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Texturing of layered surfaces for optimal viewing

Texturing of layered surfaces for optimal viewing

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ieee visualization Conference (Vis 2006)/ieee symposium on Information visualization (InfoVis 2006)

作者： Bair, Alethea S. House, Donald H. Ware, Colin Texas A&M Univ College Stn TX 77843 USA Univ New Hampshire Durham NH 03824 USA

This paper is a contribution to the literature on perceptually optimal visualizations of layered three-dimensional surfaces. Specifically, we develop guidelines for generating texture patterns, which, when tiled on two overlapped surfaces, minimize confusion in depth-discrimination and maximize the ability to localize distinct features. We design a parameterized texture space and explore this texture space using a "human in the loop" experimental approach. Subjects are asked to rate their ability to identify Gaussian bumps on both upper and lower surfaces of noisy terrain fields. Their ratings direct a genetic algorithm, which selectively searches the texture parameter space to find fruitful areas. Data collected from these experiments are analyzed to determine what combinations of parameters work well and to develop texture generation guidelines. Data analysis methods include ANOVA, linear discriminant analysis, decision trees, and parallel coordinates. To confirm the guidelines, we conduct a post-analysis experiment, where subjects rate textures following our guidelines against textures violating the guidelines. Across all subjects, textures following the guidelines consistently produce high rated textures on an absolute scale, and are rated higher than those that did not follow the guidelines.

关键词： perception optimal visualization layered surfaces human-in-the-loop genetic algorithm data mining linear discriminant analysis parallel coordinates decision trees

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Hybrid visualization for white matter tracts using triangle strips and point sprites

Hybrid visualization for white matter tracts using triangle ...

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ieee visualization Conference (Vis 2006)/ieee symposium on Information visualization (InfoVis 2006)

作者： Merhof, Dorit Sonntag, Markus Enders, Frank Nimsky, Christopher Hastreiter, Peter Greiner, Guenther Univ Erlangen Nurnberg Comp Graph Grp D-8520 Erlangen Germany Univ Erlangen Nurnberg Dept Neurosurg D-8520 Erlangen Germany

Diffusion tensor imaging is of high value in neurosurgery, providing information about the location of white matter tracts in the human brain. For their reconstruction, streamline techniques commonly referred to as fiber tracking model the underlying fiber structures and have therefore gained interest. To meet the requirements of surgical planning and to overcome the visual limitations of line representations, a new real-time visualization approach of high visual quality is introduced. For this purpose, textured triangle strips and point sprites are combined in a hybrid strategy employing GPU programming. The triangle strips follow the fiber streamlines and are textured to obtain a tube-like appearance. A vertex program is used to orient the triangle strips towards the camera. In order to avoid triangle flipping in case of fiber segments where the viewing and segment direction are parallel, a correct visual representation is achieved in these areas by chains of point sprites. As a result, a high quality visualization similar to tubes is provided allowing for interactive multimodal inspection. Overall, the presented approach is faster than existing techniques of similar visualization quality and at the same time allows for real-time rendering of dense bundles encompassing a high number of fibers, which is of high importance for diagnosis and surgical planning.

关键词： diffusion tensor data fiber tracking streamline visualization

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visualization aspects in the MERCW project

Visualization aspects in the MERCW project

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ieee US/EU Baltic International symposium, BALTIC 2006

作者： Borodin, P. Greß, A. Klein, R. University of Bonn Institute of Computer Science II Römerstraße 164 Bonn53117 Germany

ISBN: (纸本)9781509002122

The MERCW project focuses on the study of chemical munition dump sites in the Baltic Sea and Skagerrak area. Through focused site investigations an assessment will be made of the ecological risks related to the dumped warfare for the marine ecosystem and people. One of the objectives of the project is to illustrate the results from the risk assessment using innovative visualization techniques. Our aim is to develop technology to interactively analyze and explore data that is collected, simulated, and used in the project, in order to support decision-making, risk analysis, and emergency plans. The data to be considered will include detailed bathymetric maps of the sea bottom, different scalar fields defined on the 3D water volume (e.g. temperature, salinity, and concentrations of poisonous substances) as well as vector fields (e.g. sea currents). In order to achieve this goal we will apply and enhance well-established methods of terrain, volume, and flow visualization. Special emphasis will be put on fast techniques that exploit the parallel computing power of current graphics processing units (GPUs). In addition to common visualization techniques, stereo rendering in virtual environments, such as PowerWall and CAVE, will further enhance the perception and understanding of complex 3D phenomena. © 2006 ieee.

关键词： Risk assessment

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Accelerating network traffic analytics using query-driven visualization

Accelerating network traffic analytics using query-driven vi...

