[ { "id": "gall-2025-marv", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/223667", "title": "MARV: Multiview Augmented Reality Visualisation for Exploring Rich Material Data", "date": "2025-09", "abstract": "Rich material data is complex, large and heterogeneous, integrating primary and secondary non-destructive testing data for spatial, spatio-temporal, as well as high-dimensional data analyses. Currently, materials experts mainly rely on conventional desktop-based systems using 2D visualisation techniques, which render respective analyses a time-consuming and mentally demanding challenge. MARV is a novel immersive visual analytics system, which makes analyses of such data more effective and engaging in an augmented reality setting. For this purpose, MARV includes three newly designed visualisation techniques: MDD Glyphs with a Skewness Kurtosis Mapper, Temporal Evolution Tracker, and Chrono Bins, facilitating interactive exploration and comparison of multidimensional distributions of attribute data from multiple time steps. A qualitative evaluation conducted with materials experts in a real-world case study demonstrates the benefits of the proposed visualisation techniques. This evaluation revealed that combining spatial and abstract data in an immersive environment improves their analytical capabilities and facilitates the identification of patterns, anomalies, as well as changes over time.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 1355, 1354, 166, 611 ], "articleno": "e70150", "doi": "10.1111/cgf.70150", "issn": "1467-8659", "journal": "Computer Graphics Forum", "number": "6", "pages": "15", "publisher": "WILEY", "volume": "44", "research_areas": [ "VisMat", "VR" ], "keywords": [ "virtual environments", "augmented reality", "immersive analytics", "scientific visualisation", "visualization", "visual analytics" ], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/gall-2025-marv/", "__class": "Publication" }, { "id": "heim-2024-accustripes", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/197495", "title": "AccuStripes: Visual exploration and comparison of univariate data distributions using color and binning", "date": "2024-04", "abstract": "Understanding and analyzing univariate distributions of data in terms of their shapes as well as their specific characteristics, regarding gaps, spikes, or outliers, is crucial in many scientific disciplines. In this paper, we propose a design space composed of the visual channels position and color for representing accumulated distributions. The designs are a mixture of color-coded stripes with density lines. The width and coloring of the stripes is based on the applied binning technique. In a crowd-sourced experiment we explore a subspace, called the AccuStripes (i.e., “accumulated stripes”) design space, consisting of nine representations. These AccuStripes designs integrate three composition strategies (color only, overlay, filled curve) with three binning techniques, one uniform (UB) and two adaptive methods, namely Bayesian Blocks (BB) and Jenks’ Natural Breaks (NB). We evaluate the accuracy, efficiency, and confidence ratings of the nine AccuStripes designs for structural estimation and comparison tasks. Across all study tasks, the overlay composition was found to be most accurate and preferred by observers. Furthermore, the results demonstrate that while no binning method performed best in both identification and comparison, detection of structures using adaptive binning was the most accurate one. For validation we compared the best AccuStripes’ design, i.e., the overlay composition, to line charts. Our results show that the AccuStripes’ design outperformed the line charts in accuracy for all study tasks.", "authors_et_al": false, "substitute": null, "main_image": { "description": "AccuStripes - Graphical Abstract", "filetitle": "accuStripes", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1333, "image_height": 428, "name": "heim-2024-accustripes-accuStripes.png", "type": "image/png", "size": 366335, "path": "Publication:heim-2024-accustripes", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/heim-2024-accustripes/heim-2024-accustripes-accuStripes.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/heim-2024-accustripes/heim-2024-accustripes-accuStripes:thumb{{size}}.png" }, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 1354, 1355, 1110, 166, 611 ], "articleno": "103906", "doi": "10.1016/j.cag.2024.103906", "issn": "1873-7684", "journal": "COMPUTERS & GRAPHICS-UK", "publisher": "PERGAMON-ELSEVIER SCIENCE LTD", "volume": "119", "research_areas": [ "InfoVis" ], "keywords": [ "Adaptive binning", "Crowd-sourced experiment", "Univariate data distributions", "Visual analysis" ], "weblinks": [ { "href": "https://www.sciencedirect.com/science/article/pii/S0097849324000414", "caption": "paper", "description": null, "main_file": 1 } ], "files": [ { "description": "AccuStripes - Graphical Abstract", "filetitle": "accuStripes", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1333, "image_height": 428, "name": "heim-2024-accustripes-accuStripes.png", "type": "image/png", "size": 366335, "path": "Publication:heim-2024-accustripes", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/heim-2024-accustripes/heim-2024-accustripes-accuStripes.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/heim-2024-accustripes/heim-2024-accustripes-accuStripes:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/heim-2024-accustripes/", "__class": "Publication" }, { "id": "Gall2021", "type_id": "inproceedings", "tu_id": 300119, "repositum_id": "20.500.12708/58609", "title": "ImNDT: Immersive Workspace for the Analysis of Multidimensional Material Data From Non-Destructive Testing", "date": "2021-12-08", "abstract": "An analysis of large multidimensional volumetric data as generated by non-destructive testing (NDT) techniques, e.g., X-ray computed tomography (XCT), can hardly be evaluated using standard 2D visualization techniques on desktop monitors. The analysis of fiber-reinforced polymers (FRPs) is currently a time-consuming and cognitively demanding task, as FRPs have a complex spatial structure, consisting of several hundred thousand fibers, each having more than twenty different extracted features. This paper presents ImNDT, a novel visualization system, which offers material experts an immersive exploration of multidimensional secondary data of FRPs. Our system is based on a virtual reality (VR) head-mounted device (HMD) to enable fluid and natural explorations through embodied navigation, the avoidance of menus, and manual mode switching. We developed immersive visualization and interaction methods tailored to the characterization of FRPs, such as a Model in Miniature, a similarity network, and a histo-book. An evaluation of our techniques with domain experts showed advantages in discovering structural patterns and similarities. Especially novices can strongly benefit from our intuitive representation and spatial rendering.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 530, "image_height": 372, "name": "Gall2021-Image.JPG", "type": "image/jpeg", "size": 41905, "path": "Publication:Gall2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gall2021/Gall2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gall2021/Gall2021-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1355, 166, 611 ], "booktitle": "Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology", "cfp": { "name": "CfP VRST 2021.pdf", "type": "application/pdf", "error": "0", "size": "94330", "orig_name": "CfP VRST 2021.pdf", "ext": "pdf" }, "doi": "10.1145/3489849.3489851", "event": "27th ACM Symposium on Virtual Reality Software and Technology", "open_access": "yes", "pages": "11", "pages_from": "1", "pages_to": "11", "publisher": "ACM Press", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 530, "image_height": 372, "name": "Gall2021-Image.JPG", "type": "image/jpeg", "size": 41905, "path": "Publication:Gall2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gall2021/Gall2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gall2021/Gall2021-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Gall2021-Paper.pdf", "type": "application/pdf", "size": 5992354, "path": "Publication:Gall2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gall2021/Gall2021-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gall2021/Gall2021-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gall2021/", "__class": "Publication" }, { "id": "Heim_2021", "type_id": "journalpaper_notalk", "tu_id": 300188, "repositum_id": "20.500.12708/138542", "title": "CoSi: Visual Comparison of Similarities in High-Dimensional Data Ensembles", "date": "2021-10-10", "abstract": "Comparative analysis of multivariate datasets, e.g. of advanced materials regarding the characteristics of internal structures (fibers, pores, etc.), is of crucial importance in various scientific disciplines. Currently domain experts in materials science mostly rely on sequential comparison of data using juxtaposition. Our work assists domain experts to perform detailed comparative analyses of large ensemble data in materials science applications. For this purpose, we developed a comparative visualization framework, that includes a tabular overview and three detailed visualization techniques to provide a holistic view on the similarities in the ensemble. We demonstrate the applicability of our framework on two specific usage scenarios and verify its techniques using a qualitative user study with 12 material experts. The insights gained from our work represent a significant advancement in the field of comparative material analysis of high-dimensional data. Our framework provides experts with a novel perspective on the data and eliminates the need for time-consuming sequential exploration of numerical data.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 765, "image_height": 399, "name": "Heim_2021-Image.JPG", "type": "image/jpeg", "size": 69697, "path": "Publication:Heim_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heim_2021/Heim_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heim_2021/Heim_2021-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1354, 166, 611 ], "doi": "CoSi: Visual Comparison of Similarities in High-Dimensional Data Ensembles", "first_published": "2021-10-10", "journal": "VMV: Vision, Modeling, and Visualization", "open_access": "yes", "pages_from": "1", "pages_to": "8", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 765, "image_height": 399, "name": "Heim_2021-Image.JPG", "type": "image/jpeg", "size": 69697, "path": "Publication:Heim_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heim_2021/Heim_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heim_2021/Heim_2021-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Heim_2021-Paper.pdf", "type": "application/pdf", "size": 926914, "path": "Publication:Heim_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heim_2021/Heim_2021-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heim_2021/Heim_2021-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heim_2021/", "__class": "Publication" }, { "id": "Heinzl2021", "type_id": "habilthesis", "tu_id": null, "repositum_id": null, "title": "Visualization and Analysis of X-ray Computed Tomography Data", "date": "2021-07-16", "abstract": "Visualization and analysis of primary and secondary X-ray computed tomography (XCT) data has become highly attractive for boosting research endeavors in the materials science domain. On the one hand, XCT allows to generate detailed and cumulative data of the specimens under investigation\nin a non-destructive way. On the other hand, through the conception, the development, and the implementation of novel, tailored analysis and visualization techniques, in-depth investigations of complex material systems turned into reality, e.g., in the form of interactive visualization of\nspatial and quantitative data, uncertainty quantification and visualization, comparative visualization, ensemble analysis and visualization, visual parameter space analysis, and many others.