF andstereoscopic stimulus). They discuss how their findings affect the interpretation of absolute GFT measures, compared to the GT normal.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 216, "image_height": 205, "name": "bernhard-2016-gft-.jpg", "type": "image/jpeg", "size": 38475, "path": "Publication:bernhard-2016-gft", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/bernhard-2016-gft-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/bernhard-2016-gft-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 660, 1110, 1293, 896, 171 ], "journal": "IEEE Computer Graphics and Applications", "number": "4", "pages_from": "56", "pages_to": "66", "volume": "36", "research_areas": [ "Perception" ], "keywords": [ "computer graphics", "gauge-figure task", "perceptual visualization", "shape perception" ], "weblinks": [ { "href": "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7478440", "caption": "IEEE Xplore", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 216, "image_height": 205, "name": "bernhard-2016-gft-.jpg", "type": "image/jpeg", "size": 38475, "path": "Publication:bernhard-2016-gft", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/bernhard-2016-gft-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/bernhard-2016-gft-:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/", "__class": "Publication" }, { "id": "Kehl-Direct-2016", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Direct Image-to-Geometry Registration Using Mobile Sensor Data", "date": "2016-07", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1514, 1515, 1516, 171, 1156 ], "date_from": "2016", "date_to": "2016", "doi": "10.5194/isprs-annals-III-2-121-2016", "event": "ISPRS", "journal": "ISPRS Annals of Photogrammetry, Remote Sensing and Spatial InformationSciences", "lecturer": [ 1514 ], "pages": "121–128", "pages_from": "121", "pages_to": "128", "volume": "III-2", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kehl-Direct-2016/", "__class": "Publication" }, { "id": "leimer-2016-rpe", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Relation-Based Parametrization and Exploration of Shape Collections", "date": "2016-07", "abstract": "With online repositories for 3D models like 3D Warehouse becoming more prevalent and growing ever larger, new possibilities have opened up for both experienced and inexperienced users alike. These large collections of shapes can provide inspiration for designers or make it possible to synthesize new shapes by combining different parts from already existing shapes, which can be both easy to learn and a fast way of creating new shapes.\n\nBut exploring large shape collections or searching for particular kinds of shapes can be difficult and time-consuming tasks as well, especially considering that online repositories are often disorganized. In our work, we propose a relation-based way to parametrize shape collections, allowing the user to explore the entire set of shapes by controlling a small number of parameters.", "authors_et_al": false, "substitute": null, "main_image": { "description": "thumbnail", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1589, "image_height": 1028, "name": "leimer-2016-rpe-thumbnail.jpg", "type": "image/jpeg", "size": 835063, "path": "Publication:leimer-2016-rpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-thumbnail.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-thumbnail:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1019, 193, 844 ], "booktitle": "ACM SIGGRAPH 2016 Posters", "date_from": "2016-07-24", "date_to": "2016-07-28", "event": "ACM SIGGRAPH 2016", "isbn": "978-1-4503-4371-8", "location": "Anaheim, CA, USA", "pages_from": "34:1", "pages_to": "34:1", "publisher": "ACM", "research_areas": [ "Geometry", "Modeling" ], "keywords": [ "3D database exploration", "shape analysis", "shape collections" ], "weblinks": [], "files": [ { "description": "abstract", "filetitle": "abstract", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer-2016-rpe-abstract.pdf", "type": "application/pdf", "size": 1415754, "path": "Publication:leimer-2016-rpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-abstract.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-abstract:thumb{{size}}.png" }, { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 3434, "image_height": 2277, "name": "leimer-2016-rpe-image.jpg", "type": "image/jpeg", "size": 2935937, "path": "Publication:leimer-2016-rpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-image:thumb{{size}}.png" }, { "description": "poster", "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer-2016-rpe-poster.pdf", "type": "application/pdf", "size": 1305359, "path": "Publication:leimer-2016-rpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-poster:thumb{{size}}.png" }, { "description": "thumbnail", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1589, "image_height": 1028, "name": "leimer-2016-rpe-thumbnail.jpg", "type": "image/jpeg", "size": 835063, "path": "Publication:leimer-2016-rpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-thumbnail.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-thumbnail:thumb{{size}}.png" }, { "description": "video", "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer-2016-rpe-video.mp4", "type": "video/mp4", "size": 7108944, "path": "Publication:leimer-2016-rpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-video:video.mp4" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/", "__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": "Reimerth_Saskia_2016_RGU", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Redesigning the Graphical User Interface of an Application for Visualizing prenatal 3D Ultrasound Scans", "date": "2016-06-19", "abstract": "The goal of this Bachelor’s thesis was to take an existing application for the representation\nof volume data and redesign the user interface for the use as an application to represent\n3D ultra sound scans of babies. Therefore the original design got evaluated and reduced\nto the most important functions. A requirement analysis was conducted and based on it,\na modern and simple Design got developed. After this iterative process, a prototype was\ncreated, which then got evaluated again.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1368 ], "matrikelnr": "0807136", "supervisor": [ 190 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Reimerth_Saskia_2016_RGU-Bachelor Thesis.pdf", "type": "application/pdf", "size": 3183044, "path": "Publication:Reimerth_Saskia_2016_RGU", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reimerth_Saskia_2016_RGU/Reimerth_Saskia_2016_RGU-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reimerth_Saskia_2016_RGU/Reimerth_Saskia_2016_RGU-Bachelor Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reimerth_Saskia_2016_RGU/", "__class": "Publication" }, { "id": "Gadllah_Hani_2016", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Comparative Visualization of the Circle of Willis", "date": "2016-06", "abstract": "The human brain is supplied with blood by arteries that form a collateral circulation, the so-called Circle of Willis (CoW). The anatomy of the CoW varies considerably among the population. In fact, depending on the study, just 13% to 72% of the population does have the typical textbook illustration of the CoW. Although divergent configurations are usually not pathological, some incomplete configurations increase the risk of stroke.\nFurthermore, studies suggest an association between certain neurological diseases and abnormal configurations of the CoW. Thus, for the diagnosis and treatment of diverse neurological diseases the assessment of the patient’s CoW is an important issue. This thesis addresses the development of a software for a comparative visualization of the CoWs\nof a population with the CoWs of a second population. For this purpose, an average CoW is calculated for each of the populations. The two resulting CoWs are then visualized side-by-side, so that the viewer is able to distinguish differences between the CoWs of the two populations with relatively little effort. The aim of this visualization is the support\nof studies that consider the clinical significance of the different CoW configurations as well as the support of diagnosis and treatment of diseases that are caused by an abnormal configuration of the CoW. The latter can be achieved by comparing the patient’s CoW with datasets of risk groups or with a dataset of a healthy population. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 909, "image_height": 804, "name": "Gadllah_Hani_2016-image.png", "type": "image/png", "size": 120201, "path": "Publication:Gadllah_Hani_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Gadllah_Hani_2016/Gadllah_Hani_2016-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Gadllah_Hani_2016/Gadllah_Hani_2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1356 ], "date_end": "2016-06", "date_start": "2016-02", "matrikelnr": "1128636", "supervisor": [ 166 ], "research_areas": [ "InfoVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 909, "preview_image_height": 804, "name": "Gadllah_Hani_2016-Bachelor Thesis.pdf", "type": "application/pdf", "size": 1537208, "path": "Publication:Gadllah_Hani_2016", "preview_name": "Gadllah_Hani_2016-Bachelor Thesis:preview.png", "preview_type": "image/png", "preview_size": 120201, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Gadllah_Hani_2016/Gadllah_Hani_2016-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Gadllah_Hani_2016/Gadllah_Hani_2016-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 909, "image_height": 804, "name": "Gadllah_Hani_2016-image.png", "type": "image/png", "size": 120201, "path": "Publication:Gadllah_Hani_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Gadllah_Hani_2016/Gadllah_Hani_2016-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Gadllah_Hani_2016/Gadllah_Hani_2016-image:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Gadllah_Hani_2016/", "__class": "Publication" }, { "id": "karimov-2016-GIVE", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Guided Interactive Volume Editing in Medicine", "date": "2016-06", "abstract": "Various medical imaging techniques, such as Computed Tomography, Magnetic Resonance Imaging, Ultrasonic Imaging, are now gold standards in the diagnosis of different diseases.\nThe diagnostic process can be greatly improved with the aid of automatic and interactive analysis tools, which, however, require certain prerequisites in order to operate.\nSuch analysis tools can, for example, be used for pathology assessment, various standardized measurements, treatment and operation planning.\nOne of the major requirements of such tools is the segmentation mask of an object-of-interest.\nHowever, the segmentation of medical data remains subject to errors and mistakes.\nOften, physicians have to manually inspect and correct the segmentation results, as (semi-)automatic techniques do not immediately satisfy the required quality.\nTo this end, interactive segmentation editing is an integral part of medical image processing and visualization.\n\nIn this thesis, we present three advanced segmentation-editing techniques.\nThey are focused on simple interaction operations that allow the user to edit segmentation masks quickly and effectively.\nThese operations are based on a topology-aware representation that captures structural features of the segmentation mask of the object-of-interest.\n\nFirstly, in order to streamline the correction process, we classify segmentation defects according to underlying structural features and propose a correction procedure for each type of defect.\nThis alleviates users from manually applying the proper editing operations, but the segmentation defects still have to be located by users.\n\nSecondly, we extend the basic editing process by detecting regions that potentially contain defects.\nWith subsequently suggested correction scenarios, users are hereby immediately able to correct a specific defect, instead of manually searching for defects beforehand.\nFor each suggested correction scenario, we automatically determine the corresponding region of the respective defect in the segmentation mask and propose a suitable correction operation.\nIn order to create the correction scenarios, we detect dissimilarities within the data values of the mask and then classify them according to the characteristics of a certain type of defect.\nPotential findings are presented with a glyph-based visualization that facilitates users to interactively explore the suggested correction scenarios on different levels-of-detail.\nAs a consequence, our approach even offers users the possibility to fine-tune the chosen correction scenario instead of directly manipulating the segmentation mask, which is a time-consuming and cumbersome task.\n\nThird and finally, we guide users through the multitude of suggested correction scenarios of the entire correction process.\nAfter statistically evaluating all suggested correction scenarios, we rank them according to their significance of dissimilarities, offering fine-grained editing capabilities at a user-specified level-of-detail.\nAs we visually convey this ranking in a radial layout, users can easily spot and select the most (or the least) dissimilar correction scenario, which improves the segmentation mask mostly towards the desired result.\n\nAll techniques proposed within this thesis have been evaluated by collaborating radiologists.\nWe assessed the usability, interaction aspects, the accuracy of the results and the expenditure of time of the entire correction process.\nThe outcome of the assessment showed that our guided volume editing not only leads to acceptable segmentation results with only a few interaction steps, but also is applicable to various application scenarios.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Image", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 925, "image_height": 342, "name": "karimov-2016-GIVE-Image.png", "type": "image/png", "size": 301144, "path": "Publication:karimov-2016-GIVE", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-GIVE/karimov-2016-GIVE-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-GIVE/karimov-2016-GIVE-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 925 ], "date_end": "2016-06", "date_start": "2012-03", "reviewer_1": [ 161 ], "reviewer_2": [ 563 ], "rigorosum": "2016-06-28", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "Abstract", "filetitle": "Abstract", "main_file": true, "use_in_gallery": false, "access": "public", "name": "karimov-2016-GIVE-Abstract.pdf", "type": "application/csv", "size": 60623, "path": "Publication:karimov-2016-GIVE", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-GIVE/karimov-2016-GIVE-Abstract.pdf", "thumb_image_sizes": [] }, { "description": "Image", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 925, "image_height": 342, "name": "karimov-2016-GIVE-Image.png", "type": "image/png", "size": 301144, "path": "Publication:karimov-2016-GIVE", "url": 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To identify patterns of cracks, which endanger the structural integrity of its concrete surface, analysts need an integrated solution for visual analysis of geometric and multivariate data to decide if issuing a repair project is necessary. The primary contribution of this work is a design study, supporting tunnel crack analysis by tightly integrating geometric and attribute views to allow users a holistic visual analysis of geometric representations and multivariate attributes. Our secondary contribution is Visual Analytics and Rendering, a methodological approach which addresses challenges and recurring design questions in integrated systems. We evaluated the tunnel crack analysis solution in informal feedback sessions with experts from tunnel maintenance and surveying. We substantiated the derived methodology by providing guidelines and linking it to examples from the literature.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 750, "image_height": 340, "name": "ortner-2016-tunnel-teaser.gif", "type": "image/gif", "size": 97212, "path": "Publication:ortner-2016-tunnel", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-tunnel/ortner-2016-tunnel-teaser.gif", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-tunnel/ortner-2016-tunnel-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1277, 1072, 451, 205, 166 ], "event": "Computer Graphics International (CGI)", "journal": "The Visual Computer", "number": "6", "pages_from": "859", "pages_to": "869", "volume": "32", "research_areas": [ "InfoVis" ], "keywords": [ "Integration of spatial and non-spatial data", "Methodology", "Visual analytics" ], "weblinks": [ { "href": "http://link.springer.com/article/10.1007/s00371-016-1257-5", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 750, "image_height": 340, "name": "ortner-2016-tunnel-teaser.gif", "type": "image/gif", "size": 97212, "path": "Publication:ortner-2016-tunnel", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-tunnel/ortner-2016-tunnel-teaser.gif", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-tunnel/ortner-2016-tunnel-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-tunnel/", "__class": "Publication" }, { "id": "mindek-2016-utah-talk", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "Multi-Scale Molecular Data Visualization", "date": "2016-05-03", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Teaser 1", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 859, "image_height": 382, "name": "mindek-2016-utah-talk-Teaser 1.png", "type": "image/png", "size": 109219, "path": "Publication:mindek-2016-utah-talk", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Teaser 1.