[ { "id": "Gavrilescu-2010-CIE", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Custom Interface Elements for Improved Paramter Control in Volume Rendering", "date": "2010-10", "abstract": "In volume visualization interfaces, renderingrelated\r\nparameters are often manually editable through\r\nvarious controls and interface elements. Most of the time\r\nhowever, these offer little or no beforehand information on\r\nthe resulting effects that would occur for certain parameter\r\nvalues or across the whole value domain. This makes\r\nparameter adjustment a trial and error process. We have\r\ndeveloped techniques to anticipate these changes and display\r\nthem on customized versions of popular interface elements,\r\nsuch as sliders or transfer function editors. Through the use of\r\nvisualization means such as graphs, color mapping, and\r\nvarious other indicators, the influence of potential parameter\r\nchanges on the volume rendering output can be assessed\r\nbefore any actual changes are made. This makes it easier for\r\nthe potential user to work with such interfaces, while\r\nreceiving feedback on parameter behavior and stability.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 737, 607, 166 ], "booktitle": "14th Int. Conf. on System Theory and Control 2010", "date_from": "1020-10-17", "date_to": "2010-10-19", "lecturer": [ 737 ], "location": "Sinaia, Romania", "pages_from": "219", "pages_to": "224", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Gavrilescu-2010-CIE-Paper.pdf", "type": "application/pdf", "size": 712316, "path": "Publication:Gavrilescu-2010-CIE", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Gavrilescu-2010-CIE/Gavrilescu-2010-CIE-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Gavrilescu-2010-CIE/Gavrilescu-2010-CIE-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Gavrilescu-2010-CIE/", "__class": "Publication" }, { "id": "malik-2010-cvp", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Comparative Visualization for Parameter Studies of Dataset Series", "date": "2010-09", "abstract": "This paper proposes comparison and visualization techniques to carry out parameter studies for the special application area of dimensional measurement using 3D X-ray computed tomography (3DCT). A dataset series is generated by scanning a specimen multiple times by varying parameters of an industrial 3DCT device. A high-resolution series is explored using our planar-reformatting-based visualization system. We present a novel multi-image view and an edge explorer for comparing and visualizing gray values and edges of several datasets simultaneously. Visualization results and quantitative data are displayed side by side. Our technique is scalable and generic. It can be effective in various application areas like parameter studies of imaging modalities and dataset artifact detection. For fast data retrieval and convenient usability, we use bricking of the datasets and efficient data structures. We evaluate the applicability of the proposed techniques in collaboration with our company partners.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 796, "image_height": 747, "name": "malik-2010-cvp-image.jpg", "type": "image/jpeg", "size": 160956, "path": "Publication:malik-2010-cvp", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/malik-2010-cvp/malik-2010-cvp-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/malik-2010-cvp/malik-2010-cvp-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 607, 611, 166 ], "issn": "1077-2626 ", "journal": "IEEE Transaction on Visualization and Computer Graphics (TVCG)", "number": "5", "pages_from": " 829", "pages_to": "840 ", "volume": "16", "research_areas": [], "keywords": [], "weblinks": [ { "href": "http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5401158", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 796, "image_height": 747, "name": "malik-2010-cvp-image.jpg", "type": "image/jpeg", "size": 160956, "path": "Publication:malik-2010-cvp", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/malik-2010-cvp/malik-2010-cvp-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/malik-2010-cvp/malik-2010-cvp-image:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/malik-2010-cvp/", "__class": "Publication" }, { "id": "malik-thesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/12564", "title": "Feature Centric Volume Visualization", "date": "2009-12", "abstract": "This thesis presents techniques and algorithms for the effective exploration of volumetric datasets. The Visualization techniques are designed to focus on user specified features of interest. The proposed techniques are grouped into four chapters namely feature peeling, computation and visualization of fabrication artifacts, locally adaptive marching cubes, and comparative visualization for parameter studies of dataset series. The presented methods enable the user to efficiently explore the volumetric dataset for features of interest.\n\nFeature peeling is a novel rendering algorithm that analyzes ray profiles along lines of sight. The profiles are subdivided according to encountered peaks and valleys at so called transition points. The sensitivity of these transition points is calibrated via two thresholds. The slope threshold is based on the magnitude of a peak following a valley, while the peeling threshold measures the depth of the transition point relative to the neighboring rays. This technique separates the dataset into a number of feature layers.