\nVisual analysis of XCT data enables a detailed understanding of the internal structures and the characteristics of materials and thus facilitates studies on a multitude of phenomena, at multiple scales, in different dimensions, or even using different modalities. This was simply impossible\nbefore. This habilitation thesis presents contributions to computer science in terms of novel methodsand techniques as well as respective algorithms and data structures, which are advancing visual analysis and visualization for enabling insights into XCT data on material systems. The introduced\nmethods and techniques focus on three distinct technical areas of visual analysis and visualization of XCT data. For each area, the problem statements, important research questions to be solved as well as the contributions of the habilitation candidate are discussed:\n1. Interactive visualization of spatial and quantitative data: Visualization and analysis techniques are introduced in this thesis for exploring, encoding, connecting, abstracting\nelaborating, reconfiguring, filtering, and finally selecting in \"rich\" XCT data. To reveal insights into complex objects, MObjects (i.e., mean objects) is discussed as a novel aggregation and exploration technique, which computes average volumetric representations from selections of individual objects of interest. To analyze various of these mean objects and to compare them with regards to their individual characteristics, visual analysis techniques as presented in FiberScout facilitate a detailed exploration of primary spatial data together with derived quantitative data (i.e., secondary data).\n2. Visual parameter space analysis (vPSA): The contributions towards vPSA focus on concepts for exploring and analyzing the space of possible parameter combinations of algorithms, models, and data processing pipelines as well as their effects on the ensemble of results. The presented methods and techniques visually guide users in finding adequate\ninput parameter sets, leading to optimal output results. In particular, the vPSA of segmentation and reconstruction algorithms is investigated. Similarity Metrics are introduced for comparing features as well as their characteristics.\n3. Comparative visualization and ensemble analysis: The comparison of larger sets of ensemble members as generated by vPSA is difficult, tedious, and error-prone, which is often\nexacerbated by subtle differences in the individual members. Here, techniques are presented to study the differences between multiple results regarding their visual representation as well as their characteristics. Dynamic Volume Lines is a novel technique for the visual analysis and comparison of large sets of 3D volumes using linearization methods combined with interactive data exploration. This technique is accompanied by a comparative visualization in the spatial domain to establish a link between the abstracted data and real world representations.\nFinally, in terms of visualization theory and modeling, this thesis abstracts the characteristics of visual parameter space analysis in a holistic conceptual framework. It also classifies and frames the novel area of visual computing in materials science, identifying research gaps within this\ndomain.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 472, "image_height": 326, "name": "Heinzl2021-image.JPG", "type": "image/jpeg", "size": 32717, "path": "Publication:Heinzl2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heinzl2021/Heinzl2021-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heinzl2021/Heinzl2021-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 611 ], "date_end": "2021-07-16", "date_start": "2010-01-01", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "HABILITATION THESIS", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Heinzl2021-HABILITATION THESIS.pdf", "type": "application/pdf", "size": 26448758, "path": "Publication:Heinzl2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heinzl2021/Heinzl2021-HABILITATION THESIS.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heinzl2021/Heinzl2021-HABILITATION THESIS:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 472, "image_height": 326, "name": "Heinzl2021-image.JPG", "type": "image/jpeg", "size": 32717, "path": "Publication:Heinzl2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heinzl2021/Heinzl2021-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heinzl2021/Heinzl2021-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heinzl2021/", "__class": "Publication" }, { "id": "Weissenboeck_2019", "type_id": "journalpaper_notalk", "tu_id": 283895, "repositum_id": null, "title": "Dynamic Volume Lines: Visual Comparison of 3D Volumes through Space-filling Curves", "date": "2019-01", "abstract": "The comparison of many members of an ensemble is difficult, tedious, and error-prone, which is aggravated by often justsubtle differences. In this paper, we introduceDynamic Volume Linesfor the interactive visual analysis and comparison of sets of 3Dvolumes. Each volume is linearized along a Hilbert space-filling curve into a 1D Hilbert line plot, which depicts the intensities over theHilbert indices. We present a nonlinear scaling of these 1D Hilbert line plots based on the intensity variations in the ensemble of 3Dvolumes, which enables a more effective use of the available screen space. The nonlinear scaling builds the basis for our interactivevisualization techniques. An interactive histogram heatmap of the intensity frequencies serves as overview visualization. When zoomingin, the frequencies are replaced by detailed 1D Hilbert line plots and optional functional boxplots. To focus on important regions of thevolume ensemble, nonlinear scaling is incorporated into the plots. An interactive scaling widget depicts the local ensemble variations.Our brushing and linking interface reveals, for example, regions with a high ensemble variation by showing the affected voxels ina 3D spatial view. We show the applicability of our concepts using two case studies on ensembles of 3D volumes resulting fromtomographic reconstruction. In the first case study, we evaluate an artificial specimen from simulated industrial 3D X-ray computedtomography (XCT). In the second case study, a real-world XCT foam specimen is investigated. Our results show thatDynamic VolumeLinescan identify regions with high local intensity variations, allowing the user to draw conclusions, for example, about the choice ofreconstruction parameters. Furthermore, it is possible to detect ring artifacts in reconstructions volumes.I", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 148, "image_height": 141, "name": "Weissenboeck_2019-image.JPG", "type": "image/jpeg", "size": 15246, "path": "Publication:Weissenboeck_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019/Weissenboeck_2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019/Weissenboeck_2019-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1169, 1191, 166, 613, 611 ], "journal": "IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS", "number": "1", "open_access": "yes", "pages_from": "1040", "pages_to": "1049", "volume": "25", "research_areas": [ "BioVis" ], "keywords": [ "Ensemble data, comparative visualization, visual analysis, Hilbert curve, nonlinear scaling, X-ray computed tomography" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 148, "image_height": 141, "name": "Weissenboeck_2019-image.JPG", "type": "image/jpeg", "size": 15246, "path": "Publication:Weissenboeck_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019/Weissenboeck_2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019/Weissenboeck_2019-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Weissenboeck_2019-Paper.pdf", "type": "application/pdf", "size": 2185242, "path": "Publication:Weissenboeck_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019/Weissenboeck_2019-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019/Weissenboeck_2019-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019/", "__class": "Publication" }, { "id": "heinzl-2018-ct-book", "type_id": "inbook", "tu_id": null, "repositum_id": null, "title": "Processing, Analysis and Visualization of CT Data in Industrial X-Ray Computed Tomography", "date": "2018", "abstract": "In an almost inexhaustible multitude of possibilities, CT allows to inspect highly complex systems and materials. Compared to other testing techniques CT provides results in a quick way: It is nondestructive and does not interfere with the specimen, it allows non-touching characterizations and what is most important CT allows to characterize hidden or internal features. However, CT would not have reached its current status in engineering without the achievements and possibilities in data processing. Only through processing, analysis and visualization of CT data, detailed insights into previously unachievable analyses are facilitated. Novel means of data analysis and visualization illustrate highly complex problems by means of clear and easy to understand renderings. In this chapter, we explore various aspects starting from the generalized data analysis pipeline, aspects of processing, analysis and visualization for metrology, nondestructive testing as well as specialized analyses.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 611, 1170, 571 ], "booktitle": "Processing, Analysis and Visualization of CT Data", "pages_from": "99", "pages_to": "142", "publisher": "Springer", "research_areas": [ "VisMat" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/heinzl-2018-ct-book/", "__class": "Publication" }, { "id": "rao-2017-dc", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Damage characterization in SFRP using X-ray computed tomography after application of incremental and interrupted in situ quasi static tensile loading", "date": "2017-02", "abstract": "The use of short fibre reinforced polymers (SFRP) is increasing steadily in automotive and aerospace industries due to its mechanical properties and light weight. The mechanical and physical properties of SFRP depend on the geometrical characterestics of the reinforcing material. Under tensile stress many defects are induced in SFRP composites. X-ray computed tomography (XCT) is a non-destructive method for damage characterization of SFRP. It helps us to understand the material behaviour under different intermediate stress conditions and gauge the strength of the material. This paper aims to study the evolution of various damages in SFRP composite material. The composite consists of a polyamide matrix and 30 wt. % of short glass fibres. Sheets with two types of fibre orientation (0° and 90°) were chosen relative to the flow direction. The damages were induced after application of pre-determined tensile loads in a quasi-static method using an in situ tensile testing device.The tensile force was applied using controlled displacement inside the in situ device. Damages were analysed after every step of force application using XCT at the resolution of 4.5 µm3 voxel size. The workflow based on automatic fibre extraction followed by automated defect detection and classification was used to retrieve quantitative results of the damage evolution. The detected defects were analysed and classified into four types: 1) fibre pull-outs, 2) fibre fractures, 3) matrix fractures and 4) fibre/matrix debonding. The increase in tensile force shows changes in the number and volume of the defects. The classification of defects at every step after applying force helps to understand evolution of damage mechanisms in the stressed region.