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Teaser 1:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935 ], "date_from": "2016-05-02", "date_to": "2016-05-03", "event": "QCB Workshop on Visualizing & Modeling Cell Biology", "lecturer": [ 935 ], "location": "Salt Lake City, Utah, USA", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "molecular visualization", "multiscale" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-2016-utah-talk-Slides.pptx", "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation", "size": 538745965, "path": "Publication:mindek-2016-utah-talk", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Slides.pptx", "thumb_image_sizes": [] }, { "description": null, "filetitle": "Teaser 1", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 859, "image_height": 382, "name": "mindek-2016-utah-talk-Teaser 1.png", "type": "image/png", "size": 109219, "path": "Publication:mindek-2016-utah-talk", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Teaser 1.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Teaser 1:thumb{{size}}.png" }, { "description": null, "filetitle": "Teaser 2", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 500, "image_height": 332, "name": "mindek-2016-utah-talk-Teaser 2.png", "type": "image/png", "size": 191960, "path": "Publication:mindek-2016-utah-talk", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Teaser 2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Teaser 2:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/", "__class": "Publication" }, { "id": "Groeller_2016_I3", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Understanding Data through Visual Exploration", "date": "2016-05", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "event": "Keynote talk at Visionday 2016, Danmarks Tekniske Universitet (DTU Compute)", "location": "Keynote talk at Visionday 2016, Danmarks Tekniske Universitet (DTU Compute)", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_I3/", "__class": "Publication" }, { "id": "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": "ilcik-2016-cescg", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "20 Years of the Central European Seminar on Computer Graphics", "date": "2016-05", "abstract": "The Central European Seminar on Computer Graphics is an annual scientific seminar for undergraduate students of computer graphics, vision and visual computing. Its main mission is to promote graphics research and to motivate students to pursue academic careers. An international committee of experts guides their research work for several months. At the end, students present their results at a three days seminar to an audience of approx. 100 students and professors. All attendants actively participate in discussions and workshops focused on academic skills and career planing for young researchers. Interactive sessions on innovation help them to identify the value of their ideas and motivate them to continue in their work.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "CESCG", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 3935, "image_height": 3090, "name": "ilcik-2016-cescg-CESCG.jpg", "type": "image/jpeg", "size": 2192956, "path": "Publication:ilcik-2016-cescg", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cescg/ilcik-2016-cescg-CESCG.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cescg/ilcik-2016-cescg-CESCG:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1303, 1256, 583, 193 ], "booktitle": "Eurographics 2016 Education Papers", "date_from": "2016-05-09", "date_to": "2016-05-13", "editor": "Beatriz Sousa Santos and Jean-Michel Dischler", "issn": "1017-4656", "lecturer": [ 1303 ], "location": "Lisbon", "pages_from": "25", "pages_to": "30", "publisher": "The Eurographics Association", "research_areas": [], "keywords": [ "Promotion of undergraduate research", "Student seminar" ], "weblinks": [], "files": [ { "description": null, "filetitle": "CESCG", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 3935, "image_height": 3090, "name": "ilcik-2016-cescg-CESCG.jpg", "type": "image/jpeg", "size": 2192956, "path": "Publication:ilcik-2016-cescg", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cescg/ilcik-2016-cescg-CESCG.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cescg/ilcik-2016-cescg-CESCG:thumb{{size}}.png" }, { "description": null, "filetitle": "preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ilcik-2016-cescg-preprint.pdf", "type": "application/pdf", "size": 7529226, "path": "Publication:ilcik-2016-cescg", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cescg/ilcik-2016-cescg-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cescg/ilcik-2016-cescg-preprint:thumb{{size}}.png" } ], "projects_workgroups": [ "abteilung" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cescg/", "__class": "Publication" }, { "id": "Langer_Maximillian_DMV", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Dynamic Multiscale Vector Volumes", "date": "2016-04-18", "abstract": "Dynamic multiscale vector volumes is a solid representation based on signed distance functions to represent object boundaries. Multiscale vector volumes utilize a binary tree and an embedding mechanism to represent structures on different scales in a compact and efficient way. By extending the representation with an analytical formulation to partly replace signed distance functions, an efficient local animation of boundaries can be achieved. The representation uses a markup language for object definition that allows\nthe user to create their own objects. The concept of dynamic multiscale vector volumes is implemented and tested in the Unity3D editor. The complete rendering is done on the graphics card.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1268 ], "matrikelnr": "1226991", "supervisor": [ 171 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Langer_Maximillian_DMV-Thesis.pdf", "type": "application/pdf", "size": 1815008, "path": "Publication:Langer_Maximillian_DMV", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Langer_Maximillian_DMV/Langer_Maximillian_DMV-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Langer_Maximillian_DMV/Langer_Maximillian_DMV-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Langer_Maximillian_DMV/", "__class": "Publication" }, { "id": "schoerkhuber_dominik-2016-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Fast KNN in Screenspace on GPGPU", "date": "2016-04-18", "abstract": "Virtualization of realworld objects and scenes became very popular in recent years due to af-\nfordable laser-scanning technology. Nowadays it’s not only possible to capture static frames\nbut also realtime frame sequences. Rendering of those captures is difficult because visually ap-\npealing renderings involve the computation of local surface reconstruction from pointclouds and\ntherefore a lot of preprocessing. This is usually not possible in realtime.\nOne important processing step is the computation of nearest neighbours for each 3d-point.\nThe neighbourhood information is not only used for normal reconstruction and local surface\nestimation, but can also be utilized for collision detection.\nIn this paper we present a method for computing the k-nearest-neighbor sets for pointclouds\nin realtime. To achieve high frame rates we parallelize the algorithm on the GPU, using the\nNvidia CUDA parallel computation framework. Furthermore computations are limited to op-\nerate in screen-space, to reduce computational complexity even further, and effectively prevent\nrendering invisible geometry. We also utilize the invented FastKnn algorithm to estimate local\nsurface reconstruction for splat rendering of pointclouds in realtime and show how it compares\nto a state of the art algorithm.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Representative image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 759, "image_height": 784, "name": "schoerkhuber_dominik-2016-baa-image.jpg", "type": "image/jpeg", "size": 48267, "path": "Publication:schoerkhuber_dominik-2016-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schoerkhuber_dominik-2016-baa/schoerkhuber_dominik-2016-baa-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/schoerkhuber_dominik-2016-baa/schoerkhuber_dominik-2016-baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1180 ], "co_supervisor": [ 948 ], "date_end": "2014-06-30", "date_start": "2014-03-05", "duration": "6 months", "matrikelnr": "e1027470", "supervisor": [ 948 ], "research_areas": [], "keywords": [ "cuda", "gpu", "nearest neighbor search", "knn", "screen space" ], "weblinks": [ { "href": "https://svn.cg.tuwien.ac.at/data/svn/fastknn/", "caption": "SVN repository", "description": null, "main_file": 0 } ], "files": [ { "description": "Representative image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 759, "image_height": 784, "name": "schoerkhuber_dominik-2016-baa-image.jpg", "type": "image/jpeg", "size": 48267, "path": "Publication:schoerkhuber_dominik-2016-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schoerkhuber_dominik-2016-baa/schoerkhuber_dominik-2016-baa-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/schoerkhuber_dominik-2016-baa/schoerkhuber_dominik-2016-baa-image:thumb{{size}}.png" }, { "description": "Bachelor thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "schoerkhuber_dominik-2016-baa-thesis.pdf", "type": "application/pdf", "size": 9690734, "path": "Publication:schoerkhuber_dominik-2016-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schoerkhuber_dominik-2016-baa/schoerkhuber_dominik-2016-baa-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/schoerkhuber_dominik-2016-baa/schoerkhuber_dominik-2016-baa-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schoerkhuber_dominik-2016-baa/", "__class": "Publication" }, { "id": "klein-2016-WCL", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Towards Interactive Visual Exploration of Parallel Programs using a Domain-Specific Language", "date": "2016-04", "abstract": "The use of GPUs and the massively parallel computing paradigm have become wide-spread. We describe a framework for the interactive visualization and visual analysis of the run-time behavior of massively parallel programs, especially OpenCL kernels. This facilitates understanding a program's function and structure, finding the causes of possible slowdowns, locating program bugs, and interactively exploring and visually comparing different code variants in order to improve performance and correctness. Our approach enables very specific, user-centered analysis, both in terms of the recording of the run-time behavior and the visualization itself. Instead of having to manually write instrumented code to record data, simple code annotations tell the source-to-source compiler which code instrumentation to generate automatically. The visualization part of our framework then enables the interactive analysis of kernel run-time behavior in a way that can be very specific to a particular problem or optimization goal, such as analyzing the causes of memory bank conflicts or understanding an entire parallel algorithm.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1285, "image_height": 369, "name": "klein-2016-WCL-image.png", "type": "image/png", "size": 297574, "path": "Publication:klein-2016-WCL", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1285, 161, 166, 226, 488 ], "event": "4th International Workshop on OpenCL (IWOCL '16)", "location": "Vienna, Austria", "publisher": "ACM", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "extended_abstract", "main_file": false, "use_in_gallery": false, "access": "public", "name": "klein-2016-WCL-extended_abstract.pdf", "type": "application/pdf", "size": 866287, "path": "Publication:klein-2016-WCL", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-extended_abstract.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-extended_abstract:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1285, "image_height": 369, "name": "klein-2016-WCL-image.png", "type": "image/png", "size": 297574, "path": "Publication:klein-2016-WCL", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "klein-2016-WCL-poster.pdf", "type": "application/pdf", "size": 3606134, "path": "Publication:klein-2016-WCL", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-poster:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/", "__class": "Publication" }, { "id": "Groeller_2016_I2", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Computing and Comparative Visualization", "date": "2016-04", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "event": "Invited Talk", "location": " Czech Technical University, Faculty of Electrical Engineering, Department of Computer Graphics and Interaction", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_I2/", "__class": "Publication" }, { "id": "Groeller_2016_I1", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "The Certainly Uncertain Uncertainty Talk", "date": "2016-04", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "event": "Second Workshop on Uncertainty, Technische Universität München, Informatik 15 (Computer Graphik 6 Visualisierung)", "location": "Second Workshop on Uncertainty, Technische Universität München, Informatik 15 (Computer Graphik 6 Visualisierung)", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_I1/", "__class": "Publication" }, { "id": "karimov-2016-SD", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Statistics-Driven Localization of Dissimilarities in Data", "date": "2016-04", "abstract": "The identification of dissimilar regions in spatial and temporal data is a fundamental part of data exploration.\nThis process takes place in applications, such as biomedical image processing as well as climatic data analysis.\nWe propose a general solution for this task by employing well-founded statistical tools.\nFrom a large set of candidate regions, we derive an empirical distribution of the data and perform statistical hypothesis testing to obtain p-values as measures of dissimilarity.\nHaving p-values, we quantify differences and rank regions on a global scale according to their dissimilarity to user-specified exemplar regions.\nWe demonstrate our approach and its generality with two application scenarios, namely interactive exploration of climatic data and segmentation editing in the medical domain.\nIn both cases our data exploration protocol unifies the interactive data analysis, guiding the user towards regions with the most relevant dissimilarity characteristics.\nThe dissimilarity analysis results are conveyed with a radial tree, which prevents the user from searching exhaustively through all the data.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 700, "image_height": 700, "name": "karimov-2016-SD-image.png", "type": "image/png", "size": 173482, "path": "Publication:karimov-2016-SD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-SD/karimov-2016-SD-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-SD/karimov-2016-SD-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 925, 869, 808, 166 ], "number": "TR-186-2-16-1", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 700, "image_height": 700, "name": "karimov-2016-SD-image.png", "type": "image/png", "size": 173482, "path": "Publication:karimov-2016-SD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-SD/karimov-2016-SD-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-SD/karimov-2016-SD-image:thumb{{size}}.png" }, { "description": "Technical report", "filetitle": "technical report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "karimov-2016-SD-technical report.pdf", "type": "application/csv", "size": 13697916, "path": "Publication:karimov-2016-SD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-SD/karimov-2016-SD-technical report.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-SD/", "__class": "Publication" }, { "id": "Oancea_Stefan_2016_VOT", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Variance Orientation Transform Detection of Early Osteoarthritis in Knee Trabecular Bone", "date": "2016-03-17", "abstract": "Since the fractal properties of the knee trabecular bone were discovered, fractal methods for analyzing bone surface radiographic projections have gained more attention. This is partly due to the fact that radiography is the cheapest imaging technique in routine clinical screening and partly due to the fact that it was shown that the trabecular bones of osteoarthritic patients indicate early deformations, even long before the characteristic join loss occurs. The ultimate goal of such an algorithm would be to differentiate healthy from unhealthy trabecular bone.