S. Bryson, D. Kenwright, Michael J. Gerald-Yamasaki
{"title":"FEL: the Field Encapsulation Library","authors":"S. Bryson, D. Kenwright, Michael J. Gerald-Yamasaki","doi":"10.1109/VISUAL.1996.568115","DOIUrl":"https://doi.org/10.1109/VISUAL.1996.568115","url":null,"abstract":"The paper describes the Field Encapsulation Library (FEL), which provides a grid independent application programmer's interface to gridded three dimensional field data. The C++ implementation of FEL is described, stressing the way in which the class hierarchy hides the underlying grid structure in a way that allows visualization algorithms to be written in a completely grid independent manner. Appropriately defined coordinate classes play an important role in providing this grid independence. High performance point location routines for data access are described and performance times are provided.","PeriodicalId":219748,"journal":{"name":"Proceedings of Seventh Annual IEEE Visualization '96","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115764108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. Munzner, D. Banks, G. Francis, A. Hanson, L. Jorgenson
{"title":"Mathematical Vkualization: Standing at the Crossroads","authors":"T. Munzner, D. Banks, G. Francis, A. Hanson, L. Jorgenson","doi":"10.1109/VISUAL.1996.568165","DOIUrl":"https://doi.org/10.1109/VISUAL.1996.568165","url":null,"abstract":"Proponents of computer-aided mathematical visualization argue that visualization can help build the intuition necessary to both propose theorems and understand and create proofs. Critics counter that the traditional pristine edifice of theorem-proof mathematics is in danger of being undermined by a dangerous lack of rigor. The acceptance, or lack thereof, of visualization as a legitimate part of mathematical inquiry has implications not only for mathematicians, but for entire visualization community. Among the questions this panel will address are:","PeriodicalId":219748,"journal":{"name":"Proceedings of Seventh Annual IEEE Visualization '96","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116788511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Contour blending using warp-guided distance field interpolation","authors":"D. Cohen-Or, D. Levin, Amira Solomovici","doi":"10.1109/VISUAL.1996.567812","DOIUrl":"https://doi.org/10.1109/VISUAL.1996.567812","url":null,"abstract":"Given (n-1)-dimensional parallel cross-sections of an n-dimensional body, one would like to reconstruct the n-dimensional body. The method based on Distance Field Interpolation (DFI) gives a robust solution to this problem in its ability to deal with any topology in any dimension. Still this method may give undesired solutions to the problem if the changes from one cross-section to the next are significant relative to the size of the details in the cross-sections. We consider the problem of solid reconstruction from contours, which can also be considered as a contour blending or contour morphing problem, where the third dimension is time. The method presented is based on interpolation of the distance field, guided by a warp function which is controlled by a set of corresponding anchor points. Some rules for defining a smooth least-distorting warp function are given. To reduce the distortion of the intermediate shapes, the warp function is decomposed into a rigid rotational part and an elastic part. The distance field interpolation method is modified so that the interpolation is guided by the warp function. The advantage of the new approach is that it is capable of blending between contours having different topological genus, and no correspondence between the geometric primitives should be established. The desired general correspondence is defined by the user in terms of a relatively small number of anchor points.","PeriodicalId":219748,"journal":{"name":"Proceedings of Seventh Annual IEEE Visualization '96","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124943609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Data level comparative visualization in aircraft design","authors":"J. Trapp, H. Pagendarm","doi":"10.1109/VISUAL.1996.568140","DOIUrl":"https://doi.org/10.1109/VISUAL.1996.568140","url":null,"abstract":"Comparative visualization has successfully been applied to a variety of fluid dynamic problems. Most applications rely on image level comparison such as experimental flow visualization versus computational flow imagery (CFI) which tries to simulate optical image acquisition in flow testing. When differences become difficult to distinguish or once a quantitative result is required, data level comparison provides powerful means to visualize data from multiple sources. Data level comparison and visualization turns out to be an essential tool in modern aircraft design projects. It is already successfully applied in the geometric preprocessing stage and the CFD analysis and will serve for comparison with experimental data as well.","PeriodicalId":219748,"journal":{"name":"Proceedings of Seventh Annual IEEE Visualization '96","volume":"29 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126146911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Case study: mantle convection visualization on the Cray T3D","authors":"J. Painter, H. Bunge, Y. Livnat","doi":"10.1109/VISUAL.1996.568144","DOIUrl":"https://doi.org/10.1109/VISUAL.1996.568144","url":null,"abstract":"The recent years have seen rapid advancement towards viewing the Earth as an integrated system. This means that we have come to understand the interdependence of the major planetary subsystems-atmosphere, biosphere, oceans and the deep earth interior-on a large range of time and length scales. One of the longest time scales of the planet is imposed by solid state convection within the silicate Earth mantle. Mantle convection modeling, and other earth science modeling efforts, now are producing simulation data on grids that are large enough to strain the memory and processing power of even the largest high-end graphics workstations. Another alternative is to use parallel visualization tools running on the massively parallel computers that generated the data. This is the approach that we have taken for the visualization of mantle convection simulation data.","PeriodicalId":219748,"journal":{"name":"Proceedings of Seventh Annual IEEE Visualization '96","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130342919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Real-time Accelerators for Volume Rendering","authors":"H. Pfister, G. Knittel, J. Hesser, J. Goble","doi":"10.1109/VISUAL.1996.568160","DOIUrl":"https://doi.org/10.1109/VISUAL.1996.568160","url":null,"abstract":"","PeriodicalId":219748,"journal":{"name":"Proceedings of Seventh Annual IEEE Visualization '96","volume":"85 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114002702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shao-Chiung Lu, A. B. Rebello, D. Cui, R. Yagel, R. A. Miller, G. Kinzel