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1421, 1170, 790, 571, 611 ], "booktitle": "Proceedings of 7th Conference on Industrial Computed Tomography , Leuven , Belgium (iCT 2017)", "lecturer": [ 1421 ], "research_areas": [], "keywords": [], "weblinks": [ { "href": "http://www.ndt.net/?id=20838", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "rao-2017-dc-paper.pdf", "type": "application/pdf", "size": 1132321, "path": "Publication:rao-2017-dc", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rao-2017-dc/rao-2017-dc-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/rao-2017-dc/rao-2017-dc-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rao-2017-dc/", "__class": "Publication" }, { "id": "amirkhanov-2017-cffet", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Comparison of Final Fracture Extraction Techniques for Interrupted In situ Tensile Tests of Glass Fiber Reinforced Polymers", "date": "2017-02", "abstract": "To develop and optimize of advanced composite materials such as glass fiber reinforced polymers (GFRPs) for a specific application area is an important topic. To inspect mechanical properties of GFRPs, material engineers use interrupted in situ tensile tests. During these tests, a test specimen is scanned multiple times in an industrial computed tomography (CT) scanner under various loads, starting from no load until the final fracture of the specimen. In this work we focus on the final step of the interrupted in situ tensile test, which is scanned when the specimen is completely losing its structural integrity in the final fracture zone. The defects occurring in the subsequent loading stages merge and ultimately form the final fracture. For this reason, conventional techniques tend to generate error prone final fracture regions or surfaces and thus require more advanced algorithms for extraction. The main contribution of this paper is found in the comparison of different techniques for extracting the final fracture. In the comparison we outline advantages and drawbacks of the presented techniques relative to each other.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1170, 790, 571, 611, 166 ], "booktitle": "Proceedings of 7th Conference on Industrial Computed Tomography , Leuven , Belgium (iCT 2017) ", "lecturer": [ 1170 ], "research_areas": [], "keywords": [], "weblinks": [ { "href": "http://www.ndt.net/?id=20873", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "amirkhanov-2017-cffet-paper.pdf", "type": "application/pdf", "size": 723780, "path": "Publication:amirkhanov-2017-cffet", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/amirkhanov-2017-cffet/amirkhanov-2017-cffet-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/amirkhanov-2017-cffet/amirkhanov-2017-cffet-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/amirkhanov-2017-cffet/", "__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": "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": "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": "Red_Andreas_2015_FFT", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Fuzzy feature tracking", "date": "2015-12", "abstract": "In situ analysis is becoming increasingly important in the evaluation of existing as well as novel materials and components. In this domain, specialists require answers on questions such as: How does a process change internal and external structures of a component? or How do the internal features evolve?In this work, we present a novel integrated visual analysis tool to evaluate series of X-ray Computed Tomography (XCT) data. We therefore process volume datasets of a series of XCT scans, which non-destructively cover the evolution of a process by in situ scans. After the extraction of individual features, a feature tracking algorithm is applied to detect changes of features throughout the series as events. We distinguish between creation, continuation, split, merge and dissipation events. As an explicit tracking is not always possible, we introduce the computation of a Tracking Uncertainty. We visualize the data together with the determined events in multiple linked-views, each emphasizing individual aspects of the 4D-XCT dataset series: A Volume Player and a 3D Data View show the spatial feature information, whereas the global overview of the feature evolution is visualized in the Event Explorer. The Event Explorer allows for interactive exploration and selection of the events of interest. The selection is further used as basis to calculate a Fuzzy Tracking Graph visualizing the global evolution of the features over the whole series.We finally demonstrate the results and advantages of the proposed tool using various real world applications, such as a wood shrinkage analysis and an AlSiC alloy under thermal load. Graphical abstractDisplay Omitted HighlightsWe calculate a Tracking Uncertainty in order to find correlated features.The Event Explorer shows a global overview of events and feature properties.The Fuzzy Tracking Graph is used to track features through all time-steps.The Volume Player shows control elements to traverse the steps of a dataset series.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1054, 1170, 613, 166, 611 ], "journal": "Computers and Graphics", "number": "PB", "pages_from": "177", "pages_to": "184", "volume": "53", "research_areas": [ "VisMat" ], "keywords": [], "weblinks": [ { "href": "http://dl.acm.org/citation.cfm?id=2852897", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Red_Andreas_2015_FFT/", "__class": "Publication" }, { "id": "Froehler_Berhnard_2015_ESM", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Multimodal Visualization and Analysis of Spectral and XCT Data", "date": "2015-04-09", "abstract": "An increasing number of industrial applications demand a comprehensive analysis of both structural and chemical composition. Typically, non-destructive testing techniques focus on either structural or chemical characterization but do not deliver both. 3D X-Ray Computed Tomography (XCT) scans are well-suited for determining the internal and external structure of an object at high resolution. The attenuation value it delivers can however be the same or very similar for different materials. For a detailed chemical analysis XCT is therefore combined with spectral characterization techniques such as K-Edge Absorptiometry or X-ray Fluorescence Spectroscopy. In this paper, we are extending a previously introduced framework for visualization and analysis of specimens scanned with these two modalities in multiple ways: For better understanding the dependencies between the spectral energy levels, we propose Spectral Similarity Maps. Spectral Functional Boxplots visualize the statistical distribution of the spectral data. The Spectrum Explor-er improves the analysis of specimens of unknown composition. We demonstrate the usefulness of our techniques on several use cases.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1191, 817, 613, 166, 611 ], "date_from": "2015-04-08", "date_to": "2015-04-09", "event": " 9. Forschungsforum der Österreichischen Fachhochschulen ", "issn": "2411-5428", "journal": "Computer Graphic Forum", "lecturer": [ 1191 ], "location": "FH OÖ Campus Hagenberg", "note": "appeared in June 2014", "number": "3", "pages_from": "91", "pages_to": "100", "volume": "33", "research_areas": [ "VisMat" ], "keywords": [], "weblinks": [ { "href": "http://dl.acm.org/citation.cfm?id=2771505", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Froehler_Berhnard_2015_ESM/", "__class": "Publication" }, { "id": "Groeller_2014_UPS", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Guest editorial—Uncertainty and parameter space analysis in visualization", "date": "2014-06", "abstract": "Within the past decades visualization advanced to a powerful means of exploring and analyzing data. Recent developments in both hard- and software contributed to previously unthinkable evaluations and visualizations of data with strongly increasing sizes and levels of complexity.\n\nProviding just insight into available data of a problem seems not to be sufficient anymore: Uncertainty and parameter space analyses in visualization are becoming more prevalent and may be found in astronomic, (bio)-medical, industrial, and engineering applications. The major goal is to find out, at which stage of the pipeline - from data acquisition to the final rendering of the output image - how much uncertainty is introduced and consequently how the desired result (e.g., a dimensional measurement feature) is affected. Therefore effective methods and techniques are required by domain specialists, which help to understand how data is generated, how reliable is the generated data, and where and why data is uncertain.\n\nFurthermore, as the problems to investigate are becoming increasingly complex, also finding suitable algorithms providing the desired solution tends to be more difficult. Additional questions may arise, e.g., how does a slight parameter change modify the result, how stable is a parameter, in which range is a parameter stable or which parameter set is optimal for a specific problem. Metaphorically speaking, an algorithm for solving a problem may be seen as finding a path through some rugged terrain (the core problem) ranging from the high grounds of theory to the haunted swamps of heuristics. There are many different paths through this terrain with different levels of comfort, length, and stability. Finding all possible paths corresponds in our case to doing an analysis of all possible parameters of a problem solving algorithm, which yields a typically multi-dimensional parameter space. This parameter space allows for an analysis of the quality and stability of a specific parameter set. In many cases of conventional visualization approaches the issues of uncertainty and parameter space analyses are neglected. For a long time, uncertainty - if visualized at all - used to be depicted as blurred data. But in most cases the uncertainty in the base data is not considered at all and just the quantities of interest are calculated. And even to calculate these quantities of interest, too often an empirically found parameter set is used to parameterize the underlying algorithms without exploring its sensitivity to changes and without exploring the whole parameter space to find the global or a local optimum.\n\nThis tutorial aims to open minds and to look at our data and the parameter sets of our algorithms with a healthy skepticism. In the tutorial we combine uncertainty visualization and parameter space analyses which we believe is essential for the acceptance and applicability of future algorithms and techniques. The tutorial provides six sessions starting with an overview of uncertainty visualization including a historical perspective, uncertainty modeling and statistical visualization. The second part of the tutorial will be dedicated to structural uncertainty, parameter space analysis, industrial applications of uncertainty visualization and an outlook in this domain. ", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 611, 161, 166 ], "journal": "Computer & Graphics", "pages_from": "A1", "pages_to": "A2", "volume": "41", "research_areas": [ "VisMat" ], "keywords": [], "weblinks": [ { "href": "http://www.sciencedirect.com/science/article/pii/S0097849314000375", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_UPS/", "__class": "Publication" }, { "id": "amirkhanov-2014-ama", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "InSpectr: Multi-Modal Exploration, Visualization, and Analysis of Spectral Data", "date": "2014-06", "abstract": "This paper addresses the increasing demand in industry for methods to analyze and visualize multimodal data involving a spectral modality. Two data modalities are used: high-resolution X-ray computed tomography (XCT) for structural characterization and low-resolution X-ray fluorescence (XRF) spectral data for elemental decomposition. We present InSpectr, an integrated tool for the interactive exploration and visual analysis of multimodal, multiscalar data. The tool has been designed around a set of tasks identified by domain experts in the fields of XCT and XRF. It supports registered single scalar and spectral datasets optionally coupled with element maps and reference spectra. InSpectr is instantiating various linked views for the integration of spatial and non-spatial information to provide insight into an industrial component’s structural and material composition: views with volume renderings of composite and individual 3D element maps visualize global material composition; transfer functions defined directly on the spectral data and overlaid pie-chart glyphs show elemental composition in 2D slice-views; a representative aggregated spectrum and spectra density histograms are introduced to provide a global overview in the spectral view. Spectral magic lenses, spectrum probing and elemental composition probing of points using a pie-chart view and a periodic table view aid the local material composition analysis. Two datasets are investigated to outline the usefulness of the presented techniques: a 3D virtually created phantom with a brass metal alloy and a real-world 2D water phantom with insertions of gold, barium, and gadolinium. Additionally a detailed user evaluation of the results is provided.", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1629, "image_height": 712, "name": "amirkhanov-2014-ama-image.jpg", "type": "image/jpeg", "size": 192070, "path": "Publication:amirkhanov-2014-ama", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 817, 1191, 613, 166, 611 ], "date_from": "2014-06-09", "date_to": "2014-06-13", "event": "Euro Vis 2014", "journal": "Computer Graphics Forum", "lecturer": [ 1191 ], "location": "Swansea, UK", "note": "Article first published online: 12 JUL 2014", "number": "3", "pages_from": "91", "pages_to": "100", "volume": "33", "research_areas": [ "VisMat" ], "keywords": [ "multi-modal data", "XRF", "industrial computed tomography", "linked views", "spectral data" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12365/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "fast forward", "filetitle": "_fast forward", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "amirkhanov-2014-ama-_fast forward.mp4", "type": "video/mp4", "size": 2410313, "path": "Publication:amirkhanov-2014-ama", "preview_name": "amirkhanov-2014-ama-_fast forward:preview.png", "preview_type": "image/jpeg", "preview_size": 21892, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-_fast forward.