We present the conformal magnifier, a novel interactive Focus+Context visualization technique to magnify a region of interest (ROI) using conformal mapping. Our framework allows the user to design an arbitrary magnifier to enlarge the features of interest while deforming part of the remaining areas without any cropping. By using conformal mapping, the ROI is magnified with minimal distortion, while the transition region is a smooth and continuous deformation between the focus and context regions. An interactive interface is designed for the user to select important features, design focus models of arbitrary shape and set deformation constraints to satisfy his/her specified requirements. We demonstrate the effectiveness, robustness and efficiency of our method using several applications: texts, maps, geographic images, data structures and multi-media visualization.
{"title":"Conformal Magnifier: A Focus+Context Technique with Minimal Distortion.","authors":"Xin Zhao, Wei Zeng, Xianfeng Gu, Arie Kaufman, Wei Xu, Klaus Mueller","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>We present the conformal magnifier, a novel interactive Focus+Context visualization technique to magnify a region of interest (ROI) using conformal mapping. Our framework allows the user to design an arbitrary magnifier to enlarge the features of interest while deforming part of the remaining areas without any cropping. By using conformal mapping, the ROI is magnified with minimal distortion, while the transition region is a smooth and continuous deformation between the focus and context regions. An interactive interface is designed for the user to select important features, design focus models of arbitrary shape and set deformation constraints to satisfy his/her specified requirements. We demonstrate the effectiveness, robustness and efficiency of our method using several applications: texts, maps, geographic images, data structures and multi-media visualization.</p>","PeriodicalId":91181,"journal":{"name":"Visualization : proceedings of the ... IEEE Conference on Visualization. IEEE Conference on Visualization","volume":"18 11","pages":"1928-1941"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4536825/pdf/nihms-211393.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33994668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We introduce a modified dendrogram (MD) (with sub-trees to represent the feature space clusters) and display it in continuous space for multi-dimensional transfer function (TF) design and modification. Such a TF for direct volume rendering often employs a multi-dimensional feature space. In an n-dimensional (nD) feature space, each voxel is described using n attributes and represented by a vector of n values. The MD reveals the hierarchical structure information of the high-dimensional feature space clusters. Using the MD user interface (UI), the user can design and modify the TF in 2D in an intuitive and informative manner instead of designing it directly in multi-dimensional space where it is complicated and harder to understand the relationship of the feature space vectors. In addition, we provide the capability to interactively change the granularity of the MD. The coarse-grained MD shows primarily the global information of the feature space while the fine-grained MD reveals the finer details, and the separation ability of the high-dimensional feature space is completely preserved in the finest granularity. With the so called multi-grained method, the user can efficiently create a TF using the coarse-grained MD, then fine tune it with the finer-grained MDs to improve the quality of the volume rendering. Furthermore, we propose a fast interactive hierarchical clustering (FIHC) algorithm for accelerating the MD computation and supporting the interactive multi-grained TF design. In the FIHC, the finest-grained MD is established by linking the feature space vectors, then the feature space vectors being the leaves of this tree are clustered using a hierarchical leaf clustering (HLC) algorithm forming a leaf vector hierarchical tree (LVHT). The granularity of the MD can be changed by setting the precision of the LVHT. Our method is independent on the type of the attributes and supports arbitrary-dimension feature space.
