[ { "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": "Viola_Ivan_UVP", "type_id": "inbook", "tu_id": null, "repositum_id": null, "title": "The Ultrasound Visualization Pipeline", "date": "2014-09", "abstract": "Radiology is one of the main tools in modern medicine. A numerous set of deceases, ailments and treatments utilize accurate images of the patient. Ultrasound is one of the most frequently used imaging modality in medicine. The high spatial resolution, its interactive nature and non-invasiveness makes it the first choice in many examinations. Image interpretation is one of ultrasound’s main challenges. Much training is required to obtain a confident skill level in ultrasound-based diagnostics. State-of-the-art graphics techniques is needed to provide meaningful visualizations of ultrasound in real-time. In this paper we present the process-pipeline for ultrasound visualization, including an overview of the tasks performed in the specific steps. To provide an insight into the trends of ultrasound visualization research, we have selected a set of significant publications and divided them into a technique-based taxonomy covering the topics pre-processing, segmentation, registration, rendering and augmented reality. For the different technique types we discuss the difference between ultrasound-based techniques and techniques for other modalities.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 429, "image_height": 370, "name": "Viola_Ivan_UVP-.jpg", "type": "image/jpeg", "size": 73185, "path": "Publication:Viola_Ivan_UVP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/Viola_Ivan_UVP-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/Viola_Ivan_UVP-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1007, 896, 1220, 1161, 1221, 951, 171 ], "address": "http://link.springer.com/chapter/10.1007%2F978-1-4471-6497-5_24", "booktitle": "Scientific Visualization", "chapter": "Uncertainty, Multifield, Biomedical, and Scalable Visualization", "editor": "Charles D. Hansen, Min Chen, Christopher R. Johnson, Arie E. Kaufman, Hans Hagen", "isbn": "978-1-4471-6496-8", "pages_from": "283", "pages_to": "303", "publisher": "Springer London", "series": "Mathematics and Visualization", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 429, "image_height": 370, "name": "Viola_Ivan_UVP-.jpg", "type": "image/jpeg", "size": 73185, "path": "Publication:Viola_Ivan_UVP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/Viola_Ivan_UVP-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/Viola_Ivan_UVP-:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_UVP-paper.pdf", "type": "application/pdf", "size": 6903114, "path": "Publication:Viola_Ivan_UVP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/Viola_Ivan_UVP-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/Viola_Ivan_UVP-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/", "__class": "Publication" }, { "id": "Viola_Ivan_VDP", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Visibility-Driven Processing of Streaming Volume Data", "date": "2014-09", "abstract": "In real-time volume data acquisition, such as 4D ultrasound, the raw data is challenging to visualize directly\nwithout additional processing. Noise removal and feature detection are common operations, but many methods\nare too costly to compute over the whole volume when dealing with live streamed data. In this paper, we propose\na visibility-driven processing scheme for handling costly on-the-fly processing of volumetric data in real-time. In contrast to the traditional visualization pipeline, our scheme utilizes a fast computation of the potentially visible subset of voxels which significantly reduces the amount of data required to process. As filtering operations modify the data values which may affect their visibility, our method for visibility-mask generation ensures that the set of elements deemed visible does not change after processing. Our approach also exploits the visibility information for the storage of intermediate values when multiple operations are performed in sequence, and can therefore significantly reduce the memory overhead of longer filter pipelines. We provide a thorough technical evaluation of the approach and demonstrate it on several typical scenarios where on-the-fly processing is required.