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-_fast forward:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-_fast forward:video.mp4" }, { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1629, "image_height": 712, "name": "amirkhanov-2014-ama-image.jpg", "type": "image/jpeg", "size": 192070, "path": "Publication:amirkhanov-2014-ama", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-image:thumb{{size}}.png" }, { "description": "slides", "filetitle": "slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "amirkhanov-2014-ama-slides.pptx", "type": "application/zip", "size": 18578088, "path": "Publication:amirkhanov-2014-ama", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-slides.pptx", "thumb_image_sizes": [] }, { "description": "video", "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "amirkhanov-2014-ama-video.wmv", "type": "application/octet-stream", "size": 15167834, "path": "Publication:amirkhanov-2014-ama", "preview_name": "amirkhanov-2014-ama-video:preview.png", "preview_type": "image/jpeg", "preview_size": 51865, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-video.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-video:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/", "__class": "Publication" }, { "id": "weissenboeck-2014", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "FiberScout: An Interactive Tool for Exploring and Analyzing Fiber Reinforced Polymers", "date": "2014-03", "abstract": "Advanced composites such as fiber reinforced polymers are promising candidate materials for future components as they allow integrating the continuously rising demands of industry regarding costeffectiveness, function-orientation, integration and weight. The most important structures of fiber reinforced polymers are the individual fibers, as their characteristics (stiffness, strength, ductility, durability, etc.) to a large extent determine the properties of the final component. The main contribution of this paper is the introduction of a new system for interactive exploration and visual analysis of fiber properties in X-ray computed tomography data of fiber reinforced polymers. The presented tool uses parallel coordinates to define and configure initial fiber classes. Using a scatter plot matrix linked to the parallel coordinates the initial classification may be refined. This allows to analyze hidden relationships between individual fiber properties. 2D and 3D views depict the resulting fiber classifications. By using polar plots an intuitive rendering of the fiber orientation distribution is provided. In addition, two modules of higher abstraction are proposed: The Blob visualization creates a hull around fibers with similar characteristics. The fiber metadata visualization allows to calculate overlays for 2D and 3D views containing regional information of particular material characteristics. The proposed system has been evaluated by two groups of domain experts. Applying the presented concepts the user feedback shows that the domain experts are now able to efficiently perform tasks as classification of fibers, visualization of fiber lengths and orientations, and visualization of fiber regions. The insights gained can be forwarded to the design office as well as to material development and simulation, in order to speed up the development of novel composite components.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2992, "image_height": 874, "name": "weissenboeck-2014-teaser.jpg", "type": "image/jpeg", "size": 815566, "path": "Publication:weissenboeck-2014", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1169, 817, 1124, 1054, 1170, 166, 613, 611 ], "booktitle": "Proceedings of 2014 IEEE Pacific Visualization Symposium (PacificVis) (2014)", "date_from": "2014-03-04", "date_to": "2014-03-07", "isbn": "978-1-4799-2874-3 ", "lecturer": [ 1169 ], "location": "Yokohama", "pages_from": "153", "pages_to": "160", "publisher": "IEEE Computer Society", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "pdf", "filetitle": " paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "weissenboeck-2014- paper.pdf", "type": "application/pdf", "size": 5644418, "path": "Publication:weissenboeck-2014", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014- paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014- paper:thumb{{size}}.png" }, { "description": "pptx", "filetitle": " presentation", "main_file": true, "use_in_gallery": false, "access": "public", "name": "weissenboeck-2014- 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"video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014- submitted video:video.mp4" }, { "description": "", "filetitle": "blob ext video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1920, "preview_image_height": 1080, "name": "weissenboeck-2014-blob ext video.mp4", "type": "video/mp4", "size": 17872730, "path": "Publication:weissenboeck-2014", "preview_name": "weissenboeck-2014-blob ext video:preview.png", "preview_type": "image/jpeg", "preview_size": 41258, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-blob ext video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-blob ext video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-blob ext video:video.mp4" 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1920, "preview_image_height": 1080, "name": "weissenboeck-2014-classification video.mp4", "type": "video/mp4", "size": 12653318, "path": "Publication:weissenboeck-2014", "preview_name": "weissenboeck-2014-classification video:preview.png", "preview_type": "image/jpeg", "preview_size": 37077, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-classification video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-classification video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-classification video:video.mp4" }, { "description": "", "filetitle": "metadata video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1920, "preview_image_height": 1080, "name": "weissenboeck-2014-metadata video.mp4", "type": "video/mp4", "size": 11050531, "path": "Publication:weissenboeck-2014", "preview_name": "weissenboeck-2014-metadata video:preview.png", "preview_type": "image/jpeg", "preview_size": 34123, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-metadata video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-metadata video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-metadata video:video.mp4" }, { "description": "", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2992, "image_height": 874, "name": "weissenboeck-2014-teaser.jpg", "type": "image/jpeg", "size": 815566, "path": "Publication:weissenboeck-2014", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/", "__class": "Publication" }, { "id": "Groeller_Eduard_2014_UCT", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Uncertainty in CT Metrology: Visualizations for Exploration and Analysis of Geometric Tolerances", "date": "2014-02", "abstract": "Industrial 3D X-ray computed tomography (3DXCT) is increasingly applied as a technique for metrology applications. In contrast to comventional metrology tools such as coordinate measurement\nmachines (CMMs). 3DXCT only estimates the exact position of the specimen’s surface and is subjected to a specific set of artifact types. These factors result in uncertainty that is present in the data. Previous work by Amirkhanov et. al [2] presented a tool prototype that is taking such uncertainty into account when measuring geometric tolerances such as straightness, circularity, or flatness.\nIn this paper we extend the previous work with two more geometric tolerance types: cylindricity and angularity. We provide methods and tools for visualization, inspection, and analysis of these tolerances. For the cylindricity tolerance we employ neighboring profiles visualization, box-plot overview, and interactive 3D view. We evaluate applicability and usefulness our methods on a new TP03 data set, and present results and new potential use cases.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1500, "image_height": 800, "name": "Groeller_Eduard_2014_UCT-.jpg", "type": "image/jpeg", "size": 190059, "path": "Publication:Groeller_Eduard_2014_UCT", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_UCT/Groeller_Eduard_2014_UCT-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_UCT/Groeller_Eduard_2014_UCT-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 817, 1191, 789, 613, 166, 611 ], "booktitle": "Proceedings of 5th Conference on Industrial Computed Tomography (iCT Conference 2014)", "date_from": "2014-02-25", "date_to": "2014-02-28", "event": "iCT Conference 2014", "issn": "978-3-8440-2557-6", "journal": "Proceedings of iCT 2014", "lecturer": [ 817 ], "location": "Wels, Austria", "pages_from": "189", "pages_to": "195", "research_areas": [ "VisMat" ], "keywords": [ "metrology", "level-of-details", "uncertainty visualization", "Industrial 3D computed tomography" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1500, "image_height": 800, "name": "Groeller_Eduard_2014_UCT-.jpg", "type": "image/jpeg", "size": 190059, "path": "Publication:Groeller_Eduard_2014_UCT", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_UCT/Groeller_Eduard_2014_UCT-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_UCT/Groeller_Eduard_2014_UCT-:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Groeller_Eduard_2014_UCT-Paper.pdf", "type": "application/pdf", "size": 1698956, "path": "Publication:Groeller_Eduard_2014_UCT", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_UCT/Groeller_Eduard_2014_UCT-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_UCT/Groeller_Eduard_2014_UCT-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_UCT/", "__class": "Publication" }, { "id": "Groeller_Eduard_2014_THS", "type_id": "inbook", "tu_id": 234826, "repositum_id": null, "title": "The Haunted Swamps of Heuristics: Uncertainty in Problem Solving", "date": "2014", "abstract": "In scientific visualization the key task of research is the provision of insight into a problem. Finding the solution to a problem may be seen as finding a path through some rugged terrain which contains mountains, chasms, swamps, and few flatlands. This path—an algorithm discovered by the researcher—helps users to easily move around this unknown area. If this way is a wide road paved with stones it will be used for a long time by many travelers. However, a narrow footpath leading through deep forests and deadly swamps will attract only a few adventure seekers. There are many different paths with different levels of comfort, length, and stability, which are uncertain during the research process. Finding a systematic way to deal with this uncertainty can greatly assist the search for a safe path which is in our case the development of a suitable visualization algorithm for a specific problem. In this work we will analyze the sources of uncertainty in heuristically solving visualization problems and will propose directions to handle these uncertainties.