{"title":"A visualization tool for mechanical design","authors":"Shao-Chiung Lu, A. B. Rebello, D. Cui, R. Yagel, R. A. Miller, G. Kinzel","doi":"10.1109/VISUAL.1996.568142","DOIUrl":"https://doi.org/10.1109/VISUAL.1996.568142","url":null,"abstract":"We present a new visualization approach to support design for manufacturing (DFM). This involves the correlation of manufacturing problems with the causative geometric characteristics. We then discuss the use of distance transform and 3-D thinning to extract these characteristics from a voxelized object. In contrast to current computer aided engineering (CAE) tools, our system is very efficient and simple to use. It does not require the skill and experience to generate and control a numerical mesh and interpret the results. The specifically tailored visualization system makes the results self-evident. Though the current domain is die casting, it could potentially be applied to many net shape processes.","PeriodicalId":219748,"journal":{"name":"Proceedings of Seventh Annual IEEE Visualization '96","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129162953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ed H. Chi, J. Riedl, E. Shoop, J. Carlis, E. Retzel, P. Barry
{"title":"Flexible information visualization of multivariate data from biological sequence similarity searches","authors":"Ed H. Chi, J. Riedl, E. Shoop, J. Carlis, E. Retzel, P. Barry","doi":"10.1109/VISUAL.1996.567796","DOIUrl":"https://doi.org/10.1109/VISUAL.1996.567796","url":null,"abstract":"Information visualization faces challenges presented by the need to represent abstract data and the relationships within the data. Previously, we presented a system for visualizing similarities between a single DNA sequence and a large database of other DNA sequences (E.H. Chi et al., 1995). Similarity algorithms generate similarity information in textual reports that can be hundreds or thousands of pages long. Our original system visualized the most important variables from these reports. However, the biologists we work with found this system so useful they requested visual representations of other variables. We present an enhanced system for interactive exploration of this multivariate data. We identify a larger set of useful variables in the information space. The new system involves more variables, so it focuses on exploring subsets of the data. We present an interactive system allowing mapping of different variables to different axes, incorporating animation using a time axis, and providing tools for viewing subsets of the data. Detail-on-demand is preserved by hyperlinks to the analysis reports. We present three case studies illustrating the use of these techniques. The combined technique of applying a time axis with a 3D scatter plot and query filters to visualization of biological sequence similarity data is both powerful and novel.","PeriodicalId":219748,"journal":{"name":"Proceedings of Seventh Annual IEEE Visualization '96","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115146255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Zuiderveld, P. V. Ooijen, John W. C. Chin-A-Woeng, P. Buijs, M. Olree, F. Post
{"title":"Clinical evaluation of interactive volume visualization","authors":"K. Zuiderveld, P. V. Ooijen, John W. C. Chin-A-Woeng, P. Buijs, M. Olree, F. Post","doi":"10.1109/VISUAL.1996.568134","DOIUrl":"https://doi.org/10.1109/VISUAL.1996.568134","url":null,"abstract":"The case study describes a system that allows the use of interactive volume rendering for routine clinical diagnosis. In this setup, a SGI RealityStation acts like a remote rendering system which is controlled by a user interface that was added to an existing clinical system. The paper describes some implementation aspects, including several system optimizations that were carried out in order to optimize rendering speed. Initial results are very promising; the authors present three examples of clinical findings that were made using this system. Because of the setup, clinicians are now much more aware of the possibilities that modern hardware offers for interactive volume visualization.","PeriodicalId":219748,"journal":{"name":"Proceedings of Seventh Annual IEEE Visualization '96","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133215886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Directional flow visualization of vector fields","authors":"Ed Boring, A. Pang","doi":"10.1109/VISUAL.1996.568139","DOIUrl":"https://doi.org/10.1109/VISUAL.1996.568139","url":null,"abstract":"The paper presents interactive flow visualization methods that highlight directional information in the flow field. An added benefit of the proposed methods is that they reduce the amount of data being displayed and hence reduce clutter. The main idea behind these methods is the use of light sources to select and highlight regions in the flow field with similar directions. Varying the lighting conditions, by moving the light source and/or adding more lights, emphasizes different vector directions, set of directions, and vectors within a specified angle of a particular direction. The methods are straight forward, computationally inexpensive, and can be combined with other techniques that use glyph representation and other flow geometry such as streamlines for feature visualization. The authors apply these methods to an analytic data set to help explain how they work, and then to a simulation data set to highlight flow reversals.","PeriodicalId":219748,"journal":{"name":"Proceedings of Seventh Annual IEEE Visualization '96","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133767478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}