{"title":"Perceptually-Based Comparisons of Direct Volume Rendered Images","authors":"H. Wong, Huamin Qu, U. Wong, Zesheng Tang","doi":"10.1109/VIS.2005.77","DOIUrl":"https://doi.org/10.1109/VIS.2005.77","url":null,"abstract":"","PeriodicalId":91181,"journal":{"name":"Visualization : proceedings of the ... IEEE Conference on Visualization. IEEE Conference on Visualization","volume":"28 1","pages":"99"},"PeriodicalIF":0.0,"publicationDate":"2005-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79044845","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}
In this poster, we investigate how to achieve visualization in a pervasive visualization environment, especially on new platforms such as PDAs, cell phones, and other mobile devices that have very limited resources and usually are not considered appropriate platforms for visualization. We will use a clinic application as an example and our target application. In this system, patient data, such as CT and MRI, are stored in a central server in the hospital and physicians can access these data using a cell phone for a quick preview, a pocket PC or laptop for some initial diagnosis, and a powerful workstation for any further diagnosis.
{"title":"PSALM: A Data Model for Pervasive Visualization","authors":"Huamin Qu, Hong Zhou, Yingcai Wu","doi":"10.1109/VIS.2005.82","DOIUrl":"https://doi.org/10.1109/VIS.2005.82","url":null,"abstract":"In this poster, we investigate how to achieve visualization in a pervasive visualization environment, especially on new platforms such as PDAs, cell phones, and other mobile devices that have very limited resources and usually are not considered appropriate platforms for visualization. We will use a clinic application as an example and our target application. In this system, patient data, such as CT and MRI, are stored in a central server in the hospital and physicians can access these data using a cell phone for a quick preview, a pocket PC or laptop for some initial diagnosis, and a powerful workstation for any further diagnosis.","PeriodicalId":91181,"journal":{"name":"Visualization : proceedings of the ... IEEE Conference on Visualization. IEEE Conference on Visualization","volume":"23 1","pages":"116"},"PeriodicalIF":0.0,"publicationDate":"2005-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78518767","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":"A web-based visualization solution for very large 2D datasets","authors":"R. L. Maxwell, T. Gerya, D. Yuen","doi":"10.1109/VIS.2005.9","DOIUrl":"https://doi.org/10.1109/VIS.2005.9","url":null,"abstract":"","PeriodicalId":91181,"journal":{"name":"Visualization : proceedings of the ... IEEE Conference on Visualization. IEEE Conference on Visualization","volume":"53 1","pages":"102"},"PeriodicalIF":0.0,"publicationDate":"2005-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90843772","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}
D. Breen, R. Kirby, A. Lefohn, K. Museth, T. Preußer, G. Sapiro, R. Whitaker
ÐVector field visualization is an important topic in scientific visualization. Its aim is to graphically represent field data on two and three-dimensional domains and on surfaces in an intuitively understandable way. Here, a new approach based on anisotropic nonlinear diffusion is introduced. It enables an easy perception of vector field data and serves as an appropriate scale space method for the visualization of complicated flow pattern. The approach is closely related to nonlinear diffusion methods in image analysis where images are smoothed while still retaining and enhancing edges. Here, an initial noisy image intensity is smoothed along integral lines, whereas the image is sharpened in the orthogonal direction. The method is based on a continuous model and requires the solution of a parabolic PDE problem. It is discretized only in the final implementational step. Therefore, many important qualitative aspects can already be discussed on a continuous level. Applications are shown for flow fields in 2D and 3D, as well as for principal directions of curvature on general triangulated surfaces. Furthermore, the provisions for flow segmentation are outlined. Index TermsÐFlow visualization, multiscale, nonlinear diffusion, segmentation. æ 1 INTRODUCTION THE visualization of field data, especially of velocity fields from CFD computations, is one of the fundamental tasks in scientific visualization. A variety of different approaches has been presented. The simplest method of drawing vector plots at nodes of some overlaid regular grid in general produces visual clutter because of the typically different local scaling of the field in the spatial domain, which leads to disturbing multiple overlaps in certain regions, whereas, in other areas, small structures such as eddies cannot be resolved adequately. This gets even worse if tangential fields on highly curved surfaces are considered. The central goal is to come up with intuitively better receptible methods which give an overall, as well as a detailed, view on the flow patterns. Single particle lines only partially enlighten features of a complex flow field. Thus, we want to define a