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1459, "image_height": 1100, "name": "Groeller_Eduard_2014_THS-.jpg", "type": "image/jpeg", "size": 142333, "path": "Publication:Groeller_Eduard_2014_THS", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_THS/Groeller_Eduard_2014_THS-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_THS/Groeller_Eduard_2014_THS-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 817, 161, 611, 166 ], "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", "note": "Chapter 5", "pages_from": "51", "pages_to": "60", "publisher": "Springer London", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1459, "image_height": 1100, "name": "Groeller_Eduard_2014_THS-.jpg", "type": "image/jpeg", "size": 142333, "path": "Publication:Groeller_Eduard_2014_THS", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_THS/Groeller_Eduard_2014_THS-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_THS/Groeller_Eduard_2014_THS-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_THS/", "__class": "Publication" }, { "id": "reh-2013", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "MObjects - A Novel Method for the Visualization and Interactive Exploration of Defects in Industrial XCT Data", "date": "2013-12", "abstract": "This paper describes an advanced visualization method for the analysis of defects in industrial 3D X-Ray Computed Tomography (XCT) data. We present a novel way to explore a high number of individual objects in a dataset, e.g., pores, inclusions, particles, fibers, and cracks demonstrated on the special application area of pore extraction in carbon fiber reinforced polymers (CFRP). After calculating the individual object properties volume, dimensions and shape factors, all objects are clustered into a mean object (MObject). The resulting MObject parameter space can be explored interactively. To do so, we introduce the visualization of mean object sets (MObject Sets) in a radial and a parallel arrangement. Each MObject may be split up into sub-classes by selecting a specific property, e.g., volume or shape factor, and the desired number of classes. Applying this interactive selection iteratively leads to the intended classifications and visualizations of MObjects along the selected analysis path. Hereby the given different scaling factors of the MObjects down the analysis path are visualized through a visual linking approach. Furthermore the representative MObjects are exported as volumetric datasets to serve as input for successive calculations and simulations. In the field of porosity determination in CFRP non-destructive testing practitioners use representative MObjects to improve ultrasonic calibration curves. Representative pores also serve as input for heat conduction simulations in active thermography. For a fast overview of the pore properties in a dataset we propose a local MObjects visualization in combination with a color-coded homogeneity visualization of cells. The advantages of our novel approach are demonstrated using real world CFRP specimens. The results were evaluated through a questionnaire in order to determine the practicality of the MObjects visualization as a supportive tool for domain specialists.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1444, "image_height": 810, "name": "reh-2013-.jpg", "type": "image/jpeg", "size": 410157, "path": "Publication:reh-2013", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1054, 1166, 613, 166, 611 ], "date_from": "2013-10-13", "date_to": "2013-10-18", "event": "IEEE Scientific Visualization 2013", "journal": "IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE Scientific Visualization 2013)", "lecturer": [ 1054 ], "location": "Atlanta, Georgia, USA", "number": "12", "pages_from": "2906", "pages_to": "2915", "volume": "19", "research_areas": [ "VisMat" ], "keywords": [ "porosity", "carbon fiber reinforced polymers", "parameter space analysis", "MObjects", "3D X-ray computed tomography" ], "weblinks": [ { "href": "http://www.computer.org/csdl/trans/tg/2013/12/ttg2013122906-abs.html", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": " paper", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1444, "preview_image_height": 810, "name": "reh-2013- paper.pdf", "type": "application/pdf", "size": 5699027, "path": "Publication:reh-2013", "preview_name": "reh-2013- paper:preview.png", "preview_type": "image/jpeg", "preview_size": 410157, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013- paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013- paper:thumb{{size}}.png" }, { "description": null, "filetitle": " video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1024, "preview_image_height": 768, "name": "reh-2013- video.avi", "type": "video/x-msvideo", "size": 12766740, "path": "Publication:reh-2013", "preview_name": "reh-2013- video:preview.png", "preview_type": "image/jpeg", "preview_size": 25845, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013- video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013- video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013- video:video.mp4" }, { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1444, "image_height": 810, "name": "reh-2013-.jpg", "type": "image/jpeg", "size": 410157, "path": "Publication:reh-2013", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013-:thumb{{size}}.png" }, { "description": null, "filetitle": "evaluation questionnaire", "main_file": true, "use_in_gallery": false, "access": "public", "name": "reh-2013-evaluation questionnaire.pdf", "type": "application/pdf", "size": 1489502, "path": "Publication:reh-2013", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013-evaluation questionnaire.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013-evaluation questionnaire:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/", "__class": "Publication" }, { "id": "amirkhanov_2013_AMA", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Fuzzy CT Metrology: Dimensional Measurements on Uncertain Data", "date": "2013-05", "abstract": "Metrology through geometric dimensioning and tolerancing is an important instrument applied for industrial manufacturing and quality control. Typically tactile or optical coordinate measurement machines (CMMs) are used to perform dimensional measurements. In recent years industrial 3D X-ray computed tomography (3DXCT) has been increasingly applied for metrology due to the development of XCT systems with higher accuracy and their ability to capture both internal and external structures of a specimen within one scan. Using 3DXCT the location of the specimen surface is estimated based on the scanned attenuation coefficients. As opposed to tactile or optical measurement techniques, the surface is not explicit and implies a certain positional uncertainty depending on artifacts and noise in the scan data and the used surface extraction algorithm. Moreover, conventional XCT measurement software does not consider uncertainty in the data. In this work we present techniques which account for uncertainty arising in the XCT metrology data flow. Our technique provides the domain experts with uncertainty visualizations, which extend the XCT metrology workflow on different levels. The developed techniques are integrated into a tool utilizing linked views, smart 3D tolerance tagging and plotting functionalities. The presented system is capable of visualizing the uncertainty of measurements on various levels-of-detail. Commonly known geometric tolerance indications are provided as smart tolerance tags. Finally, we incorporate the uncertainty of the data as a context in commonly used measurement plots. The proposed techniques provide an augmented insight into the reliability of geometric tolerances while maintaining the daily workflow of domain specialists, giving the user additional information on the nature of areas with high uncertainty. The presented techniques are evaluated based on domain experts feedback in collaboration with our company partners.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1592, "image_height": 1115, "name": "amirkhanov_2013_AMA-.jpg", "type": "image/jpeg", "size": 265325, "path": "Publication:amirkhanov_2013_AMA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/amirkhanov_2013_AMA/amirkhanov_2013_AMA-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/amirkhanov_2013_AMA/amirkhanov_2013_AMA-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 817, 611, 1118, 613, 166 ], "booktitle": "SCCG 2013 - 29th Proceedings Spring conference on Computer Graphics", "date_from": "2013-05-01", "date_to": "2013-05-03", "isbn": "978-80-223-3377-1", "lecturer": [ 817 ], "location": "Smolenice, Slovak Republic", "pages_from": "93", "pages_to": "101", "publisher": "Comenius university, Bratislava, Slovakia", "research_areas": [ "VisMat" ], "keywords": [ "metrology", "uncertainty visualization", "level-of-details", "industrial 3D computed tomography" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1592, "image_height": 1115, "name": "amirkhanov_2013_AMA-.jpg", "type": "image/jpeg", "size": 265325, "path": "Publication:amirkhanov_2013_AMA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/amirkhanov_2013_AMA/amirkhanov_2013_AMA-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/amirkhanov_2013_AMA/amirkhanov_2013_AMA-:thumb{{size}}.png" }, { "description": "Paper", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "amirkhanov_2013_AMA-paper.pdf", "type": "application/pdf", "size": 5557898, "path": "Publication:amirkhanov_2013_AMA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/amirkhanov_2013_AMA/amirkhanov_2013_AMA-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/amirkhanov_2013_AMA/amirkhanov_2013_AMA-paper:thumb{{size}}.png" }, { "description": "Presentation+materials", "filetitle": "presentation_with_materials", "main_file": true, "use_in_gallery": false, "access": "public", "name": "amirkhanov_2013_AMA-presentation_with_materials.7z", "type": "application/octet-stream", "size": 24043489, "path": "Publication:amirkhanov_2013_AMA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/amirkhanov_2013_AMA/amirkhanov_2013_AMA-presentation_with_materials.7z", "thumb_image_sizes": [] }, { "description": "Video", "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1440, "preview_image_height": 1080, "name": "amirkhanov_2013_AMA-video.wmv", "type": "application/octet-stream", "size": 26111151, "path": "Publication:amirkhanov_2013_AMA", "preview_name": "amirkhanov_2013_AMA-video:preview.png", "preview_type": "image/jpeg", "preview_size": 48101, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/amirkhanov_2013_AMA/amirkhanov_2013_AMA-video.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/amirkhanov_2013_AMA/amirkhanov_2013_AMA-video:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/amirkhanov_2013_AMA/", "__class": "Publication" }, { "id": "VisWeek-Tutorial-2012-Uncertainty", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "IEEE VisWeek 2012 Tutorial on Uncertainty and Parameter Space Analysis in Visualization", "date": "2012-10-15", "abstract": "Within the past decades visualization advanced to a powerful means of exploring and analyzing data. Recent developments in both hard- and software contributed to previously unthinkable evaluations and visualizations of data with strongly increasing sizes and levels of complexity.\r\n\r\nProviding just insight into available data of a problem seems not to be sufficient anymore: Uncertainty and parameter space analyses in visualization are becoming more prevalent and may be found in astronomic, (bio)-medical, industrial, and engineering applications. The major goal is to find out, at which stage of the pipeline - from data acquisition to the final rendering of the output image - how much uncertainty is introduced and consequently how the desired result (e.g., a dimensional measurement feature) is affected. Therefore effective methods and techniques are required by domain specialists, which help to understand how data is generated, how reliable is the generated data, and where and why data is uncertain.