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 617, "image_height": 572, "name": "Viola_Ivan_VDP-image.jpg", "type": "image/jpeg", "size": 17438, "path": "Publication:Viola_Ivan_VDP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 896, 1007, 171, 161 ], "booktitle": "Proceedings of EG VCBM 2014", "date_from": "2014-09-04", "date_to": "2014-09-05", "editor": "Ivan Viola and Katja Buehler and Timo Ropinski", "event": "4th EG Workshop on Visual Computing and Biology Medicine", "isbn": "978-3-905674-62-0", "issn": "2070-5778", "lecturer": [ 1304 ], "location": "Vienna, Austria", "pages_from": "127", "pages_to": "136", "publisher": "Eurographics Association", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 617, "image_height": 572, "name": "Viola_Ivan_VDP-image.jpg", "type": "image/jpeg", "size": 17438, "path": "Publication:Viola_Ivan_VDP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Media Player", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 512, "preview_image_height": 512, "name": "Viola_Ivan_VDP-Media Player.wmv", "type": "application/octet-stream", "size": 12664687, "path": "Publication:Viola_Ivan_VDP", "preview_name": "Viola_Ivan_VDP-Media Player:preview.png", "preview_type": "image/jpeg", "preview_size": 11329, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-Media Player.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-Media Player:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_VDP-Paper.pdf", "type": "application/pdf", "size": 12294247, "path": "Publication:Viola_Ivan_VDP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/", "__class": "Publication" }, { "id": "Viola_Ivan_2013_HQ3", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "High-Quality 3D Visualization of In-Situ Ultrasonography", "date": "2013-05", "abstract": "In recent years medical ultrasound has experienced a rapid development in the quality of real-time 3D ultrasound\n(US) imaging. The image quality of the 3D volume that was previously possible to achieve within the range of a\nfew seconds, is now possible in a fraction of a second. This technological advance offers entirely new opportunities for the use of US in the clinic. In our project, we investigate how real-time 3D US can be combined with high-performance processing of today’s graphics hardware to allow for high-quality 3D visualization and precise navigation during the examination.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1168, "image_height": 669, "name": "Viola_Ivan_2013_HQ3-.jpg", "type": "image/jpeg", "size": 370272, "path": "Publication:Viola_Ivan_2013_HQ3", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_HQ3/Viola_Ivan_2013_HQ3-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_HQ3/Viola_Ivan_2013_HQ3-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 1007, 896, 1162, 176, 1163, 1159, 1147, 1164, 1160, 1161 ], "booktitle": "EG 2013 - Dirk Bartz Prize", "date_from": "2013-05-06", "date_to": "2013-05-10", "lecturer": [ 171 ], "location": "Girona, Spain", "note": "1st Prize - Medical Prize Short Paper", "pages_from": "1", "pages_to": "4", "publisher": "Eurogrpahics", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1168, "image_height": 669, "name": "Viola_Ivan_2013_HQ3-.jpg", "type": "image/jpeg", "size": 370272, "path": "Publication:Viola_Ivan_2013_HQ3", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_HQ3/Viola_Ivan_2013_HQ3-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_HQ3/Viola_Ivan_2013_HQ3-:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_2013_HQ3-Paper.pdf", "type": "application/pdf", "size": 4037432, "path": "Publication:Viola_Ivan_2013_HQ3", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_HQ3/Viola_Ivan_2013_HQ3-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_HQ3/Viola_Ivan_2013_HQ3-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_HQ3/", "__class": "Publication" }, { "id": "Solteszova-2009-VQN", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Visual Queries in Neuronal Data Exploration", "date": "2010-06", "abstract": "The major goal of neuroscientists’ work is to explain specific behavior of living\r\nbeings, especially humans. However, human behavioral traits are complex and\r\ndifficult to comprehend. For this purpose, the researchers explore the anatomy\r\nand morphology of neuronal circuits of simpler species to identify their meaning\r\nand functionality. The fruit fly Drosophila melanogaster is a favorite organism\r\nin neurobiology research because it facilitates studies of complex systems on a\r\nsimple model. For this purpose, large databases of neuronal structures acquired\r\nby microscopy scans were built and adapted for computer-aided exploration and\r\nvisualization. Commodity products feature standard visualization techniques tailored\r\nfor exploration of biological structures. However, orientation in large collections\r\nof structures still poses a problem. Traditional table-view database interfaces\r\nallow filtering of items and accessing known subsets of data, but do not support\r\nselection based on spatial relationships.\r\nIn this thesis, we address this problem in the following way. We describe a system\r\nwhich facilitates visual exploration of a large collection of neuroanatomical\r\nstructures. We combined standard visualization techniques with a novel visual\r\napproach for exploration and queries. Our system provides three basic types of\r\nqueries. Path queries use an intuitive sketching interface and give access to structures\r\nlocated in the proximity of the sketched path. Object queries select objects\r\nbased on their mutual spatial distance. Semantic queries allow fast browsing using\r\nsemantic relationships stored in the database. The system was designed in an interdisciplinary\r\ncollaboration with domain experts, who affirmed that availability\r\nof such a system would be very useful for their research.