\n\nThis paper presents a report of our implementation of the Variance Orientation\nTransform (VOT) algorithm, a fractal method, which unlike other similar methods, is able to quantify bone texture in different directions and over different scales of measurement.\n\nIt is based on the idea that a single fractal dimension value is not enough to describe such a complex structure as the trabecular bone and thus, VOT calculates more descriptive fractal dimensions called fractal signatures (FSs).\n\nIn Chapters 1 and 2 we introduce the notion of fractals and the theoretical background behind them and the VOT algorithm. In Chapter 3 similar techniques for analyzing trabecular bone are presented and in Chapter 4 our particular attempt at implementing VOT is described in detail; moreover, in the same Chapter VOT is validated using some artificially generated fractal surfaces and the ability of differentiating healthy and affected bone is also investigated. The last Chapter, Chapter 5, covers further\npossible ideas of improving and testing of the algorithm.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1361 ], "matrikelnr": "1227706", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Oancea_Stefan_2016_VOT-Thesis.pdf", "type": "application/pdf", "size": 5265238, "path": "Publication:Oancea_Stefan_2016_VOT", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Oancea_Stefan_2016_VOT/Oancea_Stefan_2016_VOT-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Oancea_Stefan_2016_VOT/Oancea_Stefan_2016_VOT-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Oancea_Stefan_2016_VOT/", "__class": "Publication" }, { "id": "Kroesl_Katharina_2016_PPT", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Interactive, Progressive Photon Tracing using a Multi-Resolution Image-Filtering Approach", "date": "2016-03", "abstract": "Modern workflows in architectural planning and lighting design require physically reliable lighting simulations for detailed and complex 3D models. Current workflows for luminaire design and lighting design are not tailored to each other. During luminaire design, CAD programs are used to create 3D models of luminaires, and offline rendering tools are used to visualize the light distribution. In lighting design, light concepts are explored by placing light sources - previously created during luminaire design - in a 3D scene using an interactive light-planning software, but it is not possible to modify the light sources themselves. This thesis presents an interactive global-illumination algorithm to simulate the light distribution of a luminaire. The algorithm produces visually pleasing intermediate results at interactive frame rates, before converging to a physically plausible solution that can be imported as a representation of a light source into a light-planning software. We combine an interactive, progressive photon-tracing algorithm with a multi-resolution image-filtering approach. Our algorithm iteratively emits photons into a 3D scene containing the model of a luminaire and progressively refines results. We use mipmaps to create a multi-resolution approach and incorporate image-filtering techniques to obtain visually pleasing intermediate results. Evaluations based on objective quality metrics show that the presented image-filtering approach increases image quality when compared to non-filtered results. The proposed algorithm provides fast previews and allows interactive modifications of the geometry and material properties of the luminaire in real time. This reduces time between modification iterations and therefore turns luminaire design into an interactive process that reduces overall production time.Furthermore, the presented approach integrates luminaire design into lighting design and therefore provides a new way to combine two former decoupled workflows.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1283, "image_height": 1107, "name": "Kroesl_Katharina_2016_PPT-image.png", "type": "image/png", "size": 585959, "path": "Publication:Kroesl_Katharina_2016_PPT", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kroesl_Katharina_2016_PPT/Kroesl_Katharina_2016_PPT-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kroesl_Katharina_2016_PPT/Kroesl_Katharina_2016_PPT-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1030 ], "supervisor": [ 193, 659 ], "research_areas": [], "keywords": [ "photon tracing", "luminaire design", "lighting design" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1283, "image_height": 1107, "name": "Kroesl_Katharina_2016_PPT-image.png", "type": "image/png", "size": 585959, "path": "Publication:Kroesl_Katharina_2016_PPT", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kroesl_Katharina_2016_PPT/Kroesl_Katharina_2016_PPT-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kroesl_Katharina_2016_PPT/Kroesl_Katharina_2016_PPT-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Kroesl_Katharina_2016_PPT-poster.pdf", "type": "application/force-download", "size": 2975771, "path": "Publication:Kroesl_Katharina_2016_PPT", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kroesl_Katharina_2016_PPT/Kroesl_Katharina_2016_PPT-poster.pdf", "thumb_image_sizes": [] }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Kroesl_Katharina_2016_PPT-thesis.pdf", "type": "application/force-download", "size": 20637346, "path": "Publication:Kroesl_Katharina_2016_PPT", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kroesl_Katharina_2016_PPT/Kroesl_Katharina_2016_PPT-thesis.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kroesl_Katharina_2016_PPT/", "__class": "Publication" }, { "id": "prieler_daniel-2013-da", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Real-time Meshing for Noisy Points", "date": "2016-02-29", "abstract": "The increasing availability of 3D scanning devices in both industrial and entertainment\nenvironments (e.g., Microsoft Kinect) creates a demand for fast and reliable resampling\nand reconstruction techniques. Point clouds, especially raw range images, are often\nnon-uniformly sampled and subject to non-uniform noise levels. Current state-of-the-art\ntechniques often require user-provided parameters that estimate the noise level of the\npoint cloud. This produces sub-optimal results for point sets with varying noise extent.\nWe propose an isotropically fair neighborhood definition which is specifically designed\nto address non-uniformly sampled point clouds. Our iterative point cloud resampling\nmethod estimates and adapts to the local noise level at each sample. This increases\nthe reconstruction quality for point clouds with high noise levels while being completely\nparameter free. The data structures built during the resampling process are reused to\nspeed up the process of creating a consistent normal orientation. Evaluation of the re-\nsampling quality shows that our technique outperforms current state-of-the-art methods\nfor varying noise levels and non-uniform sampling. Both the resampling algorithm and\nthe subsequent consistent normal orientation operate locally and can be implemented\nefficiently in parallel. Our GPU sphere regression implementation outperforms the stan-\ndard sequential procedure by a factor of 20.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Local orienting of normals", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1781, "image_height": 989, "name": "prieler_daniel-2013-da-image.jpg", "type": "image/jpeg", "size": 91841, "path": "Publication:prieler_daniel-2013-da", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prieler_daniel-2013-da/prieler_daniel-2013-da-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/prieler_daniel-2013-da/prieler_daniel-2013-da-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 944 ], "date_end": "2014-08-12", "date_start": "2013-08-13", "matrikelnr": "0726319", "supervisor": [ 948 ], "research_areas": [], "keywords": [ "surface fitting", "surface reconstruction", "noise", "meshing", "real-time", "CUDA" ], "weblinks": [], "files": [ { "description": "Local orienting of normals", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1781, "image_height": 989, "name": "prieler_daniel-2013-da-image.jpg", "type": "image/jpeg", "size": 91841, "path": "Publication:prieler_daniel-2013-da", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prieler_daniel-2013-da/prieler_daniel-2013-da-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/prieler_daniel-2013-da/prieler_daniel-2013-da-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "prieler_daniel-2013-da-poster.pdf", "type": "binary/octet-stream", "size": 4917960, "path": "Publication:prieler_daniel-2013-da", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prieler_daniel-2013-da/prieler_daniel-2013-da-poster.pdf", "thumb_image_sizes": [] }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "prieler_daniel-2013-da-thesis.pdf", "type": "binary/octet-stream", "size": 14706877, "path": "Publication:prieler_daniel-2013-da", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prieler_daniel-2013-da/prieler_daniel-2013-da-thesis.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prieler_daniel-2013-da/", "__class": "Publication" }, { "id": "arikan-2015-dmrt", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Multi-Depth-Map Raytracing for Efficient Large-Scene Reconstruction", "date": "2016-02", "abstract": "With the enormous advances of the acquisition technology over the last years, fast processing and high-quality\nvisualization of large point clouds have gained increasing attention. Commonly, a mesh surface is reconstructed from the point\ncloud and a high-resolution texture is generated over the mesh from the images taken at the site to represent surface materials. However, this global reconstruction and texturing approach becomes impractical with increasing data sizes. Recently, due to its\npotential for scalability and extensibility, a method for texturing a set of depth maps in a preprocessing and stitching them at runtime has been proposed to represent large scenes. However, the rendering performance of this method is strongly dependent on the number of depth maps and their resolution. Moreover, for the proposed scene representation, every single depth map has to be textured by the images, which in practice heavily increases processing costs. In this paper, we present a novel method\nto break these dependencies by introducing an efficient raytracing of multiple depth maps. In a preprocessing phase, we first generate high-resolution textured depth maps by rendering the input points from image cameras and then perform a graph-cut\nbased optimization to assign a small subset of these points to the images. At runtime, we use the resulting point-to-image assignments (1) to identify for each view ray which depth map contains the closest ray-surface intersection and (2) to efficiently\ncompute this intersection point. The resulting algorithm accelerates both the texturing and the rendering of the depth maps by an order of magnitude.", "authors_et_al": false, "substitute": null, "main_image": { "description": "teaser image", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 2855, "image_height": 1392, "name": "arikan-2015-dmrt-image.jpg", "type": "image/jpeg", "size": 2864240, "path": "Publication:arikan-2015-dmrt", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 865, 799, 193 ], "doi": "10.1109/TVCG.2015.2430333", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization & Computer Graphics", "number": "2", "pages_from": "1127", "pages_to": "1137", "volume": "22", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [ { "href": "http://http://dx.doi.org/10.1109/TVCG.2015.2430333", "caption": "doi", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "arikan-2015-dmrt-draft.pdf", "type": "application/pdf", "size": 1697346, "path": "Publication:arikan-2015-dmrt", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-draft:thumb{{size}}.png" }, { "description": "teaser image", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 2855, "image_height": 1392, "name": "arikan-2015-dmrt-image.jpg", "type": "image/jpeg", "size": 2864240, "path": "Publication:arikan-2015-dmrt", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-image:thumb{{size}}.png" }, { "description": "[45MB]", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "arikan-2015-dmrt-video.mp4", "type": "video/mp4", "size": 47571465, "path": "Publication:arikan-2015-dmrt", "preview_name": "arikan-2015-dmrt-video:preview.png", "preview_type": "image/jpeg", "preview_size": 91344, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-video:video.mp4" } ], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/", "__class": "Publication" }, { "id": "ortner-2016-visaware", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Vis-a-ware: Integrating spatial and non-spatial visualization for visibility-aware urban planning", "date": "2016-01-22", "abstract": "3D visibility analysis plays a key role in urban planning for assessing the visual impact of proposed buildings on the cityscape. A call for proposals typically yields around 30 candidate buildings that need to be evaluated with respect to selected viewpoints. Current visibility analysis methods are very time-consuming and limited to a small number of viewpoints. Further, analysts neither have measures to evaluate candidates quantitatively, nor to compare them efficiently. The primary contribution of this work is the design study of Vis-A-Ware, a visualization system to qualitatively and quantitatively evaluate, rank, and compare visibility data of candidate buildings with respect to a large number of viewpoints. Vis-A-Ware features a 3D spatial view of an urban scene and non-spatial views of data derived from visibility evaluations, which are tightly integrated by linked interaction. To enable a quantitative evaluation we developed four metrics in accordance with experts from urban planning. We illustrate the applicability of Vis-A-Ware on the basis of a use case scenario and present results from informal feedback sessions with domain experts from urban planning and development. This feedback suggests that Vis-A-Ware is a valuable tool for visibility analysis allowing analysts to answer complex questions more efficiently and objectively.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1552, "image_height": 900, "name": "ortner-2016-visaware-teaser.png", "type": "image/png", "size": 348718, "path": "Publication:ortner-2016-visaware", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-visaware/ortner-2016-visaware-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-visaware/ortner-2016-visaware-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1277, 1072, 1387, 205, 451, 166 ], "issn": "1077-2626 ", "journal": "Visualization and Computer Graphics, IEEE Transactions on", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "http://ieeexplore.ieee.org/document/7390069/?arnumber=7390069", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1552, "image_height": 900, "name": "ortner-2016-visaware-teaser.png", "type": "image/png", "size": 348718, "path": "Publication:ortner-2016-visaware", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-visaware/ortner-2016-visaware-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-visaware/ortner-2016-visaware-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-visaware/", "__class": "Publication" }, { "id": "Viola_Ivan_2015_AAM", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "AnimoAminoMiner: Exploration of Protein Tunnels and their Properties in Molecular Dynamics", "date": "2016-01", "abstract": "In this paper we propose a novel method for the interactive exploration of protein tunnels. The basic principle of our approach is that we entirely abstract from the 3D/4D space the simulated phenomenon is embedded in. A complex 3D structure and its curvature information is represented only by a straightened tunnel centerline and its width profile. This representation focuses on a key aspect of the studied geometry and frees up graphical estate to key chemical and physical properties represented by surrounding amino acids. The method shows the detailed tunnel profile and its temporal aggregation. The profile is interactively linked with a visual overview of all amino acids which are lining the tunnel over time. In this overview, each amino acid is represented by a set of colored lines depicting the spatial and temporal impact of the amino acid on the corresponding tunnel. This representation clearly shows the importance of amino acids with respect to selected criteria. It helps the biochemists to select the candidate amino acids for mutation which changes the protein function in a desired way. The AnimoAminoMiner was designed in close cooperation with domain experts. Its usefulness is documented by their feedback and a case study, which are included.