\r\n\r\nFurthermore, as the problems to investigate are becoming increasingly complex, also finding suitable algorithms providing the desired solution tends to be more difficult. Additional questions may arise, e.g., how does a slight parameter change modify the result, how stable is a parameter, in which range is a parameter stable or which parameter set is optimal for a specific problem. Metaphorically speaking, an algorithm for solving a problem may be seen as finding a path through some rugged terrain (the core problem) ranging from the high grounds of theory to the haunted swamps of heuristics. There are many different paths through this terrain with different levels of comfort, length, and stability. Finding all possible paths corresponds in our case to doing an analysis of all possible parameters of a problem solving algorithm, which yields a typically multi-dimensional parameter space. This parameter space allows for an analysis of the quality and stability of a specific parameter set.\r\nIn many cases of conventional visualization approaches the issues of uncertainty and parameter space analyses are neglected. For a long time, uncertainty - if visualized at all - used to be depicted as blurred data. But in most cases the uncertainty in the base data is not considered at all and just the quantities of interest are calculated. And even to calculate these quantities of interest, too often an empirically found parameter set is used to parameterize the underlying algorithms without exploring its sensitivity to changes and without exploring the whole parameter space to find the global or a local optimum.\r\n\r\nThis tutorial aims to open minds and to look at our data and the parameter sets of our algorithms with a healthy skepticism. In the tutorial we combine uncertainty visualization and parameter space analyses which we believe is essential for the acceptance and applicability of future algorithms and techniques. The tutorial provides six sessions starting with an overview of uncertainty visualization including a historical perspective, uncertainty modeling and statistical visualization. The second part of the tutorial will be dedicated to structural uncertainty, parameter space analysis, industrial applications of uncertainty visualization and an outlook in this domain.\r\n", "authors_et_al": false, "substitute": null, "main_image": { "description": "Uncertainty visualization", "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 773, "image_height": 776, "name": "VisWeek-Tutorial-2012-Uncertainty-Teaser.jpg", "type": "image/jpeg", "size": 156287, "path": "Publication:VisWeek-Tutorial-2012-Uncertainty", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/VisWeek-Tutorial-2012-Uncertainty/VisWeek-Tutorial-2012-Uncertainty-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/VisWeek-Tutorial-2012-Uncertainty/VisWeek-Tutorial-2012-Uncertainty-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 611, 161, 166, 650, 1026, 1027, 1028, 1029, 196 ], "event": "IEEE VisWeek", "lecturer": [ 611, 161, 166, 650, 1026, 1027, 1028, 1029, 196 ], "location": "Seattle, WA, USA", "research_areas": [], "keywords": [ "uncertainty visualization", "parameter space analysis" ], "weblinks": [], "files": [ { "description": "Uncertainty visualization", "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 773, "image_height": 776, "name": "VisWeek-Tutorial-2012-Uncertainty-Teaser.jpg", "type": "image/jpeg", "size": 156287, "path": "Publication:VisWeek-Tutorial-2012-Uncertainty", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/VisWeek-Tutorial-2012-Uncertainty/VisWeek-Tutorial-2012-Uncertainty-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/VisWeek-Tutorial-2012-Uncertainty/VisWeek-Tutorial-2012-Uncertainty-Teaser:thumb{{size}}.png" }, { "description": "Speaker biographies and abstract", "filetitle": "Tutorial overview", "main_file": false, "use_in_gallery": false, "access": "public", "name": "VisWeek-Tutorial-2012-Uncertainty-Tutorial overview.pdf", "type": "application/pdf", "size": 132769, "path": "Publication:VisWeek-Tutorial-2012-Uncertainty", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/VisWeek-Tutorial-2012-Uncertainty/VisWeek-Tutorial-2012-Uncertainty-Tutorial overview.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/VisWeek-Tutorial-2012-Uncertainty/VisWeek-Tutorial-2012-Uncertainty-Tutorial overview:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/VisWeek-Tutorial-2012-Uncertainty/", "__class": "Publication" }, { "id": "PMI_AR_2012", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Porosity Maps – Interactive Exploration and Visual Analysis of Porosity in Carbon Fiber Reinforced Polymers", "date": "2012-06", "abstract": "In this work a novel method for the characterization of porosity in carbon fiber reinforced polymers (CFRP) is presented. A visualization pipeline for the interactive exploration and visual analysis of CFRP specimens is developed to enhance the evaluation workflow for non-destructive testing (NDT) practitioners based on specified tasks. Besides quantitative porosity determination and the calculation of local pore properties, i.e., volume, surface, dimensions and shape factors, we employ a drill-down approach to explore pores in a CFRP specimen. We introduce Porosity Maps (PM), to allow for a fast porosity evaluation of the specimen. Pores are filtered in two stages. First a region of interest is selected in the porosity maps. Second, pores are filtered with parallel coordinates according to their local properties. Furthermore a histogram-based best-viewpoint widget was implemented to visualize the quality of viewpoints on a sphere. The advantages of our approach are demonstrated using real world CFRP specimens. We are able to show that our visualization-driven approach leads to a better evaluation of CFRP components than existing reference methods.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 470, "image_height": 470, "name": "PMI_AR_2012-.jpg", "type": "image/jpeg", "size": 203026, "path": "Publication:PMI_AR_2012", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/PMI_AR_2012/PMI_AR_2012-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/PMI_AR_2012/PMI_AR_2012-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1054, 1055, 1056, 166, 611 ], "date_from": "2012-06-05", "date_to": "2012-06-08", "event": "Euro Vis 2012", "journal": "Computer Graphics Forum,", "lecturer": [ 1054 ], "location": "Vienna, Austria", "number": "3", "pages_from": "1185", "pages_to": "1194", "volume": "31", "research_areas": [ "VisMat" ], "keywords": [ "Interaction Techniques", "Methodology and techniques" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2012.03111.x/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 470, "image_height": 470, "name": "PMI_AR_2012-.jpg", "type": "image/jpeg", "size": 203026, "path": "Publication:PMI_AR_2012", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/PMI_AR_2012/PMI_AR_2012-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/PMI_AR_2012/PMI_AR_2012-:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "PMI_AR_2012-paper.pdf", "type": "application/pdf", "size": 1332004, "path": "Publication:PMI_AR_2012", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/PMI_AR_2012/PMI_AR_2012-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/PMI_AR_2012/PMI_AR_2012-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/PMI_AR_2012/", "__class": "Publication" }, { "id": "amirkhanov-2011", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Projection-Based Metal-Artifact Reduction for Industrial 3D X-ray Computed Tomography", "date": "2011-12", "abstract": "Multi-material components, which contain metal parts surrounded by plastic materials, are highly interesting for inspection using industrial 3D X-ray computed tomography (3DXCT). Examples of this application scenario are connectors or housings with metal inlays in the electronic or automotive industry. A major problem of this type of components is the presence of metal, which causes streaking artifacts and distorts the surrounding media in the reconstructed volume. Streaking artifacts and dark-band artifacts around metal components significantly influence the material characterization (especially for the plastic components). In specific cases these artifacts even prevent a further analysis. Due to the nature and the different characteristics of artifacts, the development of an efficient artifact-reduction technique in reconstruction-space is rather complicated. In this paper we present a projection-space pipeline for metal-artifacts reduction. The proposed technique first segments the metal in the spatial domain of the reconstructed volume in order to separate it from the other materials. Then metal parts are forward-projected on the set of projections in a way that metal-projection regions are treated as voids. Subsequently the voids, which are left by the removed metal, are interpolated in the 2D projections. Finally, the metal is inserted back into the reconstructed 3D volume during the fusion stage. We present a visual analysis tool, allowing for interactive parameter estimation of the metal segmentation. The results of the proposed artifact-reduction technique are demonstrated on a test part as well as on real world components. For these specimens we achieve a significant reduction of metal artifacts, allowing an enhanced material characterization.", "authors_et_al": false, "substitute": null, "main_image": { "description": "The plug specimen photo (left) and volume renderings before (center) and after (right) metal-artifact reduction.", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 7072, "image_height": 2034, "name": "amirkhanov-2011-teaser.png", "type": "image/png", "size": 2709550, "path": "Publication:amirkhanov-2011", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/amirkhanov-2011/amirkhanov-2011-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/amirkhanov-2011/amirkhanov-2011-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 817, 611, 789, 613, 166 ], "date_from": "2011-10-23", "date_to": "2011-10-28", "event": "IEEE VisWeek 2011", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 817 ], "location": "Providence, RI, USA", "number": "12", "pages_from": "2193", "pages_to": "2202", "volume": "17", "research_areas": [ "VisMat" ], "keywords": [ "Metal-artifact reduction", "multi-material components", "3D X-ray computed tomography", "visual analysis" ], "weblinks": [], "files": [ { "description": "Fast forward material", "filetitle": "fast forward", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1024, "preview_image_height": 640, "name": "amirkhanov-2011-fast forward.wmv", "type": "text/plain", "size": 5625746, "path": "Publication:amirkhanov-2011", "preview_name": "amirkhanov-2011-fast forward:preview.png", "preview_type": "image/jpeg", "preview_size": 26848, "url": "https://www.cg.tuwien.ac.at/research/publications/2011/amirkhanov-2011/amirkhanov-2011-fast forward.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/amirkhanov-2011/amirkhanov-2011-fast forward:thumb{{size}}.png" }, { "description": "Manuscript file", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "amirkhanov-2011-paper.pdf", "type": "application/pdf", "size": 7987981, "path": "Publication:amirkhanov-2011", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/amirkhanov-2011/amirkhanov-2011-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/amirkhanov-2011/amirkhanov-2011-paper:thumb{{size}}.png" }, { "description": "Presentation slides", "filetitle": "slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "amirkhanov-2011-slides.pptx", "type": "application/zip", "size": 5644806, "path": "Publication:amirkhanov-2011", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/amirkhanov-2011/amirkhanov-2011-slides.pptx", "thumb_image_sizes": [] }, { "description": "The plug specimen photo (left) and volume renderings before (center) and after (right) metal-artifact reduction.", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 7072, "image_height": 2034, "name": "amirkhanov-2011-teaser.png", "type": "image/png", "size": 2709550, "path": "Publication:amirkhanov-2011", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/amirkhanov-2011/amirkhanov-2011-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/amirkhanov-2011/amirkhanov-2011-teaser:thumb{{size}}.png" }, { "description": "Supplementary video material", "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 928, "preview_image_height": 696, "name": "amirkhanov-2011-video.wmv", "type": "text/plain", "size": 10292954, "path": "Publication:amirkhanov-2011", "preview_name": "amirkhanov-2011-video:preview.png", "preview_type": "image/jpeg", "preview_size": 30414, "url": "https://www.cg.tuwien.ac.at/research/publications/2011/amirkhanov-2011/amirkhanov-2011-video.