texture which represents the field globally on a 2D or 3D domain and on surfaces, respectively. Here, we confine ourselves to stationary fields. In the Euclidean case, we suppose v : ! IR for some domain IR, whereas, in the case of a manifoldM embedded in IR, we consider a tangential vector field v. We ask for a method generating stretched streamline type patterns which are aligned to the vector field v x. Furthermore, the possibility of successively coarsening this pattern is obviously a desirable property. Methods which are based on such a scale of spaces and enhance certain structures of images are well-known in image processing analysis. Actually, nonlinear diffusion allows the smoothing of gray or color images while retaining and enhancing edges [18]. Now, we set up a diffusion problem, with strong smoothing along in
另一方面，已知适当缩放的高斯核是热方程的基本解
{"title":"Level Set and PDE Methods for Visualization","authors":"D. Breen, R. Kirby, A. Lefohn, K. Museth, T. Preußer, G. Sapiro, R. Whitaker","doi":"10.1109/VIS.2005.65","DOIUrl":"https://doi.org/10.1109/VIS.2005.65","url":null,"abstract":"ÐVector field visualization is an important topic in scientific visualization. Its aim is to graphically represent field data on two and three-dimensional domains and on surfaces in an intuitively understandable way. Here, a new approach based on anisotropic nonlinear diffusion is introduced. It enables an easy perception of vector field data and serves as an appropriate scale space method for the visualization of complicated flow pattern. The approach is closely related to nonlinear diffusion methods in image analysis where images are smoothed while still retaining and enhancing edges. Here, an initial noisy image intensity is smoothed along integral lines, whereas the image is sharpened in the orthogonal direction. The method is based on a continuous model and requires the solution of a parabolic PDE problem. It is discretized only in the final implementational step. Therefore, many important qualitative aspects can already be discussed on a continuous level. Applications are shown for flow fields in 2D and 3D, as well as for principal directions of curvature on general triangulated surfaces. Furthermore, the provisions for flow segmentation are outlined. Index TermsÐFlow visualization, multiscale, nonlinear diffusion, segmentation. æ 1 INTRODUCTION THE visualization of field data, especially of velocity fields from CFD computations, is one of the fundamental tasks in scientific visualization. A variety of different approaches has been presented. The simplest method of drawing vector plots at nodes of some overlaid regular grid in general produces visual clutter because of the typically different local scaling of the field in the spatial domain, which leads to disturbing multiple overlaps in certain regions, whereas, in other areas, small structures such as eddies cannot be resolved adequately. This gets even worse if tangential fields on highly curved surfaces are considered. The central goal is to come up with intuitively better receptible methods which give an overall, as well as a detailed, view on the flow patterns. Single particle lines only partially enlighten features of a complex flow field. Thus, we want to define a texture which represents the field globally on a 2D or 3D domain and on surfaces, respectively. Here, we confine ourselves to stationary fields. In the Euclidean case, we suppose v : ! IR for some domain IR, whereas, in the case of a manifoldM embedded in IR, we consider a tangential vector field v. We ask for a method generating stretched streamline type patterns which are aligned to the vector field v\u0085x. Furthermore, the possibility of successively coarsening this pattern is obviously a desirable property. Methods which are based on such a scale of spaces and enhance certain structures of images are well-known in image processing analysis. Actually, nonlinear diffusion allows the smoothing of gray or color images while retaining and enhancing edges [18]. Now, we set up a diffusion problem, with strong smoothing along in","PeriodicalId":91181,"journal":{"name":"Visualization : proceedings of the ... IEEE Conference on Visualization. IEEE Conference on Visualization","volume":"16 1","pages":"125"},"PeriodicalIF":0.0,"publicationDate":"2005-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78505373","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}
Interactive exploration of huge tetrahedral meshes is required by many applications but the limitations of the current hardware do not allow for the full dataset to be rendered at interactive frame rates. We present a meshing framework that builds a multi resolution hierarchy for large tetrahedral meshes and enables to render these meshes interactively using a direct volume renderer based on projected tetrahedra as wall as a new point-based renderer. A preprocessing step simplifies the mesh into a binary vertex hierarchy which is used at run time to adapt the mesh to viewing parameters. A new way of how to split a vertex is presented that exploits the connectivity information of the current mesh as well as the vertex hierarchy.