\n\nFabrication artifacts are of prime importance for quality control engineers for first part inspection of industrial components. Techniques are presented in this thesis to measure fabrication artifacts through direct comparison of a reference CAD model with the corresponding industrial 3D X-ray computed tomography volume. Information from the CAD model is used to locate corresponding points in the volume\ndata. Then various comparison metrics are computed to measure differences\n(fabrication artifacts) between the CAD model and the volumetric dataset. The\ncomparison metrics are classified as either geometry-driven comparison techniques or visual-driven comparison techniques.\n\nThe locally adaptive marching cubes algorithm is a modification of the marching cubes algorithm where instead of a global iso-value, each grid point has its own iso-value. This defines an iso-value field, which modifies the case identification process in the algorithm. An iso-value field enables the algorithm to correct biases within the dataset like low frequency noise, contrast drifts, local density variations,\nand other artifacts introduced by the measurement process. It can also be used for blending between different iso-surfaces (e.g., skin, and bone in a medical dataset).\n\nComparative visualization techniques are proposed to carry out parameter studies for the special application area of dimensional measurement using industrial\n3D X-ray computed tomography. A dataset series is generated by scanning a specimen multiple times by varying parameters of the scanning device. A\nhigh resolution series is explored using a planar reformatting based visualization system. A multi-image view and an edge explorer are proposed for comparing and visualizing gray values and edges of several datasets simultaneously. For fast data retrieval and convenient usability the datasets are bricked and efficient data structures are used.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1171, "name": "malik-thesis-.png", "type": "image/png", "size": 256612, "path": "Publication:malik-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 607 ], "date_end": "2009-12", "date_start": "2005-12", "open_access": "yes", "pages": "105", "reviewer_2": [ 171 ], "rigorosum": "2009-12-11", "supervisor": [ 166 ], "research_areas": [], "keywords": [ "marching cubes", "feature peeling", "difference measurement", "multiple datasets", "parameter visualization", "comparative visualization", "industrial computed tomography", "volume visualization", "fabrication artifacts", "magnetic resonance imaging" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1171, "name": "malik-thesis-.png", "type": "image/png", "size": 256612, "path": "Publication:malik-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-:thumb{{size}}.png" }, { "description": null, "filetitle": "Chapter 2 - 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video.AVI", "type": "video/x-msvideo", "size": 15905826, "path": "Publication:malik-thesis", "preview_name": "malik-thesis-Chapter 3 - video:preview.png", "preview_type": "image/jpeg", "preview_size": 19767, "url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-Chapter 3 - video.AVI", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-Chapter 3 - video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-Chapter 3 - video:video.mp4" }, { "description": null, "filetitle": "Chapter 4 - video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 640, "preview_image_height": 480, "name": "malik-thesis-Chapter 4 - video.wmv", "type": "text/plain", "size": 22912644, "path": "Publication:malik-thesis", "preview_name": "malik-thesis-Chapter 4 - video:preview.png", "preview_type": "image/jpeg", "preview_size": 20616, "url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-Chapter 4 - video.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-Chapter 4 - video:thumb{{size}}.png" }, { "description": null, "filetitle": "Chapter 5 - video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1024, "preview_image_height": 768, "name": "malik-thesis-Chapter 5 - video.avi", "type": "video/x-msvideo", "size": 64452474, "path": "Publication:malik-thesis", "preview_name": "malik-thesis-Chapter 5 - video:preview.png", "preview_type": "image/jpeg", "preview_size": 30401, "url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-Chapter 5 - video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-Chapter 5 - video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-Chapter 5 - video:video.mp4" }, { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "malik-thesis-Thesis.pdf", "type": "application/pdf", "size": 98829317, "path": "Publication:malik-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/", "__class": "Publication" }, { "id": "Reiter_2009_IXIA", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Improvement of X-Ray image acquisition using a GPU based 3DCT simulation tool", "date": "2009-05", "abstract": "This paper presents a simulation tool for industrial X-Ray computed tomography (CT) systems which is able to predict the results of real measurements. Such a prediction helps the technician in measurement technology to minimize artefacts by using optimal measurement parameters and therefore it helps to get more accurate results. The presented simulation software offers an implementation for CPU’s and GPU’s. The performance difference between these implementa-tions is shown, for a specific test part. Furthermore a parameter variation has been carried out, to illustrate the influence of the acquisition settings. We use a multi-image view tool to compare and evaluate the acquired dataset series which contains CT data gained with different X-Ray source voltages and a different number of projections.