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/amirkhanov-2011/amirkhanov-2011-video:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/amirkhanov-2011/", "__class": "Publication" }, { "id": "amirkhanov2010AMA", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visual Optimality and Stability Analysis of 3DCT Scan Positions", "date": "2010-10", "abstract": "Industrial cone-beam X-Ray computed tomography (CT) systems often face problems due to artifacts caused by a bad placement of the specimen on the rotary plate. This paper presents a visual-analysis tool for CT systems, which provides a simulation-based\npreview and estimates artifacts and deviations of a specimen’s placement using the corresponding 3D geometrical surface model as input. The presented tool identifies potentially good or bad placements of a specimen and regions of a specimen, which cause the major portion of artefacts. The tool can be used for a preliminary analysis of the specimen before CT scanning, in order to determine the optimal way of placing the object. The analysis includes: penetration lengths, placement stability and an investigation\nin Radon space. Novel visualization techniques are applied to the simulation data. A stability widget is presented for determining the placement parameters’ robustness. The performance and the comparison of results provided by the tool compared with real world data is demonstrated using two specimens.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 817, 611, 789, 166 ], "date_from": "2010-10-24", "date_to": "2010-10-29", "event": "VisWeek2010", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 817 ], "pages_from": "Page 1477 ", "pages_to": "1487", "research_areas": [ "VisMat" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper pdf", "main_file": true, "use_in_gallery": false, "access": "public", "name": "amirkhanov2010AMA-paper pdf.pdf", "type": "application/pdf", "size": 7941725, "path": "Publication:amirkhanov2010AMA", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/amirkhanov2010AMA/amirkhanov2010AMA-paper pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/amirkhanov2010AMA/amirkhanov2010AMA-paper pdf:thumb{{size}}.png" }, { "description": "Presentation slides", "filetitle": "presentation", "main_file": true, "use_in_gallery": false, "access": "public", "name": "amirkhanov2010AMA-presentation.ppt", "type": "", "size": 7224320, "path": "Publication:amirkhanov2010AMA", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/amirkhanov2010AMA/amirkhanov2010AMA-presentation.ppt", "thumb_image_sizes": [] }, { "description": "Video demonstration pf presented tool", "filetitle": "Video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 800, "preview_image_height": 600, "name": "amirkhanov2010AMA-Video.wmv", "type": "text/plain", "size": 8430138, "path": "Publication:amirkhanov2010AMA", "preview_name": "amirkhanov2010AMA-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 22757, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/amirkhanov2010AMA/amirkhanov2010AMA-Video.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/amirkhanov2010AMA/amirkhanov2010AMA-Video:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/amirkhanov2010AMA/", "__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": "heinzl-2008-thesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Analysis and Visualization of Industrial CT Data", "date": "2009-12", "abstract": "Industrial X-Ray 3D computed tomography (3DCT) is on the edge of\r\nadvancing from a non destructive testing method to a fully standardized\r\nmeans of dimensional measurement for every day industrial use. Currently\r\n3DCT has drawn attention especially in the area of first part inspections of\r\nnew components, mainly in order to overcome limitations and drawbacks\r\nof common methods. Yet an increasing number of companies is benefitting\r\nfrom industrial 3DCT and sporadically the first pioneers start using industrial\r\n3DCT for quality control in the production phase of a component. As\r\n3DCT is still a very young technology of industrial quality control, this\r\nmethod also faces severe problems, which seriously affect measurement\r\nresults. Some of the major drawbacks for quality control are the following:\r\nArtefacts modify the spatial greyvalues, generating artificial structures in\r\nthe datasets, which do not correspond to reality.\r\nDiscrete sampling introduces further irregularities due to the Nyquist-\r\nShannon sampling theorem.\r\nUncertainty information is missing when extracting dimensional measurement\r\nfeatures.\r\nSpecifications and limitations of the components and the special setup a\r\n3DCT constrain the best achievable measurement precision.\r\nThis thesis contributes to the state of the art by algorithmic evaluation\r\nof typical industrial tasks in the area of dimensional measurement using\r\n3DCT. The main focus lies in the development and implementation of novel\r\npipelines for everyday industrial use including comparisons to common\r\nmethods. Convenient and easy to understand means of visualization are evaluated and used to provide insight into the generated results. In particular\r\nthree pipelines are introduced, which cover some of the major aspects\r\nconcerning metrology using industrial 3DCT. The considered aspects\r\nare robust surface extraction, artefact reduction via dual energy CT, local\r\nsurface extraction of multi-material components, and statistical analysis\r\nof multi-material components. The generated results of each pipeline are\r\ndemonstrated and verified using test specimens as well as real world components.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1008, "image_height": 904, "name": "heinzl-2008-thesis-image.jpg", "type": "image/jpeg", "size": 96234, "path": "Publication:heinzl-2008-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/heinzl-2008-thesis/heinzl-2008-thesis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/heinzl-2008-thesis/heinzl-2008-thesis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 611 ], "co_supervisor": [ 693 ], "date_end": "2009-01", "date_start": "2005-07", "rigorosum": "2009-01-20", "supervisor": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1008, "image_height": 904, "name": "heinzl-2008-thesis-image.jpg", "type": "image/jpeg", "size": 96234, "path": "Publication:heinzl-2008-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/heinzl-2008-thesis/heinzl-2008-thesis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/heinzl-2008-thesis/heinzl-2008-thesis-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "heinzl-2008-thesis-paper.pdf", "type": "application/pdf", "size": 12274968, "path": "Publication:heinzl-2008-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/heinzl-2008-thesis/heinzl-2008-thesis-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/heinzl-2008-thesis/heinzl-2008-thesis-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "External" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/heinzl-2008-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": "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. The geometry-driven techniques provide an overview, while the visual-driven techniques can be used for a localized examination.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 513, "image_height": 513, "name": "malik-2009-CVFA-Image.png", "type": "image/png", "size": 279344, "path": "Publication:malik-2009-CVFA", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-2009-CVFA/malik-2009-CVFA-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-2009-CVFA/malik-2009-CVFA-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 607, 611, 166 ], "date_from": "2009-02-02", "date_to": "2009-02-05", "event": "WSCG", "issn": "Online: 1213-6964 (printed: 1213 – 6972)", "journal": "Journal of WSCG", "lecturer": [ 607 ], "location": "Plzen, Tschechien", "number": "1", "pages_from": "17", "pages_to": "24", "volume": "17", "research_areas": [ "VisMat" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 513, "image_height": 513, "name": "malik-2009-CVFA-Image.png", "type": "image/png", "size": 279344, "path": "Publication:malik-2009-CVFA", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-2009-CVFA/malik-2009-CVFA-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-2009-CVFA/malik-2009-CVFA-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "malik-2009-CVFA-Paper.pdf", "type": "application/pdf", "size": 3216823, "path": "Publication:malik-2009-CVFA", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-2009-CVFA/malik-2009-CVFA-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-2009-CVFA/malik-2009-CVFA-Paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 640, "preview_image_height": 480, "name": "malik-2009-CVFA-Video.avi", "type": "video/x-msvideo", "size": 10429288, "path": "Publication:malik-2009-CVFA", "preview_name": "malik-2009-CVFA-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 12931, "url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-2009-CVFA/malik-2009-CVFA-Video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-2009-CVFA/malik-2009-CVFA-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-2009-CVFA/malik-2009-CVFA-Video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-2009-CVFA/", "__class": "Publication" }, { "id": "TR-186-2-08-12", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Visual Exploration for Parameter Studies of Industrial CT Dataset Series", "date": "2008-12", "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~(ICT). A dataset series is generated by scanning a specimen multiple times by varying parameters of an industrial CT device. A high resolution series is explored using our multi-planar reformating (MPR) based exploration system. We present an evaluation system~(multi-image view) and an edge explorer for comparison and visualization of grey values and edges of several datasets simultaneously. Visualization results and quantitative data are displayed side by side. For fast data retrieval and convenient usability we use bricking of the datasets, and efficient data structures. Graphics hardware is used for interactive visualization. We studied the applicability of our proposed visualization techniques in collaboration with our company partners. 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"thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/heinzl-2008-sam/heinzl-2008-sam-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "heinzl-2008-sam-paper.pdf", "type": "application/pdf", "size": 1195541, "path": "Publication:heinzl-2008-sam", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/heinzl-2008-sam/heinzl-2008-sam-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/heinzl-2008-sam/heinzl-2008-sam-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/heinzl-2008-sam/", "__class": "Publication" }, { "id": "TR-186-2-08-06", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Variance Comparison for Volumetric Industrial CT Data", "date": "2008-04", "abstract": "This paper proposes a novel technique for the direct comparison of a surface model with the corresponding industrial CT volume. We do not require the generation of a mesh from the CT scan and instead perform comparison directly with the raw volume dataset. Our\r\ntechnique uses the information from the surface model to locate corresponding points in the CT dataset. We then compute various comparison metrics to perform distance analysis and normal analysis. The metrics are presented to the user both visually as well as quantitatively. The comparison techniques are divided into two groups namely geometry-driven comparison techniques and visual-driven comparison techniques. The geometry-driven techniques color code the datasets and render distance glyphs to provide an overview, while the visual-driven techniques can be used for a localized examination and for determining precise information about the deviation between the datasets.