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 896 ], "diploma_examina": "2009", "supervisor": [ 166, 161 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Solteszova-2009-VQN-Thesis.pdf", "type": "application/pdf", "size": 60640465, "path": "Publication:Solteszova-2009-VQN", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Solteszova-2009-VQN/Solteszova-2009-VQN-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Solteszova-2009-VQN/Solteszova-2009-VQN-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Solteszova-2009-VQN/", "__class": "Publication" }, { "id": "solteszova-2010-MOS", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "A Multidirectional Occlusion Shading Model for Direct Volume Rendering", "date": "2010-06", "abstract": "In this paper, we present a novel technique which simulates directional light scattering for more realistic interactive\nvisualization of volume data. Our method extends the recent directional occlusion shading model by enabling\nlight source positioning with practically no performance penalty. Light transport is approximated using a tilted\ncone-shaped function which leaves elliptic footprints in the opacity buffer during slice-based volume rendering.\nWe perform an incremental blurring operation on the opacity buffer for each slice in front-to-back order. This\nbuffer is then used to define the degree of occlusion for the subsequent slice. Our method is capable of generating\nhigh-quality soft shadowing effects, allows interactive modification of all illumination and rendering parameters,\nand requires no pre-computation.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Multidirectional Occlusion Shading Model for Direct Volume Rendering", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1000, "image_height": 1112, "name": "solteszova-2010-MOS-Image.jpg", "type": "image/jpeg", "size": 106005, "path": "Publication:solteszova-2010-MOS", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 896, 616, 161, 171 ], "date_from": "2010-06-09", "date_to": "2010-06-11", "event": "EuroVis 2010", "journal": "Computer Graphics Forum", "lecturer": [ 896 ], "number": "3", "pages_from": "883", "pages_to": "891", "volume": "29", "research_areas": [ "MedVis" ], "keywords": [ "global illumination", "volume rendering", "shadows", "optical model" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2009.01695.x/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "Multidirectional Occlusion Shading Model for Direct Volume Rendering", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1000, "image_height": 1112, "name": "solteszova-2010-MOS-Image.jpg", "type": "image/jpeg", "size": 106005, "path": "Publication:solteszova-2010-MOS", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "solteszova-2010-MOS-Paper.pdf", "type": "application/pdf", "size": 2580717, "path": "Publication:solteszova-2010-MOS", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Paper:thumb{{size}}.png" }, { "description": "Demonstration", "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 640, "preview_image_height": 480, "name": "solteszova-2010-MOS-Video.avi", "type": "video/x-msvideo", "size": 2787260, "path": "Publication:solteszova-2010-MOS", "preview_name": "solteszova-2010-MOS-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 38516, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/", "__class": "Publication" }, { "id": "bruckner-2009-BVQ", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "BrainGazer - Visual Queries for Neurobiology Research", "date": "2009-11", "abstract": "Neurobiology investigates how anatomical and physiological relationships in the nervous system mediate behavior. Molecular genetic techniques, applied to species such as the common fruit fly Drosophila melanogaster, have proven to be an important tool in this research. Large databases of transgenic specimens are being built and need to be analyzed to establish models of neural information processing. In this paper we present an approach for the exploration and analysis of neural circuits based on such a database. We have designed and implemented BrainGazer, a system which integrates visualization techniques for volume data acquired through confocal microscopy as well as annotated anatomical structures with an intuitive approach for accessing the available information. We focus on the ability to visually query the data based on semantic as well as spatial relationships. Additionally, we present visualization techniques for the concurrent depiction of neurobiological volume data and geometric objects which aim to reduce visual clutter. 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