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1576, "image_height": 609, "name": "Viola_Ivan_2015_AAM-Image.jpg", "type": "image/jpeg", "size": 111989, "path": "Publication:Viola_Ivan_2015_AAM", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/Viola_Ivan_2015_AAM-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/Viola_Ivan_2015_AAM-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1254, 1189, 166, 171, 1248 ], "date_from": "2015-10-25", "date_to": "2015-10-30", "event": "IEEE Vis 2015", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1254 ], "location": "Illinois, Chicago, USA", "number": "1", "pages_from": "747", "pages_to": "756", "volume": "22", "research_areas": [ "BioVis" ], "keywords": [ "aggregation", "molecular dynamics", "Protein", "interaction", "tunnel" ], "weblinks": [ { "href": "http://dx.doi.org/10.1109/TVCG.2015.2467434", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1576, "image_height": 609, "name": "Viola_Ivan_2015_AAM-Image.jpg", "type": "image/jpeg", "size": 111989, "path": "Publication:Viola_Ivan_2015_AAM", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/Viola_Ivan_2015_AAM-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/Viola_Ivan_2015_AAM-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_2015_AAM-Paper.pdf", "type": "application/pdf", "size": 1114453, "path": "Publication:Viola_Ivan_2015_AAM", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/Viola_Ivan_2015_AAM-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/Viola_Ivan_2015_AAM-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/", "__class": "Publication" }, { "id": "sorger-2015-litevis", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "LiteVis: Integrated Visualization for Simulation-Based Decision Support in Lighting Design", "date": "2016-01", "abstract": "State-of-the-art lighting design is based on physically accurate lighting simulations of scenes such as offices. The simulation results support lighting designers in the creation of lighting configurations, which must meet contradicting customer objectives regarding quality and price while conforming to industry standards. However, current tools for lighting design impede rapid feedback cycles. On the one side, they decouple analysis and simulation specification. On the other side, they lack capabilities for a detailed comparison of multiple configurations. The primary contribution of this paper is a design study of LiteVis, a system for efficient decision support in lighting design. LiteVis tightly integrates global illumination-based lighting simulation, a spatial representation of the scene, and non-spatial visualizations of parameters and result indicators. This enables an efficient iterative cycle of simulation parametrization and analysis. Specifically, a novel visualization supports decision making by ranking simulated lighting configurations with regard to a weight-based prioritization of objectives that considers both spatial and non-spatial characteristics. In the spatial domain, novel concepts support a detailed comparison of illumination scenarios. We demonstrate LiteVis using a real-world use case and report qualitative feedback of lighting designers. This feedback indicates that LiteVis successfully supports lighting designers to achieve key tasks more efficiently and with greater certainty.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "thumb", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1860, "image_height": 1516, "name": "sorger-2015-litevis-thumb.png", "type": "image/png", "size": 253297, "path": "Publication:sorger-2015-litevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-thumb.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-thumb:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1072, 1277, 659, 678, 166, 451 ], "event": "IEEE Vis", "issn": "1077-2626 ", "journal": "Visualization and Computer Graphics, IEEE Transactions on", "lecturer": [ 1072 ], "location": "Chicago", "number": "1", "pages_from": "290", "pages_to": "299", "volume": "22", "research_areas": [ "InfoVis", "Rendering" ], "keywords": [ "Integrating Spatial and Non-Spatial Data" ], "weblinks": [ { "href": "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7192703&tag=1", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "30sec preview", "main_file": false, "use_in_gallery": true, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "sorger-2015-litevis-30sec preview.mp4", "type": "video/mp4", "size": 20482898, "path": "Publication:sorger-2015-litevis", "preview_name": "sorger-2015-litevis-30sec preview:preview.png", "preview_type": "image/jpeg", "preview_size": 77105, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-30sec preview.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-30sec preview:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-30sec preview:video.mp4" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "sorger-2015-litevis-paper.pdf", "type": "application/pdf", "size": 14633562, "path": "Publication:sorger-2015-litevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-paper:thumb{{size}}.png" }, { "description": "two components of the LiteVis interface, left: the Simulation View, right: ranking of lighting solutions in the Analysis View", "filetitle": "teaser", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2934, "image_height": 1048, "name": "sorger-2015-litevis-teaser.png", "type": "image/png", "size": 367321, "path": "Publication:sorger-2015-litevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thumb", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1860, "image_height": 1516, "name": "sorger-2015-litevis-thumb.png", "type": "image/png", "size": 253297, "path": "Publication:sorger-2015-litevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-thumb.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-thumb:thumb{{size}}.png" }, { "description": null, "filetitle": "video demonstration", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1120, "preview_image_height": 630, "name": "sorger-2015-litevis-video demonstration.mp4", "type": "video/mp4", "size": 58980955, "path": "Publication:sorger-2015-litevis", "preview_name": "sorger-2015-litevis-video demonstration:preview.png", "preview_type": "image/jpeg", "preview_size": 52277, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-video demonstration.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-video demonstration:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-video demonstration:video.mp4" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/", "__class": "Publication" }, { "id": "Labschuetz_Matthias_2016_AHD", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "An Adaptive, Hybrid Data Structure for Sparse Volume Data on the GPU", "date": "2016-01", "abstract": "Dealing with large, sparse, volume data on the GPU is a necessity in many applications such as volume rendering, processing or simulation. The limited memory budget of modern GPUs restricts users from uploading large volume data-sets entirely. Fortunately, sparse data, i.e., data containing large empty regions, can be represented more efficiently compared to a common dense array. Our approach makes it possible to upload a full data set even if the original volume does not fit on the GPU.\r\n\r\nIn previous work, a variety of sparse data structures have been utilized on the GPU, each with different properties. Tree representations, such as the octree, kd tree or N3 tree, provide a hierarchical solution for data sets of relatively low sparsity. For data sets of medium sparsity,\r\nspatial hashing makes more efficient access and storage possible. Extremely sparse data can be efficiently represented and accessed via binary search in sorted voxel lists.\r\n\r\nOur observation is, that data sets often contain regions of different sparsity. Depending on the sparsity of a region, a specific data structure (e.g., an octree, a voxel list) requires the least memory to store the data. We formulate an algorithm that is able to automatically find this\r\nmemory-optimal representation. By using such a combination of different data structures, we achieve an even better representation than any single data structure for real world data sets. We\r\ncall such a data structure a hybrid data structure.\r\n\r\nAny sparse data structure introduces an access overhead. For example, the access to an octree requires one additional indirection per height level of the tree. A voxel list has to be\r\nsearched to retrieve a specific element. By using a hybrid data structure, we also introduce an\r\naccess overhead on top of the overhead that comes from using a sparse data structure. In our work we introduce JiTTree, which utilizes a data aware just-in-time compilation step to improve\r\nthe access performance of our hybrid data structure.\r\n\r\nWe show that the implementation of our hybrid data structure effectively reduces the memory\r\nrequirement of sparse data sets. JiTTree can improve the performance of hybrid bricking for\r\ncertain access patterns such as stencil accesses.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1027, "image_height": 853, "name": "Labschuetz_Matthias_2016_AHD-Image.png", "type": "image/png", "size": 418864, "path": "Publication:Labschuetz_Matthias_2016_AHD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/Labschuetz_Matthias_2016_AHD-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/Labschuetz_Matthias_2016_AHD-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 840 ], "supervisor": [ 166, 488 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1027, "image_height": 853, "name": "Labschuetz_Matthias_2016_AHD-Image.png", "type": "image/png", "size": 418864, "path": "Publication:Labschuetz_Matthias_2016_AHD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/Labschuetz_Matthias_2016_AHD-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/Labschuetz_Matthias_2016_AHD-Image:thumb{{size}}.png" }, { "description": "", "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Labschuetz_Matthias_2016_AHD-Poster.pdf", "type": "application/pdf", "size": 1521142, "path": "Publication:Labschuetz_Matthias_2016_AHD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/Labschuetz_Matthias_2016_AHD-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/Labschuetz_Matthias_2016_AHD-Poster:thumb{{size}}.png" }, { "description": "", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Labschuetz_Matthias_2016_AHD-Thesis.pdf", "type": "application/pdf", "size": 15886933, "path": "Publication:Labschuetz_Matthias_2016_AHD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/Labschuetz_Matthias_2016_AHD-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/Labschuetz_Matthias_2016_AHD-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/", "__class": "Publication" }, { "id": "Labschuetz_Matthias_2016_JITT", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "JiTTree: A Just-in-Time Compiled Sparse GPU Volume Data Structure", "date": "2016-01", "abstract": "Sparse volume data structures enable the efficient representation of large but sparse volumes in GPU memory for computation\r\nand visualization. However, the choice of a specific data structure for a given data set depends on several factors, such as\r\nthe memory budget, the sparsity of the data, and data access patterns. In general, there is no single optimal sparse data structure,\r\nbut a set of several candidates with individual strengths and drawbacks. One solution to this problem are hybrid data structures which\r\nlocally adapt themselves to the sparsity. However, they typically suffer from increased traversal overhead which limits their utility in\r\nmany applications. This paper presents JiTTree, a novel sparse hybrid volume data structure that uses just-in-time compilation to\r\novercome these problems. By combining multiple sparse data structures and reducing traversal overhead we leverage their individual\r\nadvantages. We demonstrate that hybrid data structures adapt well to a large range of data sets. They are especially superior to\r\nother sparse data structures for data sets that locally vary in sparsity. Possible optimization criteria are memory, performance and\r\na combination thereof. Through just-in-time (JIT) compilation, JiTTree reduces the traversal overhead of the resulting optimal data\r\nstructure. As a result, our hybrid volume data structure enables efficient computations on the GPU, while being superior in terms of\r\nmemory usage when compared to non-hybrid data structures.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 840, 161, 166, 226, 488 ], "date_from": "2015-10-25", "date_to": "2015-10-30", "event": "IEEE SciVis 2015", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 840 ], "location": "Chicago, IL, USA", "note": "Published in January 2016", "number": "1", "pages_from": "1025", "pages_to": "1034", "volume": "22", "research_areas": [], "keywords": [], "weblinks": [ { "href": "http://dx.doi.org/10.1109/TVCG.2015.2467331", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_JITT/", "__class": "Publication" }, { "id": "Waldin_Nicholas_2016_Individualization", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Individualization of 2D Color Maps for People with Color Vision Deficiencies", "date": "2016", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Waldin_Nicholas_2016_Individualization-.pdf", "type": "application/pdf", "size": 3812707, "path": "Publication:Waldin_Nicholas_2016_Individualization", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/Waldin_Nicholas_2016_Individualization-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/Waldin_Nicholas_2016_Individualization-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1461, 660, 488, 171 ], "booktitle": "Proceedings of the 32Nd Spring Conference on Computer Graphics", "date_from": "2016", "date_to": "2016", "lecturer": [ 1339 ], "location": "Slomenice, Slovakia", "research_areas": [ "Perception" ], "keywords": [], "weblinks": [ { "href": "http://dl.acm.org/citation.cfm?id=2948643", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Waldin_Nicholas_2016_Individualization-.pdf", "type": "application/pdf", "size": 3812707, "path": "Publication:Waldin_Nicholas_2016_Individualization", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/Waldin_Nicholas_2016_Individualization-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/Waldin_Nicholas_2016_Individualization-:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/", "__class": "Publication" }, { "id": "Waldin_Nicholas_2016_Colormaps", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Personalized 2D color maps", "date": "2016", "abstract": "2D color maps are often used to visually encode complex data characteristics such as heat or height. The comprehension of color maps in visualization is affected by the display (e.g., a monitor) and the perceptual abilities of the viewer. In this paper we present a novel method to measure a user׳s ability to distinguish colors of a two-dimensional color map on a given monitor. We show how to adapt the color map to the user and display to optimally compensate for the measured deficiencies. Furthermore, we improve user acceptance of the calibration procedure by transforming the calibration into a game. The user has to sort colors along a line in a 3D color space in a competitive fashion. The errors the user makes in sorting these lines are used to adapt the color map to his perceptual capabilities.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1461, 660, 171 ], "date_from": "2016-10", "issn": "0097-8493", "journal": "Computers & Graphics", "pages_from": "143", "pages_to": "150", "volume": "59", "research_areas": [ "IllVis", "Perception" ], "keywords": [ "Color; Perception", "Perception", "Color vision deficiency" ], "weblinks": [ { "href": "http://www.sciencedirect.com/science/article/pii/S0097849316300772", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Colormaps/", "__class": "Publication" }, { "id": "Waldin_Nicholas_2016_Chameleon", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Chameleon Dynamic Color Mapping for Multi-Scale Structural Biology Models", "date": "2016", "abstract": "Visualization of structural biology data uses color to categorize or separate dense structures into particular semantic units. In\nmultiscale models of viruses or bacteria, there are atoms on the finest level of detail, then amino-acids, secondary structures,\nmacromolecules, up to the compartment level and, in all these levels, elements can be visually distinguished by color. However,\ncurrently only single scale coloring schemes are utilized that show information for one particular scale only. We present a novel\ntechnology which adaptively, based on the current scale level, adjusts the color scheme to depict or distinguish the currently\nbest visible structural information. We treat the color as a visual resource that is distributed given a particular demand. The\nchanges of the color scheme are seamlessly interpolated between the color scheme from the previous views into a given new one.\nWith such dynamic multi-scale color mapping we ensure that the viewer is able to distinguish structural detail that is shown\non any given scale. This technique has been tested by users with an expertise in structural biology and has been overall well\nreceived.