{"title":"View-dependent Meshing And Rendering of Tetrahedral Meshes","authors":"Ralf Sondershaus, W. Straßer","doi":"10.1109/VIS.2005.111","DOIUrl":"https://doi.org/10.1109/VIS.2005.111","url":null,"abstract":"Interactive exploration of huge tetrahedral meshes is required by many applications but the limitations of the current hardware do not allow for the full dataset to be rendered at interactive frame rates. We present a meshing framework that builds a multi resolution hierarchy for large tetrahedral meshes and enables to render these meshes interactively using a direct volume renderer based on projected tetrahedra as wall as a new point-based renderer. A preprocessing step simplifies the mesh into a binary vertex hierarchy which is used at run time to adapt the mesh to viewing parameters. A new way of how to split a vertex is presented that exploits the connectivity information of the current mesh as well as the vertex hierarchy.","PeriodicalId":91181,"journal":{"name":"Visualization : proceedings of the ... IEEE Conference on Visualization. IEEE Conference on Visualization","volume":"1 1","pages":"107"},"PeriodicalIF":0.0,"publicationDate":"2005-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77397154","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}
E. Myers, P. Coppin, M. Wagner, Luisa Lu, W. McCloskey, D. Seneker, Kevin McCloskey
Using visualizations based on orbital data and imagery, the EventScope Remote Science Operations Tool allows scientists to explore a remote location and control a rover in that location. Scientists create a rover plan by sticking virtual pins in the visualization. This paradigm for exploration is being developed in conjunction with the Life in the Atacama Project at Carnegie Mellon University. CR
{"title":"The EventScope Remote Science Operations Tool: Using a Visualization of a Remote Location as an Interface for Robotic Exploration","authors":"E. Myers, P. Coppin, M. Wagner, Luisa Lu, W. McCloskey, D. Seneker, Kevin McCloskey","doi":"10.1109/VIS.2005.99","DOIUrl":"https://doi.org/10.1109/VIS.2005.99","url":null,"abstract":"Using visualizations based on orbital data and imagery, the EventScope Remote Science Operations Tool allows scientists to explore a remote location and control a rover in that location. Scientists create a rover plan by sticking virtual pins in the visualization. This paradigm for exploration is being developed in conjunction with the Life in the Atacama Project at Carnegie Mellon University. CR","PeriodicalId":91181,"journal":{"name":"Visualization : proceedings of the ... IEEE Conference on Visualization. IEEE Conference on Visualization","volume":"64 1","pages":"104"},"PeriodicalIF":0.0,"publicationDate":"2005-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80826240","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}
N. Cornea, Ulukbek Ibraev, D. Silver, P. Kantor, A. Shokoufandeh, J. Abrahamson, Sven J. Dickinson
{"title":"A Visualization Tool for fMRI Data Mining","authors":"N. Cornea, Ulukbek Ibraev, D. Silver, P. Kantor, A. Shokoufandeh, J. Abrahamson, Sven J. Dickinson","doi":"10.1109/VIS.2005.8","DOIUrl":"https://doi.org/10.1109/VIS.2005.8","url":null,"abstract":"","PeriodicalId":91181,"journal":{"name":"Visualization : proceedings of the ... IEEE Conference on Visualization. IEEE Conference on Visualization","volume":"22 1","pages":"93"},"PeriodicalIF":0.0,"publicationDate":"2005-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81802033","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}
This paper describes a simple image processing algorithm for identifying and smoothing cell membranes in tomographic reconstructions of electron micrographs of frozen bacteria.
本文介绍了一种简单的图像处理算法，用于识别和平滑冷冻细菌电子显微图像的层析重建细胞膜。
{"title":"Anisotropic Ellipsoidal Smoothing of Volume Data","authors":"B. Xue, N. Max, C. Siegerist","doi":"10.1109/VIS.2005.10","DOIUrl":"https://doi.org/10.1109/VIS.2005.10","url":null,"abstract":"This paper describes a simple image processing algorithm for identifying and smoothing cell membranes in tomographic reconstructions of electron micrographs of frozen bacteria.","PeriodicalId":91181,"journal":{"name":"Visualization : proceedings of the ... IEEE Conference on Visualization. IEEE Conference on Visualization","volume":"260 1","pages":"109"},"PeriodicalIF":0.0,"publicationDate":"2005-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77697390","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}
While inspired color design is an art, the principles that underlie good color design have their roots in human perception and a deep understanding of the color properties of different media. Color appearance modeling and color management systems have the potential to improve how color is used in computer-generated visualization. But, the primary focus of R&D in these areas is image reproduction. In this talk, I will try to show how illustrative color is both easier and harder than color in images, and will suggest R&D directions that might lead to robust methods for significantly improving both the function and aesthetics of color in visualization systems. Audience participation will be encouraged.
{"title":"Color in Information Display","authors":"M. Stone, Stonesoup Consulting","doi":"10.1201/b12887-14","DOIUrl":"https://doi.org/10.1201/b12887-14","url":null,"abstract":"While inspired color design is an art, the principles that underlie good color design have their roots in human perception and a deep understanding of the color properties of different media. Color appearance modeling and color management systems have the potential to improve how color is used in computer-generated visualization. But, the primary focus of R&D in these areas is image reproduction. In this talk, I will try to show how illustrative color is both easier and harder than color in images, and will suggest R&D directions that might lead to robust methods for significantly improving both the function and aesthetics of color in visualization systems. Audience participation will be encouraged.","PeriodicalId":91181,"journal":{"name":"Visualization : proceedings of the ... IEEE Conference on Visualization. IEEE Conference on Visualization","volume":"14 1","pages":"127"},"PeriodicalIF":0.0,"publicationDate":"2005-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84479361","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}
M. Mlejnek, Pierre Ermes, A. Vilanova, R. V. D. Rijt, H. Bosch, F. Gerritsen, E. Gröller
{"title":"Profile Flags: a Novel Metaphor for Probing of T2 Maps","authors":"M. Mlejnek, Pierre Ermes, A. Vilanova, R. V. D. Rijt, H. Bosch, F. Gerritsen, E. Gröller","doi":"10.1109/VIS.2005.81","DOIUrl":"https://doi.org/10.1109/VIS.2005.81","url":null,"abstract":"","PeriodicalId":91181,"journal":{"name":"Visualization : proceedings of the ... IEEE Conference on Visualization. IEEE Conference on Visualization","volume":"25 1","pages":"599-606"},"PeriodicalIF":0.0,"publicationDate":"2005-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90797121","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}
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