{"title":"Modified Dendrogram of High-dimensional Feature Space for Transfer Function Design.","authors":"Lei Wang, Xin Zhao, Arie Kaufman","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>We introduce a modified dendrogram (MD) (with sub-trees to represent the feature space clusters) and display it in continuous space for multi-dimensional transfer function (TF) design and modification. Such a TF for direct volume rendering often employs a multi-dimensional feature space. In an n-dimensional (nD) feature space, each voxel is described using n attributes and represented by a vector of n values. The MD reveals the hierarchical structure information of the high-dimensional feature space clusters. Using the MD user interface (UI), the user can design and modify the TF in 2D in an intuitive and informative manner instead of designing it directly in multi-dimensional space where it is complicated and harder to understand the relationship of the feature space vectors. In addition, we provide the capability to interactively change the granularity of the MD. The coarse-grained MD shows primarily the global information of the feature space while the fine-grained MD reveals the finer details, and the separation ability of the high-dimensional feature space is completely preserved in the finest granularity. With the so called multi-grained method, the user can efficiently create a TF using the coarse-grained MD, then fine tune it with the finer-grained MDs to improve the quality of the volume rendering. Furthermore, we propose a fast interactive hierarchical clustering (FIHC) algorithm for accelerating the MD computation and supporting the interactive multi-grained TF design. In the FIHC, the finest-grained MD is established by linking the feature space vectors, then the feature space vectors being the leaves of this tree are clustered using a hierarchical leaf clustering (HLC) algorithm forming a leaf vector hierarchical tree (LVHT). The granularity of the MD can be changed by setting the precision of the LVHT. Our method is independent on the type of the attributes and supports arbitrary-dimension feature space.</p>","PeriodicalId":91181,"journal":{"name":"Visualization : proceedings of the ... IEEE Conference on Visualization. IEEE Conference on Visualization","volume":"18 1","pages":"121-131"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4536829/pdf/nihms-211391.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33994667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
While previous Visualization panels have focused on different methods for scientific visualization, this panel focuses on the process of transforming data into insight. The overarching goal for visualization is to transform data into information or knowledge. This goal, however, can be somewhat elusive and difficult to achieve. The purpose of this panel is to discuss a variety of approaches that range from traditional to those that are new and emerging. Each of the given panelists is keenly interested in extracting relevant knowledge and information from a given set of data. However, each panelist takes a very different approach, and each has a different process by which visualization bears insight. David Ebert is inspired by the effectiveness of illustration and experimental photography techniques to convey knowledge. Kelly Gaither is keenly rooted in the physical meaning behind the data and uses this knowledge to guide the choice and style of visual representation. Pat Hanrahan is interested in self-illustrating phenomena and new approaches to visualizing streams of data such as network flows, migrations of birds and people, and flow of goods and traffic. Daniel Weiskopf is exploring the impact of color, motion, and interactivity on the visualization process. His approaches are traditional in nature but incorporate advances in graphics hardware.
{"title":"The Visualization Process: The Path from Data to Insight","authors":"K. Gaither, D. Ebert, D. Weiskopf, P. Hanrahan","doi":"10.1109/VIS.2005.104","DOIUrl":"https://doi.org/10.1109/VIS.2005.104","url":null,"abstract":"While previous Visualization panels have focused on different methods for scientific visualization, this panel focuses on the process of transforming data into insight. The overarching goal for visualization is to transform data into information or knowledge. This goal, however, can be somewhat elusive and difficult to achieve. The purpose of this panel is to discuss a variety of approaches that range from traditional to those that are new and emerging. Each of the given panelists is keenly interested in extracting relevant knowledge and information from a given set of data. However, each panelist takes a very different approach, and each has a different process by which visualization bears insight. David Ebert is inspired by the effectiveness of illustration and experimental photography techniques to convey knowledge. Kelly Gaither is keenly rooted in the physical meaning behind the data and uses this knowledge to guide the choice and style of visual representation. Pat Hanrahan is interested in self-illustrating phenomena and new approaches to visualizing streams of data such as network flows, migrations of birds and people, and flow of goods and traffic. Daniel Weiskopf is exploring the impact of color, motion, and interactivity on the visualization process. His approaches are traditional in nature but incorporate advances in graphics hardware.","PeriodicalId":91181,"journal":{"name":"Visualization : proceedings of the ... IEEE Conference on Visualization. IEEE Conference on Visualization","volume":"36 1","pages":"118"},"PeriodicalIF":0.0,"publicationDate":"2005-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84110690","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. House, V. Interrante, D. Laidlaw, Russell M. Taylor, C. Ware
This panel brings together researchers who have been pioneering quite different approaches to visualization research by integrating evaluation and knowledge of visual design into their work. The panelists will present their views and experiences in using user studies for quantitative evaluation of methods, in integrating the expertise of visually trained designers into the development of methods, and in exploring the parameter space of visualization possibilities using "human-in-the-loop" experiments. A goal of the panel is to encourage a lively and stimulating discussion by presenting challenging but highly contrasting ideas. The panel will follow the usual pattern of short position presentations, taking care to leave ample time for audience interaction, questions, and comments.