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Overview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 378, "image_height": 472, "name": "Waldin_Nicholas_2016_Chameleon-Overview.png", "type": "image/png", "size": 488060, "path": "Publication:Waldin_Nicholas_2016_Chameleon", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-Overview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-Overview:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1461, 1189, 1110, 166, 1365, 1260, 171 ], "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine", "event": "VCBM", "lecturer": [ 1339 ], "research_areas": [], "keywords": [], "weblinks": [ { "href": "https://diglib.eg.org/handle/10.2312/vcbm20161266", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Overview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 378, "image_height": 472, "name": "Waldin_Nicholas_2016_Chameleon-Overview.png", "type": "image/png", "size": 488060, "path": "Publication:Waldin_Nicholas_2016_Chameleon", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-Overview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-Overview:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Waldin_Nicholas_2016_Chameleon-paper.pdf", "type": "application/pdf", "size": 25172411, "path": "Publication:Waldin_Nicholas_2016_Chameleon", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "zoomed A", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 378, "image_height": 472, "name": "Waldin_Nicholas_2016_Chameleon-zoomed A.png", "type": "image/png", "size": 462676, "path": "Publication:Waldin_Nicholas_2016_Chameleon", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-zoomed A.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-zoomed A:thumb{{size}}.png" }, { "description": null, "filetitle": "zoomed B", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 380, "image_height": 474, "name": "Waldin_Nicholas_2016_Chameleon-zoomed B.png", "type": "image/png", "size": 360850, "path": "Publication:Waldin_Nicholas_2016_Chameleon", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-zoomed B.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-zoomed B:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/", "__class": "Publication" }, { "id": "viola-evr", "type_id": "habilthesis", "tu_id": null, "repositum_id": null, "title": "Effective Visual Representations", "date": "2016", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 728, "image_height": 612, "name": "viola-evr-image.jpg", "type": "image/jpeg", "size": 43401, "path": "Publication:viola-evr", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171 ], "research_areas": [ "IllVis", "Perception" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 728, "image_height": 612, "name": "viola-evr-image.jpg", "type": "image/jpeg", "size": 43401, "path": "Publication:viola-evr", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "viola-evr-thesis.pdf", "type": "application/pdf", "size": 35963729, "path": "Publication:viola-evr", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/", "__class": "Publication" }, { "id": "kendlbacher-2016", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Introduction Of OpenStreetMap For The Automatic Generation Of Destination Maps", "date": "2016", "abstract": "A destination map allows all travelers, within the given region of interest, to reach\nthe same destination, no matter where exactly they start their journey at. For this\npurpose the important roads for traversing the road network are chosen, while the\nnon-important roads are removed for clarity. These selected roads are then simplified\nto reduce unnecessary complexity, while maintaining the structure of the road network.\nThe chosen data is then tweaked to increase the visibility of the small roads. During this\nprocess the layout is iteratively changed and evaluated according to certain aspects, and\nif a newly proposed layout performs better than the old one, that new one forms the basis\nfor all future changes. In this work a method for automatically creating destination maps\nis implemented based on the algorithm proposed in the paper by Kopf et al. [KAB+10],\nwith efforts made to improve the original work.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Overview", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1759, "image_height": 976, "name": "kendlbacher-2016-image.png", "type": "image/png", "size": 389202, "path": "Publication:kendlbacher-2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/kendlbacher-2016-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/kendlbacher-2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1274 ], "co_supervisor": [ 836 ], "date_end": "2016", "date_start": "2015", "matrikelnr": "1128051", "supervisor": [ 193 ], "research_areas": [ "Modeling", "Rendering" ], "keywords": [ "Destination Maps", "OpenStreetMap" ], "weblinks": [], "files": [ { "description": "Overview", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1759, "image_height": 976, "name": "kendlbacher-2016-image.png", "type": "image/png", "size": 389202, "path": "Publication:kendlbacher-2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/kendlbacher-2016-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/kendlbacher-2016-image:thumb{{size}}.png" }, { "description": "Thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kendlbacher-2016-thesis.pdf", "type": "application/pdf", "size": 7646019, "path": "Publication:kendlbacher-2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/kendlbacher-2016-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/kendlbacher-2016-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/", "__class": "Publication" }, { "id": "donabauer-2015-asc", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Advanced Screen Capturing", "date": "2016", "abstract": "Creating a free-form screen shot to get what is needed is not trivial task. Moving the\nmouse cursor around the desired region to indicate the boundary of the screen snippet\noften yields jagged outlines in the result image. Furthermore, it is not that easy to fully\nexclude unnecessary screen elements during the selection process. As a consequence, the\ncreated screen shot may also contain some small portions of surrounded image elements\nwhich are unwanted in the result image or some areas may be accidentally truncated.\nTo overcome these limitations, Advanced Screen Capturing combines screen capture\nfunctionalities with image processing methods as an alternative way for creating free-form\nscreen shots. The selection of the desired screen region is done by roughly selecting\nthe needed image area. After extracting the highlighted screen region, a stroke mask\nis calculated for detecting the surrounded image elements by the drawn stroke. This\nstroke mask forms the basis for rejecting or accepting partly crossed image regions or\ntruncating large ones. The image regions for accepting and rejection are detected as\ncontours. By combining the stroke mask and the detected contours the segmentation\nmask is generated, where image regions are either fully included, fully rejected, or cut,\ndepending on their amount of overlays with the stroke mask. Based on the segmentation\nmask, the original captured screen shot is segmented. In the end, the calculated result\nimage contains all user defined relevant image information and adapted image boundaries.\nThe introduced screen capture and contour-based segmentation algorithm works best for\nscreen elements like text, charts, different kinds of shapes and a combination of these.\nAdvanced Screen Capturing can be used as a library for integration purposes in other\nsystems or as a stand alone desktop application. It was implemented by using C++ and\nQt Framework and the OpenCV library.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "donabauer-2015-asc-.png", "type": "image/png", "size": null, "path": "Publication:donabauer-2015-asc", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/donabauer-2015-asc/donabauer-2015-asc-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/donabauer-2015-asc/donabauer-2015-asc-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1266 ], "date_end": "2016-07", "date_start": "2015-10", "matrikelnr": "1226287", "supervisor": [ 1110 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "donabauer-2015-asc-.png", "type": "image/png", "size": null, "path": "Publication:donabauer-2015-asc", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/donabauer-2015-asc/donabauer-2015-asc-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/donabauer-2015-asc/donabauer-2015-asc-:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "donabauer-2015-asc-thesis.pdf", "type": "application/pdf", "size": null, "path": "Publication:donabauer-2015-asc", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/donabauer-2015-asc/donabauer-2015-asc-thesis.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/donabauer-2015-asc/", "__class": "Publication" }, { "id": "vad-2016-bre", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Generalized box-plot for root growth ensembles", "date": "2016", "abstract": "Background In the field of root biology there has been a remarkable progress in root phenotyping, which is the efficient acquisition and quantitative description of root morphology. What is currently missing are means to efficiently explore, exchange and present the massive amount of acquired, and often time dependent root phenotypes. \nResults In this work, we present visual summaries of root ensembles by aggregating root images with identical genetic characteristics. We use the generalized box plot concept with a new formulation of data depth. In addition to spatial distributions, we created a visual representation to encode temporal distributions associated with the development of root individuals.\nConclusions The new formulation of data depth allows for much faster implementation close to interactive frame rates. This allows us to present the statistics from bootstrapping that characterize the root sample set quality. As a positive side effect of the new data-depth formulation we are able to define the geometric median for the curve ensemble, which was well received by the domain experts.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1195, 1408, 1409, 962, 171 ], "journal": "BMC Bioinformatics", "lecturer": [ 1195 ], "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [ { "href": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333180/", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1200, "preview_image_height": 900, "name": "vad-2016-bre-paper.pdf", "type": "application/pdf", "size": 2416818, "path": "Publication:vad-2016-bre", "preview_name": "vad-2016-bre-paper:preview.png", "preview_type": "image/png", "preview_size": 174658, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/vad-2016-bre/vad-2016-bre-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/vad-2016-bre/vad-2016-bre-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "vad-2016-bre-Video.mp4", "type": "video/mp4", "size": 7077690, "path": "Publication:vad-2016-bre", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/vad-2016-bre/vad-2016-bre-Video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/vad-2016-bre/vad-2016-bre-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/vad-2016-bre/vad-2016-bre-Video:video.mp4" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/vad-2016-bre/", "__class": "Publication" }, { "id": "Cornel2016CFM", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Composite Flow Maps", "date": "2016", "abstract": "Flow maps are widely used to provide an overview of geospatial transportation data. Existing solutions lack the support for the interactive exploration of multiple flow components at once. Flow components are given by different materials being transported, different flow directions, or by the need for comparing alternative scenarios. In this paper, we combine flows as individual ribbons in one composite flow map. The presented approach can handle an arbitrary number of sources and sinks. To avoid visual clutter, we simplify our flow maps based on a force-driven algorithm, accounting for restrictions with respect to application semantics. The goal is to preserve important characteristics of the geospatial context. This feature also enables us to highlight relevant spatial information on top of the flow map such as traffic conditions or accessibility. The flow map is computed on the basis of flows between zones. We describe a method for auto-deriving zones from geospatial data according to application requirements. We demonstrate the method in real-world applications, including transportation logistics, evacuation procedures, and water simulation. Our results are evaluated with experts from corresponding fields.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 914, "image_height": 537, "name": "Cornel2016CFM-image.jpg", "type": "image/jpeg", "size": 169070, "path": "Publication:Cornel2016CFM", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 877, 1205, 1058, 1207, 1008, 171, 798 ], "event": "EuroVis 2016", "journal": "Computer Graphics Forum", "lecturer": [ 877 ], "location": "Gronningen, The Netherlands", "number": "3", "pages_from": "461", "pages_to": "470", "volume": "35", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 914, "image_height": 537, "name": "Cornel2016CFM-image.jpg", "type": "image/jpeg", "size": 169070, "path": "Publication:Cornel2016CFM", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Cornel2016CFM-paper.pdf", "type": "application/pdf", "size": 15694822, "path": "Publication:Cornel2016CFM", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/", "__class": "Publication" }, { "id": "glinzner-2016-tex", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Texturing of 3D Objects using Simple Physics and Equilateral Triangle Patches", "date": "2016", "abstract": "Visualizing cells, in particular cell membranes, is the inspiration for this work. The goal of the presented methods is the efficient visualization of phospholipid membranes.\nA prominent role hereby plays the concept of seamlessly texturing a surface in threedimensional\nspace. By using suitable texture patches, memory consumption can be kept\nlow.\nThe developed algorithm first creates a texture mesh that stays faithful to the surface\nstructure of a user-provided input-mesh. This texture mesh consists of equilateral triangles.\nThe triangulation is achieved by first simulating repulsion between the vertices making up the texture mesh. This way they are moved around on the surface of the input-mesh\nuntil they are uniformly distributed. Mapping texture onto equilateral triangles becomes\ntrivial if triangular texture patches are assumed as well. Thus, seamless texturing is\nachieved.\nThe implementation is described in detail, followed by the demonstration of results. Also,\nan exemplary performance-analysis is given, highlighting benefits and shortcomings of\nthe algorithm, especially concerning runtime. Additionally, a short overview of related\nand prior work is given.\nThe used framework is Unity 3D.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 999, "image_height": 732, "name": "glinzner-2016-tex-image.jpg", "type": "image/jpeg", "size": 120076, "path": "Publication:glinzner-2016-tex", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/glinzner-2016-tex/glinzner-2016-tex-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/glinzner-2016-tex/glinzner-2016-tex-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1371 ], "date_end": "2016-08", "date_start": "2015-04", "matrikelnr": "0726342", "note": "1", "supervisor": [ 171 ], "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 999, "image_height": 732, "name": "glinzner-2016-tex-image.jpg", "type": "image/jpeg", "size": 120076, "path": "Publication:glinzner-2016-tex", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/glinzner-2016-tex/glinzner-2016-tex-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/glinzner-2016-tex/glinzner-2016-tex-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "glinzner-2016-tex-paper.pdf", "type": "application/pdf", "size": 3871136, "path": "Publication:glinzner-2016-tex", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/glinzner-2016-tex/glinzner-2016-tex-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/glinzner-2016-tex/glinzner-2016-tex-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "source", "main_file": false, "use_in_gallery": false, "access": "public", "name": "glinzner-2016-tex-source.zip", "type": "application/x-zip-compressed", "size": 8365868, "path": "Publication:glinzner-2016-tex", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/glinzner-2016-tex/glinzner-2016-tex-source.zip", "thumb_image_sizes": [] } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/glinzner-2016-tex/", "__class": "Publication" }, { "id": "Groeller_2016_P1", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": " Visual Analysis of Defects in Glass Fiber Reinforced Polymers for 4DCT Interrupted In situ Tests", "date": "2016", "abstract": "Material engineers use interrupted in situ tensile testing to investigate the damage mechanisms in composite materials. For\neach subsequent scan, the load is incrementally increased until the specimen is completely fractured. During the interrupted in situ testing of glass fiber reinforced polymers (GFRPs) defects of four types are expected to appear: matrix fracture, fiber/matrix debonding, fiber pull-out, and fiber fracture. There is a growing demand for the detection and analysis of these defects among the material engineers. In this paper, we present a novel workflow for the detection, classification, and visual analysis of defects in GFRPs using interrupted in situ tensile tests in combination with X-ray Computed Tomography. The workflow is based on the\nautomatic extraction of defects and fibers. We introduce the automatic Defect Classifier assigning the most suitable type to each defect based on its geometrical features. We present a visual analysis system that integrates four visualization methods: 1) the Defect Viewer highlights defects with visually encoded type in the context of the original CT image, 2) the Defect Density Maps provide an overview of the defect distributions according to type in 2D and 3D, 3) the Final Fracture Surface estimates the material fracture’s location and displays it as a 3D surface, 4) the 3D Magic Lens enables interactive exploration by combining detailed visualizations in the region of interest with overview visualizations as context. In collaboration with material engineers,\nwe evaluate our solution and demonstrate its practical applicability.