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 323, "image_height": 323, "name": "Reiter_2009_IXIA-image.png", "type": "image/png", "size": 68719, "path": "Publication:Reiter_2009_IXIA", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Reiter_2009_IXIA/Reiter_2009_IXIA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Reiter_2009_IXIA/Reiter_2009_IXIA-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 789, 607, 611, 790, 166, 791, 613 ], "booktitle": "International Conference on Quality Control by Artificial Vision", "date_from": "2009-05-27", "date_to": "2009-05-29", "lecturer": [ 789 ], "location": "Wels, Austria", "note": "not peer reviewed, will appear", "research_areas": [ "VisMat" ], "keywords": [ "Computed tomography", "CT simulation", "Industrial X-Ray Imaging" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 323, "image_height": 323, "name": "Reiter_2009_IXIA-image.png", "type": "image/png", "size": 68719, "path": "Publication:Reiter_2009_IXIA", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Reiter_2009_IXIA/Reiter_2009_IXIA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Reiter_2009_IXIA/Reiter_2009_IXIA-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Reiter_2009_IXIA-Paper.pdf", "type": "application/pdf", "size": 454943, "path": "Publication:Reiter_2009_IXIA", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Reiter_2009_IXIA/Reiter_2009_IXIA-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Reiter_2009_IXIA/Reiter_2009_IXIA-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Reiter_2009_IXIA/", "__class": "Publication" }, { "id": "glanznig-2009-LAMC", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Locally Adaptive Marching Cubes through Iso-value Variation", "date": "2009-02", "abstract": "We present a locally adaptive marching cubes algorithm. It is a modification of the marching cubes algorithm where instead of a global iso-value each grid point has its own iso-value. This defines an iso-value field, which modifies the case identification process in the algorithm. The marching cubes algorithm uses linear interpolation to compute intersections of the surface with the cell edges. Our modification computes the intersection of two general line segments, because there is no longer a constant iso-value at each cube vertex. An iso-value field enables the algorithm to correct biases within the dataset like low frequency noise, contrast drifts, local density variations and other artefacts introduced by the measurement process. It can also be used for blending between different isosurfaces (e.g., skin, veins and bone in a medical dataset).", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 614, "image_height": 482, "name": "glanznig-2009-LAMC-image.jpg", "type": "image/jpeg", "size": 79226, "path": "Publication:glanznig-2009-LAMC", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/glanznig-2009-LAMC/glanznig-2009-LAMC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/glanznig-2009-LAMC/glanznig-2009-LAMC-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 788, 607, 166 ], "booktitle": "Proceedings of the International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision", "date_from": "2009-02-02", "date_to": "2009-02-05", "editor": "Vaclav Skala", "isbn": "978-80-86943-93-0", "lecturer": [ 788 ], "location": "Plzen, Tschechien", "pages_from": "33", "pages_to": "40", "research_areas": [], "keywords": [ "isosurface correction", "iso-value field", "contouring", "marching cubes", "blending between isosurfaces" ], "weblinks": [], "files": [ { "description": "", "filetitle": "Full paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "glanznig-2009-LAMC-Full paper.pdf", "type": "application/pdf", "size": 1729759, "path": "Publication:glanznig-2009-LAMC", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/glanznig-2009-LAMC/glanznig-2009-LAMC-Full paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/glanznig-2009-LAMC/glanznig-2009-LAMC-Full paper:thumb{{size}}.png" }, { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 614, "image_height": 482, "name": "glanznig-2009-LAMC-image.jpg", "type": "image/jpeg", "size": 79226, "path": "Publication:glanznig-2009-LAMC", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/glanznig-2009-LAMC/glanznig-2009-LAMC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/glanznig-2009-LAMC/glanznig-2009-LAMC-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "glanznig-2009-LAMC-paper.pdf", "type": "application/pdf", "size": 1692310, "path": "Publication:glanznig-2009-LAMC", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/glanznig-2009-LAMC/glanznig-2009-LAMC-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/glanznig-2009-LAMC/glanznig-2009-LAMC-paper:thumb{{size}}.png" }, { "description": "", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 640, "preview_image_height": 480, "name": "glanznig-2009-LAMC-video.wmv", "type": "text/plain", "size": 22912644, "path": "Publication:glanznig-2009-LAMC", "preview_name": "glanznig-2009-LAMC-video:preview.png", "preview_type": "image/jpeg", "preview_size": 20616, "url": "https://www.cg.tuwien.ac.at/research/publications/2009/glanznig-2009-LAMC/glanznig-2009-LAMC-video.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/glanznig-2009-LAMC/glanznig-2009-LAMC-video:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/glanznig-2009-LAMC/", "__class": "Publication" }, { "id": "malik-2009-CVFA", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Computation and Visualization of Fabrication Artifacts", "date": "2009-02", "abstract": "This paper proposes a novel technique to measure fabrication artifacts through direct comparison of a reference surface model with the corresponding industrial CT volume. Our technique uses the information from the surface model to locate corresponding points in the CT dataset. We then compute various comparison metrics to measure differences (fabrication artifacts) between the two datasets. The differences are presented to the user both visually as well as quantitatively. Our comparison techniques are divided into two groups, namely geometry-driven comparison techniques and visual-driven comparison techniques. 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