{"title":"Design and Evaluation in Visualization Research","authors":"D. House, V. Interrante, D. Laidlaw, Russell M. Taylor, C. Ware","doi":"10.1109/VIS.2005.21","DOIUrl":"https://doi.org/10.1109/VIS.2005.21","url":null,"abstract":"This panel brings together researchers who have been pioneering quite different approaches to visualization research by integrating evaluation and knowledge of visual design into their work. The panelists will present their views and experiences in using user studies for quantitative evaluation of methods, in integrating the expertise of visually trained designers into the development of methods, and in exploring the parameter space of visualization possibilities using \"human-in-the-loop\" experiments. A goal of the panel is to encourage a lively and stimulating discussion by presenting challenging but highly contrasting ideas. The panel will follow the usual pattern of short position presentations, taking care to leave ample time for audience interaction, questions, and comments.","PeriodicalId":91181,"journal":{"name":"Visualization : proceedings of the ... IEEE Conference on Visualization. IEEE Conference on Visualization","volume":"33 1","pages":"117"},"PeriodicalIF":0.0,"publicationDate":"2005-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86206133","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. Bartz, H. Hagen, V. Interrante, K. Ma, B. Preim
Illustrative rendering, often also depicted as non-photorealistic rendering1 or stylized rendering, employs abstraction techniques to convey the relevant information, and de-emphasize less important details. The question remains how this abstraction process is guided and in particular how can we ensure that relevant information is maintained. Consequently, research on illustrative rendering needs to address how the information is perceived by the human observer, next to the investigation of algorithmic aspects. In this panel, we discuss various aspects on this topic. Kwan-Liu Ma discusses how illustrative rendering can be used in scientifc visualization, and Bernhard Preim explores its use for the visualization in the medical imaging domain. Perception aspects are presented by Victoria Interrante. A different perspective, if illustrative rendering is useful for typical visualization problems, is added by Hans Hagen.
{"title":"Illustrative Rendering Techniques for Visualization: Future of Visualization or Just Another Technique?","authors":"D. Bartz, H. Hagen, V. Interrante, K. Ma, B. Preim","doi":"10.1109/VIS.2005.56","DOIUrl":"https://doi.org/10.1109/VIS.2005.56","url":null,"abstract":"Illustrative rendering, often also depicted as non-photorealistic rendering1 or stylized rendering, employs abstraction techniques to convey the relevant information, and de-emphasize less important details. The question remains how this abstraction process is guided and in particular how can we ensure that relevant information is maintained. Consequently, research on illustrative rendering needs to address how the information is perceived by the human observer, next to the investigation of algorithmic aspects. In this panel, we discuss various aspects on this topic. Kwan-Liu Ma discusses how illustrative rendering can be used in scientifc visualization, and Bernhard Preim explores its use for the visualization in the medical imaging domain. Perception aspects are presented by Victoria Interrante. A different perspective, if illustrative rendering is useful for typical visualization problems, is added by Hans Hagen.","PeriodicalId":91181,"journal":{"name":"Visualization : proceedings of the ... IEEE Conference on Visualization. IEEE Conference on Visualization","volume":"50 1","pages":"120"},"PeriodicalIF":0.0,"publicationDate":"2005-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79127999","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":"Neuroanatomical image alignment","authors":"Issac J. Trotts, B. Olshausen, E. Jones","doi":"10.1109/VIS.2005.69","DOIUrl":"https://doi.org/10.1109/VIS.2005.69","url":null,"abstract":"","PeriodicalId":91181,"journal":{"name":"Visualization : proceedings of the ... IEEE Conference on Visualization. IEEE Conference on Visualization","volume":"117 1","pages":"92"},"PeriodicalIF":0.0,"publicationDate":"2005-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73127253","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. Bartz, G. Kindlmann, K. Mueller, B. Preim, M. Wacker
{"title":"Visual Medicine: Part One - Medical Imaging","authors":"D. Bartz, G. Kindlmann, K. Mueller, B. Preim, M. Wacker","doi":"10.1109/VIS.2005.116","DOIUrl":"https://doi.org/10.1109/VIS.2005.116","url":null,"abstract":"","PeriodicalId":91181,"journal":{"name":"Visualization : proceedings of the ... IEEE Conference on Visualization. IEEE Conference on Visualization","volume":"38 1","pages":"122"},"PeriodicalIF":0.0,"publicationDate":"2005-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74501585","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}
It is widely acknowledged that an important aspect in Earth Science research is the ability to visualize huge amounts of data resulting from numerical simulations or data acquisition. Whether the data is a simple two-dimensional plot or a three-dimensional multivariate grid, the ability to visualize the data is imperative for researchers to properly demonstrate results. This poster will examine various visualization techniques of the software package, amira® (www.amiravis.com) with respect to three research projects. These projects are: a mantle convection simulation run on the Earth Simulator; a spherical harmonic model computed at the University of Minnesota's Supercomputing Institute; an upper mantle study of earthquake-generated shear waves down to 660 km obtained through computed tomography using seismogram data from the Incorporated Research Institutions for Seismology (IRIS). The data resulting from the mantle convection study is in the form of a regular cartesian grid consisting of various field parameters such as temperature, velocity and viscosity. Techniques employed to view these fields include but are not limited to volume rendering, illuminated streamlines and oblique slices. The spherical harmonics model is rendered as a volume and is also explored using an isosurface module. The upper mantle study is visualized using an oblique slice technique and also isosurfaces. An analysis of the benefits and drawbacks of various amira® modules in regard to the above projects will not only result in a better understanding of the data, but will also demonstrate the unique capabilities of the different techniques and how they can be best applied to specific problems in the Earth Sciences.