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 427, "image_height": 107, "name": "Groeller_2016_P1-image.jpg", "type": "image/jpeg", "size": 10634, "path": "Publication:Groeller_2016_P1", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P1/Groeller_2016_P1-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P1/Groeller_2016_P1-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1170, 817, 790, 571, 166, 611 ], "issn": "doi: 10.1111/cgf.12896", "journal": "Computer Graphics Forum (2016)", "number": "3", "pages_from": "201", "pages_to": "210", "volume": " 35", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 427, "image_height": 107, "name": "Groeller_2016_P1-image.jpg", "type": "image/jpeg", "size": 10634, "path": "Publication:Groeller_2016_P1", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P1/Groeller_2016_P1-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P1/Groeller_2016_P1-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Groeller_2016_P1-Paper.pdf", "type": "application/pdf", "size": 3432744, "path": "Publication:Groeller_2016_P1", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P1/Groeller_2016_P1-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P1/Groeller_2016_P1-Paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P1/", "__class": "Publication" }, { "id": "Groeller_2016_P2", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Towards Quantitative Visual Analytics with Structured Brushing and Linked Statistics", "date": "2016", "abstract": "Until now a lot of visual analytics predominantly delivers qualitative results—based, for example, on a continuous color map or a detailed spatial encoding. Important target applications, however, such as medical diagnosis and decision making, clearly benefit from quantitative analysis results. In this paper we propose several specific extensions to the well-established concept of\nlinking&brushing in order to make the analysis results more quantitative. We structure the brushing space in order to improve the reproducibility of the brushing operation, e.g., by introducing the percentile grid. We also enhance the linked visualization with overlaid descriptive statistics to enable a more quantitative reading of the resulting focus+context visualization. Addition-\nally, we introduce two novel brushing techniques: the percentile brush and the Mahalanobis brush. Both use the underlying\ndata to support statistically meaningful interactions with the data. We illustrate the use of the new techniques in the context of two case studies, one based on meteorological data and the other one focused on data from the automotive industry where we evaluate a shaft design in the context of mechanical power transmission in cars.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 340, "image_height": 287, "name": "Groeller_2016_P2-image.jpg", "type": "image/jpeg", "size": 25399, "path": "Publication:Groeller_2016_P2", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P2/Groeller_2016_P2-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P2/Groeller_2016_P2-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1359, 1204, 235, 710, 166, 176 ], "journal": "Computer Graphics Forum (2016)", "location": "EUROVIS 2016", "number": "3", "pages_from": "251", "pages_to": "260", "volume": "35", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 340, "image_height": 287, "name": "Groeller_2016_P2-image.jpg", "type": "image/jpeg", "size": 25399, "path": "Publication:Groeller_2016_P2", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P2/Groeller_2016_P2-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P2/Groeller_2016_P2-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Groeller_2016_P2-paper.pdf", "type": "application/pdf", "size": 12830428, "path": "Publication:Groeller_2016_P2", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P2/Groeller_2016_P2-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P2/Groeller_2016_P2-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P2/", "__class": "Publication" }, { "id": "Groeller_2016_P3", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "State of the Art in Transfer Functions for Direct Volume Rendering", "date": "2016", "abstract": "A central topic in scientific visualization is the transfer function (TF) for volume rendering. The TF serves a fundamental role in translating scalar and multivariate data into color and opacity to express and reveal the relevant features present in the data studied. Beyond this core functionality, TFs also serve as a tool for encoding and utilizing domain knowledge and as an expression for visual design of material appearances. TFs also enable interactive volumetric exploration of complex data. The purpose of this state-of-the-art report (STAR) is to provide an overview of research into the various aspects of TFs, which lead\nto interpretation of the underlying data through the use of meaningful visual representations. The STAR classifies TF research into the following aspects: dimensionality, derived attributes, aggregated attributes, rendering aspects, automation, and user interfaces. The STAR concludes with some interesting research challenges that form the basis of an agenda for the development of next generation TF tools and methodologies.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 293, "image_height": 355, "name": "Groeller_2016_P3-image.jpg", "type": "image/jpeg", "size": 19111, "path": "Publication:Groeller_2016_P3", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/Groeller_2016_P3-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/Groeller_2016_P3-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1397, 1398, 166, 226, 1399, 1186 ], "event": "EuroVisSTAR2016", "journal": "Computer Graphics Forum (2016)", "location": " ", "number": "3", "pages_from": "669", "pages_to": "691", "volume": "35", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 293, "image_height": 355, "name": "Groeller_2016_P3-image.jpg", "type": "image/jpeg", "size": 19111, "path": "Publication:Groeller_2016_P3", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/Groeller_2016_P3-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/Groeller_2016_P3-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Groeller_2016_P3-paper.pdf", "type": "application/pdf", "size": 11431259, "path": "Publication:Groeller_2016_P3", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/Groeller_2016_P3-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/Groeller_2016_P3-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/", "__class": "Publication" }, { "id": "ilcik-2016-cmssg", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Collaborative Modeling with Symbolic Shape Grammars", "date": "2016", "abstract": "Generative design based on symbolic grammars is oriented on individual artists. Team work is not supported since single scripts produced by various artists have to be linked and maintained manually with a lot of effort. The main motivation for a collaborative modeling framework was to reduce the script management required for large projects. We achieved even more by extending the design paradigm to a cloud environment where everyone is part of a huge virtual team. The main contribution of the presented work is a web-based modeling system with a specialized variant of a symbolic shape grammar.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Four variations of an office.", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 3816, "image_height": 2753, "name": "ilcik-2016-cmssg-image.png", "type": "image/png", "size": 3426115, "path": "Publication:ilcik-2016-cmssg", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cmssg/ilcik-2016-cmssg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cmssg/ilcik-2016-cmssg-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1303, 193 ], "booktitle": "Proceedings of eCAADe 2016", "date_from": "2016-08-22", "date_to": "2016-08-26", "lecturer": [ 1303 ], "location": "Oulu, Finland", "pages_from": "417", "pages_to": "426", "research_areas": [ "Modeling" ], "keywords": [ "collaboration, procedural modeling, procedural modeling" ], "weblinks": [ { "href": "http://papers.cumincad.org/cgi-bin/works/Show?ecaade2016_185", "caption": "paper", "description": null, "main_file": 0 }, { "href": "https://www.youtube.com/watch?v=nqd7p8mKzJM", "caption": "video", "description": null, "main_file": 0 } ], "files": [ { "description": "Four variations of an office.", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 3816, "image_height": 2753, "name": "ilcik-2016-cmssg-image.png", "type": "image/png", "size": 3426115, "path": "Publication:ilcik-2016-cmssg", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cmssg/ilcik-2016-cmssg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cmssg/ilcik-2016-cmssg-image:thumb{{size}}.png" } ], "projects_workgroups": [ "PAMINA" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cmssg/", "__class": "Publication" }, { "id": "Chen-Information-2016", "type_id": "book", "tu_id": null, "repositum_id": null, "title": "Information Theory Tools for Visualization", "date": "2016", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1083, 608, 171, 1512, 207, 1513 ], "isbn": "9781498740937", "pages": "194", "publisher": "CRC Press", "research_areas": [ "IllVis", "InfoVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Chen-Information-2016/", "__class": "Publication" }, { "id": "Solteszova2016", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Output-Sensitive Filtering of Streaming Volume Data", "date": "2016", "abstract": "Real-time volume data acquisition poses substantial challenges for the traditional visualization pipeline where data enhancement is typically seen as a pre-processing step. In the case of 4D ultrasound data, for instance, costly processing operations to reduce noise and to remove artefacts need to be executed for every frame. To enable the use of high-quality filtering operations in such scenarios, we propose an output-sensitive approach to the visualization of streaming volume data. Our method evaluates the potential contribution of all voxels to the final image, allowing us to skip expensive processing operations that have little or no effect on the visualization. As filtering operations modify the data values which may affect the visibility, our main contribution is a fast scheme to predict their maximum effect on the final image. Our approach prioritizes filtering of voxels with high contribution to the final visualization based on a maximal permissible error per pixel. With zero permissible error, the optimized filtering will yield a result that is identical to filtering of the entire volume. We provide a thorough technical evaluation of the approach and demonstrate it on several typical scenarios that require on-the-fly processing.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 272, "image_height": 312, "name": "Solteszova2016-image.jpg", "type": "image/jpeg", "size": 15871, "path": "Publication:Solteszova2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/Solteszova2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/Solteszova2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1304, 1007, 1370, 171, 161 ], "journal": "Computer Graphics Forum", "volume": "35", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 272, "image_height": 312, "name": "Solteszova2016-image.jpg", "type": "image/jpeg", "size": 15871, "path": "Publication:Solteszova2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/Solteszova2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/Solteszova2016-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Solteszova2016-paper.pdf", "type": "application/pdf", "size": 6192686, "path": "Publication:Solteszova2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/Solteszova2016-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/Solteszova2016-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/", "__class": "Publication" }, { "id": "intel2016", "type_id": "talk", "tu_id": 253112, "repositum_id": null, "title": "Real-time Subsurface Scattering, Light Transport and Two Minute Papers", "date": "2016", "abstract": "Károly Zsolnai-Fehér is a PhD student at the Technical University of Vienna.\n\nHe is going to talk about Separable Subsurface Scattering, his recent collaboration with Activision Blizzard and the University of Zaragoza to render subsurface scattering in real time on the GPU for computer games.\n\nNext, he'll transition to global illumination and explain a a simple extension to Metropolis Light Transport to improve the convergence speed on a variety of scenes.\n\nThe third part will be about Two Minute Papers, a YouTube web series that he started recently to communicate the most beautiful research results to a general audience.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1072, "image_height": 577, "name": "intel2016-.jpg", "type": "image/jpeg", "size": 40026, "path": "Publication:intel2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/intel2016/intel2016-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/intel2016/intel2016-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1073 ], "date_from": "2016-01-16", "event": "Intel Graphics Architecture Forum", "location": "Intel Advanced Rendering Technology group", "research_areas": [ "Rendering" ], "keywords": [ "global illumination", "light transport", "subsurface scattering", "two minute papers" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1072, "image_height": 577, "name": "intel2016-.jpg", "type": "image/jpeg", "size": 40026, "path": "Publication:intel2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/intel2016/intel2016-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/intel2016/intel2016-:thumb{{size}}.png" } ], "projects_workgroups": [ "Mofa" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/intel2016/", "__class": "Publication" }, { "id": "musialski_2016_sosp", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Non-Linear Shape Optimization Using Local Subspace Projections", "date": "2016", "abstract": "In this paper we present a novel method for non-linear shape optimization of 3d objects given by their surface representation. Our method takes advantage of the fact that various shape properties of interest give rise to underdetermined design spaces implying the existence of many good solutions. Our algorithm exploits this by performing iterative projections of the problem to local subspaces where it can be solved much more efficiently using standard numerical routines.\n\nWe demonstrate how this approach can be utilized for various shape optimization tasks using different shape parameterizations. In particular, we show how to efficiently optimize natural frequencies, mass properties, as well as the structural yield strength of a solid body. Our method is flexible, easy to implement, and very fast.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1774, "image_height": 1024, "name": "musialski_2016_sosp-image.png", "type": "image/png", "size": 1030436, "path": "Publication:musialski_2016_sosp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 844, 1090, 1063, 836, 193, 1243 ], "date_from": "2016-07-24", "date_to": "2016-07-28", "doi": "10.1145/2897824.2925886", "event": "ACM SIGGRAPH 2016", "issn": "0730-0301", "journal": "ACM Transactions on Graphics", "lecturer": [ 844, 1090 ], "location": "Anaheim, CA, USA", "number": "4", "pages_from": "87:1", "pages_to": "87:13", "volume": "35", "research_areas": [ "Fabrication", "Geometry" ], "keywords": [], "weblinks": [ { "href": "http://doi.acm.org/10.1145/2897824.2925886", "caption": "doi", "description": null, "main_file": 0 } ], "files": [ { "description": "MATLAB demo code of subspace projection", "filetitle": "code", "main_file": false, "use_in_gallery": false, "access": "public", "name": "musialski_2016_sosp-code.zip", "type": "application/octet-stream", "size": 2180501, "path": "Publication:musialski_2016_sosp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-code.zip", "thumb_image_sizes": [] }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1774, "image_height": 1024, "name": "musialski_2016_sosp-image.png", "type": "image/png", "size": 1030436, "path": "Publication:musialski_2016_sosp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-image:thumb{{size}}.png" }, { "description": "paper, full resolution", "filetitle": "paper_25MB", "main_file": false, "use_in_gallery": false, "access": "public", "name": "musialski_2016_sosp-paper_25MB.pdf", "type": "application/pdf", "size": 27147489, "path": "Publication:musialski_2016_sosp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-paper_25MB.