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 512, "image_height": 512, "name": "TR-186-2-08-06-.png", "type": "image/png", "size": 112477, "path": "Publication:TR-186-2-08-06", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-06/TR-186-2-08-06-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-06/TR-186-2-08-06-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 607, 611, 166 ], "number": "TR-186-2-08-06", "research_areas": [], "keywords": [ "Volume Rendering", "Uncertainty", "Variance Comparison", "Industrial CT" ], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 512, "image_height": 512, "name": "TR-186-2-08-06-.png", "type": "image/png", "size": 112477, "path": "Publication:TR-186-2-08-06", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-06/TR-186-2-08-06-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-06/TR-186-2-08-06-:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "TR-186-2-08-06-paper.pdf", "type": "application/pdf", "size": 3127153, "path": "Publication:TR-186-2-08-06", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-06/TR-186-2-08-06-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-06/TR-186-2-08-06-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-06/", "__class": "Publication" }, { "id": "TR-186-2-07-12", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Variance Comparison for Volumetric Industrial CT Data", "date": "2007-12", "abstract": "This paper proposes a novel technique for the direct comparison of a surface model with the corresponding industrial CT volume. We do not require the generation of a mesh from the CT scan and instead perform comparison directly with the raw volume dataset. Our technique uses the information from the surface model to locate corresponding points in the CT dataset. We then compute various comparison metrics to perform distance analysis and normal analysis. The metrics are presented to the user both visually as well as quantitatively. The comparison techniques are divided into two groups namely global comparison techniques and local comparison techniques. The global techniques color code the datasets to provide an overview, while the local techniques can be used for a localized examination and for determining precise information about the deviation between datasets.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 313, "image_height": 313, "name": "TR-186-2-07-12-image.PNG", "type": "image/png", "size": 130027, "path": "Publication:TR-186-2-07-12", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-12/TR-186-2-07-12-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-12/TR-186-2-07-12-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 607, 611, 166 ], "number": "TR-186-2-07-12", "research_areas": [], "keywords": [ "Comparison", 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"https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-12/TR-186-2-07-12-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-12/", "__class": "Publication" }, { "id": "heinzl-2007-sem", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Surface Extraction from Multi-Material Components for Metrology using Dual Energy CT", "date": "2007-11", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1054, "image_height": 1095, "name": "heinzl-2007-sem-.png", "type": "image/png", "size": 806035, "path": "Publication:heinzl-2007-sem", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/heinzl-2007-sem/heinzl-2007-sem-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": 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"https://www.cg.tuwien.ac.at/research/publications/2007/heinzl-2007-sem/heinzl-2007-sem-:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "heinzl-2007-sem-paper.pdf", "type": "application/pdf", "size": 6394292, "path": "Publication:heinzl-2007-sem", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/heinzl-2007-sem/heinzl-2007-sem-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/heinzl-2007-sem/heinzl-2007-sem-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/heinzl-2007-sem/", "__class": "Publication" }, { "id": "TR-186-2-07-06", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Surface Extraction from Multi-Material Components for Metrology using Dual Energy CT", "date": "2007-05", "abstract": "This paper describes a novel method for creating surface\r\nmodels of multi-material components using dual energy\r\ncomputed tomography (DECT). Application scenario\r\nfor the presented work is metrology and dimensional\r\nmeasurement of multi-material components in industrial\r\nhigh resolution 3D X-Ray computed tomography\r\n(3DCT). The basis of this method is the dual source\r\n/ dual exposure technology using the different X-Ray\r\nimaging modalities of a high precision micro-focus and\r\na high energy macro-focus X-Ray source.\r\nThe presented work aims at combining the advantages\r\nof both X-Ray modalities in order to facilitate dimensional\r\nmeasurement of multi-material components with\r\nhigh density material within low density material. We\r\npropose a pipeline model using image fusion and local\r\nsurface extraction technologies: A prefiltering step reduces\r\ndata inherent noise. For image fusion purposes\r\nthe datasets have to be registered to each other. In the fusion\r\nstep the benefits of each modality are combined. So\r\nthe structure of the specimen is taken from the low precision,\r\nblurry, high energy dataset while the sharp edges\r\nare adopted and fused into the resulting image from the\r\nhigh precision, crisp, low energy dataset. In the final\r\nstep a reliable surface model is calculated of the fused\r\ndataset, which locally adapts the surface model by moving\r\nsurface vertices in the direction of the corresponding\r\npoint normal to a position with maximum gradient magnitude.\r\nThe major contribution of this paper is the development\r\nof a specific workflow for dimensional measurement of multi-material industrial components from high resolution\r\nindustrial CT data. Several algorithms are extended\r\nto take two data sources with complementary strengths\r\nand weaknesses into account. The presented workflow\r\nis crucial for the following visual inspection of deviations.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 512, "image_height": 512, "name": "TR-186-2-07-06-.jpg", "type": "image/jpeg", "size": 108503, "path": "Publication:TR-186-2-07-06", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-06/TR-186-2-07-06-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-06/TR-186-2-07-06-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 611, 613, 166 ], "number": "TR-186-2-07-06", "research_areas": [], "keywords": [ "DECT image fusion", "local surface extraction", "metrology", "Dual Energy CT", "dimensional measurement", "variance comparison" ], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 512, "image_height": 512, "name": "TR-186-2-07-06-.jpg", "type": "image/jpeg", "size": 108503, "path": "Publication:TR-186-2-07-06", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-06/TR-186-2-07-06-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-06/TR-186-2-07-06-:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TR-186-2-07-06-paper.pdf", "type": "application/pdf", "size": 1805191, "path": "Publication:TR-186-2-07-06", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-06/TR-186-2-07-06-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-06/TR-186-2-07-06-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "PVG" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-06/", "__class": "Publication" }, { "id": "heinzl-2006-rep", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Reproducible Surface Extraction for Variance Comparison in 3D Computed Tomography", "date": "2006-09", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "jpg", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 418, "image_height": 154, "name": "heinzl-2006-rep-jpg.jpg", "type": "image/jpeg", "size": 26064, "path": "Publication:heinzl-2006-rep", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl-2006-rep/heinzl-2006-rep-jpg.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl-2006-rep/heinzl-2006-rep-jpg:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 611, 613, 166 ], "booktitle": "Proceedings of 9th European Congress on Non-Destructive Testing (ECNDT 2006)", "date_from": "2006-09-25", "date_to": "2006-09-29", "lecturer": [ 611 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "image", "filetitle": "jpg", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 418, "image_height": 154, "name": "heinzl-2006-rep-jpg.jpg", "type": "image/jpeg", "size": 26064, "path": "Publication:heinzl-2006-rep", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl-2006-rep/heinzl-2006-rep-jpg.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl-2006-rep/heinzl-2006-rep-jpg:thumb{{size}}.png" }, { "description": "paper", "filetitle": "pdf", "main_file": true, "use_in_gallery": false, "access": "public", "name": "heinzl-2006-rep-pdf.pdf", "type": "application/pdf", "size": 320742, "path": "Publication:heinzl-2006-rep", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl-2006-rep/heinzl-2006-rep-pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl-2006-rep/heinzl-2006-rep-pdf:thumb{{size}}.png" } ], "projects_workgroups": [ "PVG" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl-2006-rep/", "__class": "Publication" }, { "id": "heinzl_2006_RSDVCDM", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Robust Surface Detection for Variance Comparison and Dimensional Measurement", "date": "2006", "abstract": "This paper describes a robust method for creating surface models from volume datasets with distorted density\r\nvalues due to artefacts and noise. Application scenario for the presented work is variance comparison and\r\ndimensional measurement of homogeneous industrial components in industrial high resolution 3D computed\r\ntomography (3D-CT). We propose a pipeline which uses common 3D image processing filters for pre-processing\r\nand segmentation of 3D-CT datasets in order to create the surface model. In particular, a pre-filtering step\r\nreduces noise and artefacts without blurring edges in the dataset. A watershed filter is applied on the gradient\r\ninformation of the smoothed data to create a binary dataset. Finally the surface model is constructed, using\r\nconstrained elastic-surface nets to generate a smooth but feature preserving mesh of a binary volume. The major\r\ncontribution of this paper is the development of the specific processing pipeline for homogeneous industrial\r\ncomponents to handle large resolution data of industrial CT scanners. The pipeline is crucial for the following\r\nvisual inspection of deviations.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 251, "preview_image_height": 239, "name": "heinzl_2006_RSDVCDM-paper.pdf", "type": "application/pdf", "size": 1769811, "path": "Publication:heinzl_2006_RSDVCDM", "preview_name": "heinzl_2006_RSDVCDM-paper:preview.png", "preview_type": "image/jpeg", "preview_size": 44791, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl_2006_RSDVCDM/heinzl_2006_RSDVCDM-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl_2006_RSDVCDM/heinzl_2006_RSDVCDM-paper:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 611, 612, 613, 166 ], "booktitle": "Proceedings of Eurographics / IEEE VGTC Symposium on Visualization", "lecturer": [ 611 ], "pages_from": "75", "pages_to": "82", "publisher": "IEEE CS", "research_areas": [], "keywords": [ "Applications" ], "weblinks": [], "files": [ { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 251, "preview_image_height": 239, "name": "heinzl_2006_RSDVCDM-paper.pdf", "type": "application/pdf", "size": 1769811, "path": "Publication:heinzl_2006_RSDVCDM", "preview_name": "heinzl_2006_RSDVCDM-paper:preview.png", "preview_type": "image/jpeg", "preview_size": 44791, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl_2006_RSDVCDM/heinzl_2006_RSDVCDM-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl_2006_RSDVCDM/heinzl_2006_RSDVCDM-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "PVG" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl_2006_RSDVCDM/", "__class": "Publication" } ]