{"title":"Visualization in the Earth Sciences: A Discussion on Various Visualization Methods using amira","authors":"S. Wang, M. Damon, D. Yuen","doi":"10.1109/VIS.2005.119","DOIUrl":"https://doi.org/10.1109/VIS.2005.119","url":null,"abstract":"It is widely acknowledged that an important aspect in Earth Science research is the ability to visualize huge amounts of data resulting from numerical simulations or data acquisition. Whether the data is a simple two-dimensional plot or a three-dimensional multivariate grid, the ability to visualize the data is imperative for researchers to properly demonstrate results. This poster will examine various visualization techniques of the software package, amira® (www.amiravis.com) with respect to three research projects. These projects are: a mantle convection simulation run on the Earth Simulator; a spherical harmonic model computed at the University of Minnesota's Supercomputing Institute; an upper mantle study of earthquake-generated shear waves down to 660 km obtained through computed tomography using seismogram data from the Incorporated Research Institutions for Seismology (IRIS). The data resulting from the mantle convection study is in the form of a regular cartesian grid consisting of various field parameters such as temperature, velocity and viscosity. Techniques employed to view these fields include but are not limited to volume rendering, illuminated streamlines and oblique slices. The spherical harmonics model is rendered as a volume and is also explored using an isosurface module. The upper mantle study is visualized using an oblique slice technique and also isosurfaces. An analysis of the benefits and drawbacks of various amira® modules in regard to the above projects will not only result in a better understanding of the data, but will also demonstrate the unique capabilities of the different techniques and how they can be best applied to specific problems in the Earth Sciences.","PeriodicalId":91181,"journal":{"name":"Visualization : proceedings of the ... IEEE Conference on Visualization. IEEE Conference on Visualization","volume":"50 1","pages":"112"},"PeriodicalIF":0.0,"publicationDate":"2005-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74365615","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. Bartz, G. Kindlmann, K. Mueller, B. Preim, M. Wacker
{"title":"Visual Medicine: Part Two - Advanced Applications of Medical Imaging","authors":"D. Bartz, G. Kindlmann, K. Mueller, B. Preim, M. Wacker","doi":"10.1109/VIS.2005.117","DOIUrl":"https://doi.org/10.1109/VIS.2005.117","url":null,"abstract":"","PeriodicalId":91181,"journal":{"name":"Visualization : proceedings of the ... IEEE Conference on Visualization. IEEE Conference on Visualization","volume":"47 1","pages":"123"},"PeriodicalIF":0.0,"publicationDate":"2005-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76517879","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":"Volume Rendering of Real-Time 3D Echocardiographic Data","authors":"Vladimir Zagrodsky, R. Shekhar","doi":"10.1109/VIS.2005.132","DOIUrl":"https://doi.org/10.1109/VIS.2005.132","url":null,"abstract":"","PeriodicalId":91181,"journal":{"name":"Visualization : proceedings of the ... IEEE Conference on Visualization. IEEE Conference on Visualization","volume":"13 1","pages":"114"},"PeriodicalIF":0.0,"publicationDate":"2005-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85418025","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}