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-paper_25MB:thumb{{size}}.png" }, { "description": "paper, low resolution", "filetitle": "paper_3MB", "main_file": true, "use_in_gallery": false, "access": "public", "name": "musialski_2016_sosp-paper_3MB.pdf", "type": "application/pdf", "size": 2640714, "path": "Publication:musialski_2016_sosp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-paper_3MB.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-paper_3MB:thumb{{size}}.png" }, { "description": "[150 KB]", "filetitle": "supplemental", "main_file": true, "use_in_gallery": false, "access": "public", "name": "musialski_2016_sosp-supplemental.pdf", "type": "application/pdf", "size": 154825, "path": "Publication:musialski_2016_sosp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-supplemental.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-supplemental:thumb{{size}}.png" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/", "__class": "Publication" }, { "id": "kreuzer-2016-isf", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Interactive Sketching of Floorplans", "date": "2016", "abstract": "Traditional CAD tools for architects offer a vast variety of drawing utilities to design buildings. It is up to the architect to maintain structural constraints such as beams and room-accessibility. \n\nThe main purpose of this internship was to design and implement an architectural CAD tool which automatically optimizes the building layout, based on constraints derived from architectural bestpractice concepts. The toolkit offers a user interface, where drawing and editing can be performed and a backend interface, where optimization algorithms i.e. constraint solvers can be implemented. \n ", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1046 ], "date_end": "2016-11-02", "date_start": "2014-10-01", "matrikelnr": "0827433", "supervisor": [ 844, 193 ], "research_areas": [ "Modeling" ], "keywords": [ "interactive modeling", "architectural modeling" ], "weblinks": [], "files": [ { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 962, "image_height": 701, "name": "kreuzer-2016-isf-image.png", "type": "image/png", "size": 89878, "path": "Publication:kreuzer-2016-isf", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/kreuzer-2016-isf/kreuzer-2016-isf-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/kreuzer-2016-isf/kreuzer-2016-isf-image:thumb{{size}}.png" }, { "description": "report", "filetitle": "report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "kreuzer-2016-isf-report.pdf", "type": "application/pdf", "size": 145043, "path": "Publication:kreuzer-2016-isf", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/kreuzer-2016-isf/kreuzer-2016-isf-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/kreuzer-2016-isf/kreuzer-2016-isf-report:thumb{{size}}.png" } ], "projects_workgroups": [ "PAMINA" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/kreuzer-2016-isf/", "__class": "Publication" }, { "id": "Reisacher2016", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "CellPathway: A Simulation Tool for Illustrative Visualization of Biochemical Networks", "date": "2016", "abstract": "The molecular knowledge about complex biochemical reaction networks in biotechnology is crucial and has received a lot\nof attention lately. As a consequence, multiple visualization programs have been already developed to illustrate the anatomy\nof a cell. However, since a real cell performs millions of reactions every second to sustain live, it is necessary to move from\nanatomical to physiological illustrations to communicate knowledge about the behavior of a cell more accurately. In this thesis I\npropose a reaction system including a collision detection algorithm, which is able to work at the level of single atoms, to enable\nprecise simulation of molecular interactions. To visually explain molecular activities during the simulation process, a real-time\nglow effect in combination with a clipping object have been implemented. Since intracellular processes are performed with a\nset of chemical transformations, a hierarchical structure is used to illustrate the impact of one reaction on the entire simulation.\nThe CellPathway system integrates acceleration techniques to render large datasets containing millions of atoms in real-time,\nwhile the reaction system is processed directly on the GPU to enable simulation with more than 1000 molecules. Furthermore,\na graphical user interface has been implemented to allow the user to control parameters during simulation interactively.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 400, "image_height": 400, "name": "Reisacher2016-image.jpg", "type": "image/jpeg", "size": 135376, "path": "Publication:Reisacher2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1267, 1189, 171 ], "booktitle": "Proceedings of WSCG", "lecturer": [ 1189 ], "location": "Pilsen, Czech Republic", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 400, "image_height": 400, "name": "Reisacher2016-image.jpg", "type": "image/jpeg", "size": 135376, "path": "Publication:Reisacher2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Reisacher2016-paper.pdf", "type": "application/pdf", "size": 1151123, "path": "Publication:Reisacher2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/", "__class": "Publication" }, { "id": "Reisacher_Matthias_CPW", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "CellPathway a Simulation Tool for Illustrative Visualization of Biochemical Networks", "date": "2016", "abstract": "The molecular knowledge about complex biochemical reaction networks in biotechnology is crucial and has received a lot of attention lately. As a consequence, multiple visualization programs have been already developed to illustrate the anatomy of a cell. However, since a real cell performs millions of reactions every second to sustain live, it is necessary to move from anatomical to physiological illustrations to communicate knowledge about the behavior of a cell more accurately. In this thesis I propose a reaction system including a collision detection algorithm, which is able to work at the level of single atoms, to enable\nprecise simulation of molecular interactions. To visually explain molecular activities during the simulation process, a real-time glow effect in combination with a clipping object have been implemented. Since intracellular processes are performed with a set of chemical transformations, a hierarchical structure is used to illustrate the impact of one reaction on the entire simulation. The CellPathway system integrates acceleration techniques to render large datasets containing millions of atoms in real-time, while the reaction system is processed directly on the GPU to enable simulation with more than 1000 molecules. Furthermore, a graphical user interface has been implemented to allow the user to control parameters during simulation interactively.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1267 ], "matrikelnr": "1125358", "supervisor": [ 171 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Reisacher_Matthias_CPW-Thesis.pdf", "type": "application/pdf", "size": 2772334, "path": "Publication:Reisacher_Matthias_CPW", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher_Matthias_CPW/Reisacher_Matthias_CPW-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher_Matthias_CPW/Reisacher_Matthias_CPW-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher_Matthias_CPW/", "__class": "Publication" }, { "id": "Krone2016VABC", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visual Analysis of Biomolecular Cavities: State of the Art", "date": "2016", "abstract": "In this report we review and structure the branch of molecular visualization that is concerned with the visual analysis of cavities in macromolecular protein structures. First the necessary background, the domain terminology, and the goals of analytical reasoning are introduced. Based on a comprehensive collection of relevant research works, we present a novel classification for cavity detection approaches and structure them into four distinct classes: grid-based, Voronoi-based, surface-based, and probe-based methods. The subclasses are then formed by their combinations. We match these approaches with corresponding visualization technologies starting with direct 3D visualization, followed with non-spatial visualization techniques that for example abstract the interactions between structures into a relational graph, straighten the cavity of interest to see its profile in one view, or aggregate the time sequence into a single contour plot. We also discuss the current state of methods for the visual analysis of cavities in dynamic data such as molecular dynamics simulations. Finally, we give an overview of the most common tools that are actively developed and used in the structural biology and biochemistry research. Our report is concluded by an outlook on future challenges in the field.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1754, "image_height": 1188, "name": "Krone2016VABC-image.jpg", "type": "image/jpeg", "size": 131835, "path": "Publication:Krone2016VABC", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/Krone2016VABC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/Krone2016VABC-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1249, 1248, 1250, 1252, 1253, 1143, 1026, 171 ], "journal": "Computer Graphics Forum", "lecturer": [ 1249 ], "location": "Gronningen, The Netherlands", "number": "3", "pages_from": "527", "pages_to": "551", "volume": "35", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12928/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1754, "image_height": 1188, "name": "Krone2016VABC-image.jpg", "type": "image/jpeg", "size": 131835, "path": "Publication:Krone2016VABC", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/Krone2016VABC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/Krone2016VABC-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Krone2016VABC-paper.pdf", "type": "application/pdf", "size": 26594142, "path": "Publication:Krone2016VABC", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/Krone2016VABC-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/Krone2016VABC-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/", "__class": "Publication" }, { "id": "Reichinger_Fuhrmann_2016", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "A Concept for Re-Useable Interactive Tactile Reliefs", "date": "2016", "abstract": "We introduce a concept for a relief-printer, a novel production method for tactile reliefs, that allows to reproduce bas-reliefs of several centimeters height difference. In contrast to available methods, this printer will have a much smaller preparation time, and does not consume material nor produce waste, since it is based on a re-usable medium, suitable for temporary printouts. Second, we sketch a concept for the autonomous, interactive exploration of tactile reliefs, in the form of a gesture-controlled audio guide, based on recent depth cameras. Especially the combination of both approaches promises rapid tactile accessibility to 2.5D spatial information in a home or education setting, to on-line resources, or as a kiosk installation in museums.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 335, "image_height": 156, "name": "Reichinger_Fuhrmann_2016-image.jpg", "type": "image/jpeg", "size": 10288, "path": "Publication:Reichinger_Fuhrmann_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 879, 204, 228, 190 ], "booktitle": "A Concept for Re-Useable Interactive Tactile Reliefs", "journal": "ICCHP 2016, Part II", "lecturer": [ 1392 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 335, "image_height": 156, "name": "Reichinger_Fuhrmann_2016-image.jpg", "type": "image/jpeg", "size": 10288, "path": "Publication:Reichinger_Fuhrmann_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Reichinger_Fuhrmann_2016-paper.pdf", "type": "application/pdf", "size": 428189, "path": "Publication:Reichinger_Fuhrmann_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/", "__class": "Publication" }, { "id": "raidou_miccai16", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers.", "date": "2016", "abstract": "Accurate segmentation of brain white matter hyperintensi-ties (WMHs) is important for prognosis and disease monitoring. To thisend, classi\fers are often trained { usually, using T1 and FLAIR weightedMR images. Incorporating additional features, derived from di\u000busionweighted MRI, could improve classi\fcation. However, the multitude ofdi\u000busion-derived features requires selecting the most adequate. For this,automated feature selection is commonly employed, which can often besub-optimal. In this work, we propose a di\u000berent approach, introducing asemi-automated pipeline to select interactively features for WMH classi\f-cation. The advantage of this solution is the integration of the knowledgeand skills of experts in the process. In our pipeline, a Visual Analytics(VA) system is employed, to enable user-driven feature selection. Theresulting features are T1, FLAIR, Mean Di\u000busivity (MD), and RadialDi\u000busivity (RD) { and secondarily,CSand Fractional Anisotropy (FA).The next step in the pipeline is to train a classi\fer with these features,and compare its results to a similar classi\fer, used in previous work withautomated feature selection. Finally, VA is employed again, to analyzeand understand the classi\fer performance and results.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410, 1433, 1434, 1435, 1436, 679, 459 ], "journal": "Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)", "research_areas": [ "InfoVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "demo", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou_miccai16-demo.mp4", "type": "video/mp4", "size": 40385545, "path": "Publication:raidou_miccai16", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_miccai16/raidou_miccai16-demo.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_miccai16/raidou_miccai16-demo:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_miccai16/raidou_miccai16-demo:video.mp4" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou_miccai16-paper.pdf", "type": "application/pdf", "size": 927133, "path": "Publication:raidou_miccai16", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_miccai16/raidou_miccai16-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_miccai16/raidou_miccai16-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_miccai16/", "__class": "Publication" }, { "id": "raidou_eurovis16", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visual Analysis of Tumor Control Models for Prediction of Radiotherapy Response.", "date": "2016", "abstract": "In radiotherapy, tumors are irradiated with a high dose, while surrounding healthy tissues are spared. To quantify the prob-ability that a tumor is effectively treated with a given dose, statistical models were built and employed in clinical research.These are called tumor control probability (TCP) models. Recently, TCP models started incorporating additional informationfrom imaging modalities. In this way, patient-specific properties of tumor tissues are included, improving the radiobiologicalaccuracy of models. Yet, the employed imaging modalities are subject to uncertainties with significant impact on the modelingoutcome, while the models are sensitive to a number of parameter assumptions. Currently, uncertainty and parameter sensitivityare not incorporated in the analysis, due to time and resource constraints. To this end, we propose a visual tool that enablesclinical researchers working on TCP modeling, to explore the information provided by their models, to discover new knowledgeand to confirm or generate hypotheses within their data. Our approach incorporates the following four main components: (1)It supports the exploration of uncertainty and its effect on TCP models; (2) It facilitates parameter sensitivity analysis to com-mon assumptions; (3) It enables the identification of inter-patient response variability; (4) It allows starting the analysis fromthe desired treatment outcome, to identify treatment strategies that achieve it. We conducted an evaluation with nine clinicalresearchers. All participants agreed that the proposed visual tool provides better understanding and new opportunities for theexploration and analysis of TCP modeling.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou_eurovis16-.pdf", "type": "application/pdf", "size": 2982085, "path": "Publication:raidou_eurovis16", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_eurovis16/raidou_eurovis16-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_eurovis16/raidou_eurovis16-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410, 1444, 1445, 1446, 1447, 679, 459 ], "journal": "EuroVis - Eurographics/IEEE-VGTC Symposium on Visualization 2016", "lecturer": [ 1448, 1449, 652 ], "research_areas": [ "InfoVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou_eurovis16-.pdf", "type": "application/pdf", "size": 2982085, "path": "Publication:raidou_eurovis16", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_eurovis16/raidou_eurovis16-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_eurovis16/raidou_eurovis16-:thumb{{size}}.png" }, { "description": null, "filetitle": "demo", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou_eurovis16-demo.mp4", "type": "video/mp4", "size": 43216314, "path": "Publication:raidou_eurovis16", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_eurovis16/raidou_eurovis16-demo.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_eurovis16/raidou_eurovis16-demo:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_eurovis16/raidou_eurovis16-demo:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_eurovis16/", "__class": "Publication" }, { "id": "leimer-2016-coan", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Co-Analysis and Parameterization of 3D Shape Collections for Shape Synthesis", "date": "2016", "abstract": "With online model repositories growing larger every day, both experienced and inexperienced modelers are presented with new possibilities for content creation. One such possibility is the creation of new shapes by combining parts of already existing shapes. The advantages of this shape synthesis method are that it takes less time than traditional modeling approaches and that it can be used even by inexperienced users. This thesis introduces a framework for this type of shape synthesis that consists of four stages, incorporating a new way for parameterization and exploration of shape collections. Using a modular and extensible approach, the co-analysis stage groups parts of shapes into categories based on their function, creating a correspondence between parts of different shapes. By analyzing relations between pairs of parts and how their spatial arrangements vary across the collection, a small number of parameters is found in the parameterization stage. Starting with an initial shape, these parameters can then be used to browse the collection in the exploration stage, either by altering the parameters directly or by interacting with the shape itself. Finally, in the synthesis stage a new shape can be created by exchanging parts of the initial shape with corresponding parts of the shapes found during the exploration.", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 581, "image_height": 342, "name": "leimer-2016-coan-image.png", "type": "image/png", "size": 174845, "path": "Publication:leimer-2016-coan", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1019 ], "date_end": "2016-02-29", "date_start": "2015-01-30", "matrikelnr": "0825842", "supervisor": [ 844 ], "research_areas": [ "Modeling" ], "keywords": [ "computer graphics", "3D shape segmentation", "3D shape co-analysis", "3D shape processing" ], "weblinks": [], "files": [ { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 581, "image_height": 342, "name": "leimer-2016-coan-image.png", "type": "image/png", "size": 174845, "path": "Publication:leimer-2016-coan", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-image:thumb{{size}}.png" }, { "description": "poster", "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer-2016-coan-poster.pdf", "type": "application/pdf", "size": 2311490, "path": "Publication:leimer-2016-coan", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-poster:thumb{{size}}.png" }, { "description": "thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer-2016-coan-thesis.pdf", "type": "application/pdf", "size": 23133043, "path": "Publication:leimer-2016-coan", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/", "__class": "Publication" }, { "id": "lemuzic-mindek-2016-viseq", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visibility Equalizer: Cutaway Visualization of Mesoscopic Biological Models", "date": "2016", "abstract": "In scientific illustrations and visualization, cutaway views are often employed as an effective technique for occlusion management in densely packed scenes.We propose a novel method for authoring cutaway illustrations of mesoscopic biological models. In contrast to the existing cutaway algorithms, we take advantage of the specific nature of the biological models. These models consist of thousands of instances with a comparably smaller number of different types. Our method constitutes a two stage process. In the first step, clipping objects are placed in the scene, creating a cutaway visualization of the model. During this process, a hierarchical list of stacked bars inform the user about the instance visibility distribution of each individual molecular type in the scene. In the second step, the visibility of each molecular type is fine-tuned through these bars, which at this point act as interactive visibility equalizers. An evaluation of our technique with domain experts confirmed that our equalizer-based approach for visibility specification is valuable and effective for both, scientific and educational purposes.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Preview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 742, "image_height": 663, "name": "lemuzic-mindek-2016-viseq-Preview.png", "type": "image/png", "size": 858868, "path": "Publication:lemuzic-mindek-2016-viseq", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Preview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Preview:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1189, 935, 1072, 1260, 1365, 171 ], "date_from": "2016-06-06", "date_to": "2016-06-10", "event": "EuroVis 2016", "journal": "Computer Graphics Forum", "lecturer": [ 935 ], "location": "Groningen, Netherlands", "number": "3", "volume": "35", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "molecular visualization", "visibility", "occlusion" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "lemuzic-mindek-2016-viseq-Paper.pdf", "type": "application/pdf", "size": 3971312, "path": "Publication:lemuzic-mindek-2016-viseq", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Preview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 742, "image_height": 663, "name": "lemuzic-mindek-2016-viseq-Preview.png", "type": "image/png", "size": 858868, "path": "Publication:lemuzic-mindek-2016-viseq", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Preview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Preview:thumb{{size}}.png" }, { "description": null, "filetitle": "Slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "lemuzic-mindek-2016-viseq-Slides.pptx", "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation", "size": 140149203, "path": "Publication:lemuzic-mindek-2016-viseq", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Slides.pptx", "thumb_image_sizes": [] } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/", "__class": "Publication" }, { "id": "malan_fluoro", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "A fluoroscopy-based planning and guidance software tool for minimally invasive hip refixation by cement injection.", "date": "2016", "abstract": "PURPOSE:\nIn orthopaedics, minimally invasive injection of bone cement is an established technique. We present HipRFX, a software tool for planning and guiding a cement injection procedure for stabilizing a loosening hip prosthesis. HipRFX works by analysing a pre-operative CT and intraoperative C-arm fluoroscopic images.\nMETHODS:\nHipRFX simulates the intraoperative fluoroscopic views that a surgeon would see on a display panel. Structures are rendered by modelling their X-ray attenuation. These are then compared to actual fluoroscopic images which allow cement volumes to be estimated. Five human cadaver legs were used to validate the software in conjunction with real percutaneous cement injection into artificially created periprothetic lesions.\nRESULTS:\nBased on intraoperatively obtained fluoroscopic images, our software was able to estimate the cement volume that reached the pre-operatively planned targets. The actual median target lesion volume was 3.58 ml (range 3.17-4.64 ml). The median error in computed cement filling, as a percentage of target volume, was 5.3% (range 2.2-14.8%). Cement filling was between 17.6 and 55.4% (median 51.8%).\nCONCLUSIONS:\nAs a proof of concept, HipRFX was capable of simulating intraoperative fluoroscopic C-arm images. Furthermore, it provided estimates of the fraction of injected cement deposited at its intended target location, as opposed to cement that leaked away. This level of knowledge is usually unavailable to the surgeon viewing a fluoroscopic image and may aid in evaluating the success of a percutaneous cement injection intervention.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1437, 1438, 1410, 1439, 1440, 1441, 1442, 1443 ], "journal": "International journal of computer assisted radiology and surgery,", "number": "2", "pages_from": "281", "pages_to": "296", "volume": "11", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [ { "href": "https://www.ncbi.nlm.nih.gov/pubmed/26259554", "caption": "Paper can be accessed here", "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/malan_fluoro/", "__class": "Publication" }, { "id": "miao_2016_cgf", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Visual Quantification of the Circle of Willis: An Automated Identification and Standardized Representation", "date": "2016", "abstract": "This paper presents a method for the visual quantification of cerebral arteries, known as the Circle of Willis (CoW). It is an arterial structure with the responsibility of supplying the brain with blood, however, dysfunctions can lead to strokes. The diagnosis of such a time-critical/urgent event depends on the expertise of radiologists and the applied software tools. They use basic display methods of the volumetric data without any support of advanced image processing and visualization techniques. The goal of this paper is to present an automated method for the standardized description of cerebral arteries in stroke patients in order to provide an overview of the CoW's configuration. This novel representation provides visual indications of problematic areas as well as straightforward comparisons between multiple patients. Additionally, we offer a pipeline for extracting the CoW from Time-of-Flight Magnetic Resonance Angiography (TOF-MRA) data sets together with an enumeration technique for labelling the arterial segments by detecting the main supplying arteries of the CoW. We evaluated the feasibility of our visual quantification approach in a study of 63 TOF-MRA data sets and compared our findings to those of three radiologists. The obtained results demonstrate that our proposed techniques are effective in detecting the arteries and visually capturing the overall configuration of the CoW.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1900, "image_height": 1842, "name": "miao_2016_cgf-image.png", "type": "image/png", "size": 271848, "path": "Publication:miao_2016_cgf", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/miao_2016_cgf/miao_2016_cgf-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/miao_2016_cgf/miao_2016_cgf-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263, 869, 1264, 166 ], "issn": "1467-8659", "journal": "Computer Graphics Forum", "research_areas": [ "InfoVis", "MedVis" ], "keywords": [ "Circle of Willis", "medical visualization", "information visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1900, "image_height": 1842, "name": "miao_2016_cgf-image.png", "type": "image/png", "size": 271848, "path": "Publication:miao_2016_cgf", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/miao_2016_cgf/miao_2016_cgf-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/miao_2016_cgf/miao_2016_cgf-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "miao_2016_cgf-paper.pdf", "type": "application/pdf", "size": 5537482, "path": "Publication:miao_2016_cgf", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/miao_2016_cgf/miao_2016_cgf-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/miao_2016_cgf/miao_2016_cgf-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/miao_2016_cgf/", "__class": "Publication" }, { "id": "moerth_eric-2016-3DF", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "3D-Printing of Fetal Ultrasound", "date": "2016", "abstract": "The 3D ultrasound in prenatal diagnostics is nowadays a standard investigation in the\nfield of medical informatics. The acquired data can be used in lots of different applications.\nOne of them is to fabricate the fetus model using a 3D printer. The problem here is to\nconvert the given volume data into a structure that can be printed. Current generation\nof 3D printers expect as an input objects defined by closed surfaces. This work handles\nthe problem of how to calculate such surfaces. Our solution relies on the marching cubes\nalgorithm that extracts the surface out of the volume data. The extracted surface is then\nrefined. The last processing step is to save the data into an suitable data format. The\nresults demonstrate that it is possible to print the fetus model from the 3D ultrasound\ndata and that people are able to perceive the face of the fetus in the fabricated objects.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1345 ], "date_end": "2016", "date_start": "2016", "duration": "8 months", "matrikelnr": "1325306", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [ { "href": "https://www.cg.tuwien.ac.at/courses/projekte/3d-printing-fetal-ultrasound", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "moerth_eric-2016-3DF-thesis.pdf", "type": "application/x-download", "size": 17060361, "path": "Publication:moerth_eric-2016-3DF", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/moerth_eric-2016-3DF/moerth_eric-2016-3DF-thesis.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/moerth_eric-2016-3DF/", "__class": "Publication" }, { "id": "ohrhallinger-2016-sgp", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Curve Reconstruction with Many Fewer Samples", "date": "2016", "abstract": "We consider the problem of sampling points from a collection of smooth curves in the plane, such that the Crust family of proximity-based reconstruction algorithms can rebuild the curves. Reconstruction requires a dense sampling of local features, i.e., parts of the curve that are close in Euclidean distance but far apart geodesically.\nWe show that epsilon<0.47-sampling is sufficient for our proposed HNN-CRUST variant, improving upon the \nstate-of-the-art requirement of epsilon<1/3-sampling.\nThus we may reconstruct curves with many fewer samples.\nWe also present a new sampling scheme that reduces the required density even further than epsilon<0.47-sampling.\nWe achieve this by better controlling the spacing between geodesically consecutive points.\nOur novel sampling condition is based on the reach, the minimum local feature size along intervals between samples.\nThis is mathematically closer to the reconstruction density requirements, particularly near sharp-angled features.\nWe prove lower and upper bounds on reach rho-sampling density in terms of lfs epsilon-sampling and demonstrate that we typically reduce the required number of samples for reconstruction by more than half.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2000, "image_height": 1200, "name": "ohrhallinger-2016-sgp-image.png", "type": "image/png", "size": 54228, "path": "Publication:ohrhallinger-2016-sgp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 948, 1363, 193 ], "date_from": "2016-06-20", "date_to": "2016-06-24", "event": "Symposium on Geometry Processing", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 948 ], "location": "Berlin, Germany", "number": "5", "pages_from": "167", "pages_to": "176", "volume": "35", "research_areas": [ "Geometry" ], "keywords": [ "sampling condition", "curve reconstruction", "curve sampling" ], "weblinks": [ { "href": "https://github.com/stefango74/hnn-crust-sgp16", "caption": "Reproducibility Source Code", "description": "This git repository contains all source code and instructions to reproduce the relevant figures and tables of the paper on an Ubuntu 16.04LTS system.", "main_file": 1 }, { "href": "http://dx.doi.org/10.1111/cgf.12973", "caption": "doi", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2000, "image_height": 1200, "name": "ohrhallinger-2016-sgp-image.png", "type": "image/png", "size": 54228, "path": "Publication:ohrhallinger-2016-sgp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ohrhallinger-2016-sgp-paper.pdf", "type": "application/pdf", "size": 969324, "path": "Publication:ohrhallinger-2016-sgp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-paper:thumb{{size}}.png" }, { "description": "slides", "filetitle": "slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ohrhallinger-2016-sgp-slides.pdf", "type": "application/pdf", "size": 6164109, "path": "Publication:ohrhallinger-2016-sgp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-slides:thumb{{size}}.png" } ], "projects_workgroups": [ "Harvest4D", "ShapeAcquisition" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/", "__class": "Publication" } ]