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ieee symposium on Visual Analytics Science and Technology 2006, VAST 2006

作者： Wes Bethel, E. Campbell, Scott Dart, Eli Stockinger, Kurt Wu, Kesheng Computational Research Division Lawrence Berkeley National Laboratory University of California Berkeley CA 94720 National Energy Research Scientific Computing Center Division Lawrence Berkeley National Laboratory University of California Berkeley CA 94720 Energy Sciences Network Lawrence Berkeley National Laboratory University of California Berkeley CA 94720

ISBN: (纸本)1424405912

Realizing operational analytics solutions where large and complex data must be analyzed in a time-critical fashion entails integrating many different types of technology. This paper focuses on an interdisciplinary combination of scientific data management and visualization/analysis technologies targeted at reducing the time required for data filtering, querying, hypothesis testing and knowledge discovery in the domain of network connection data analysis. We show that use of compressed bitmap indexing can quickly answer queries in an interactive visual data analysis application, and compare its performance with two alternatives for serial and parallel filtering/querying on 2.5 billion records' worth of network connection data collected over a period of 42 weeks. Our approach to visual network connection data exploration centers on two primary factors: interactive ad-hoc and multiresolution query formulation and execution over n dimensions and visual display of the n-dimensional histogram results. This combination is applied in a case study to detect a distributed network scan and to then identify the set of remote hosts participating in the attack. Our approach is sufficiently general to be applied to a diverse set of data understanding problems as well as used in conjunction with a diverse set of analysis and visualization tools. © 2006 ieee.

关键词： Telecommunication traffic

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PointCloudXplore: Visual Analysis of 3D Gene Expression Data Using Physical Views and parallel Coordinates

PointCloudXplore: Visual Analysis of 3D Gene Expression Data...

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8th Joint Eurographics/ieee VGTC symposium on visualization, EuroVis 2006

作者： Rübel, O. Weber, G.H. Keränen, S.V.E. Fowlkes, C.C. Hendriks, C.L. Luengo Simirenko, L. Shah, N.Y. Eisen, M.B. Biggin, M.D. Hagen, H. Sudar, D. Malik, J. Knowles, D.W. Hamann, B. International Research Training Group "Visualization of Large and Unstructured Data Sets" University of Kaiserslautern Germany Institute for Data Analysis and Visualization University of California DavisCA United States Life Sciences and Genomics Divisions Lawrence Berkeley National Laboratory CA United States Computer Science Division University of California BerkeleyCA United States

ISBN: (纸本)3905673312

To allow a more rigorous understanding of animal gene regulatory networks, the Berkeley Drosophila Transcription Network Project (BDTNP) has developed a suite of methods that support quantitative, computational analysis of three-dimensional (3D) gene expression patterns with cellular resolution in early Drosophila embryos. Here we report the first components of a visualization tool, PointCloudXplore, that allows the relationships between different gene's expression to be analyzed using the BDTNP's datasets. PointCloudXplore uses the established visualization techniques of multiple views, brushing, and linking to support the analysis of high-dimensional datasets that describe many genes' expression. Each of the views in PointCloudXplore shows a different gene expression data property. Brushing is used to select and emphasize data associated with defined subsets of embryo cells within a view. Linking is used to show in additional views the expression data for a group of cells that have first been highlighted as a brush in a single view, allowing further data subset properties to be determined. In PointCloudXplore, physical views of the data are linked to parallel coordinates. Physical views show the spatial relationships between different genes' expression patterns within the embryo. parallel coordinates, on the other hand, show only some features of each gene's expression, but allow simultaneous analysis of data for many more genes than would be possible in a physical view. We have developed several extensions to standard parallel coordinates to facilitate brushing the visualization of 3D gene expression data. © The Eurographics Association 2006.

关键词： visualization

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Design for parallel Interactive Ray Tracing Systems

Design for Parallel Interactive Ray Tracing Systems

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ieee symposium on Interactive Ray Tracing

作者： James Bigler Abe Stephens Steven G. Parker Scientific Computing and Imaging Institute University of Utah USA

ISBN: (纸本)1424406935

We describe the software architecture of the Manta interactive ray tracer and describe its application in engineering and scientific visualization. Although numerous ray tracing software packages have been developed, much of the traditional design wisdom needs to be updated to provide support for interactivity, high degrees of parallelism, and modern packet-based acceleration structures. We discuss situations that are normally not considered when designing a batch ray tracer and present methods to overcome those challenges. This paper advocates a forward looking programming model for interactive ray tracing that uses reconfigurable components to achieve flexibility while achieving scalability on large numbers of processors. Manta employs data structures motivated by modern microprocessor design that can exploit instruction-level parallelism. We discuss the design tradeoffs and the performance achieved for this system

关键词： Ray tracing Rendering (computer graphics) parallel processing Data structures Computer graphics Process design Hardware Computational modeling Software architecture Application software

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visualization aspects in the MERCW project

Visualization aspects in the MERCW project

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ieee/OES US/EU Baltic International symposium

作者： P. Borodin A. Greß R. Klein University of Bonn Institute of Computer Science II Bonn Germany Rheinische Friedrich-Wilhelms-Universitat Bonn Bonn Nordrhein-Westfalen DE

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A comparative study of popular interpolation and integration methods for use in computed tomography

A comparative study of popular interpolation and integration...

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ieee International symposium on Biomedical Imaging

作者： Fang Xu K. Mueller Center for Visual Computing Computer Science Stony Brook University USA

ISBN: (纸本)078039576X

We compare various popular methods available for projection and backprojection in CT. Assuming linear rays and a simple density integration along them, we consider both line- and area-based methods. Here, two key components govern the quality of a projection result, given the discrete nature of the data and reconstruction result: interpolation and integration. Both of these are studied here. In order to separate these fundamental issues from those related to perspective fan and cone-beam effects, we restrict ourselves to a parallel-beam projection geometry. We also compare these different methods in light of a possible efficient implementation on programmable commodity graphics hardware (GPUs). To this end, we propose a new method for interpolation based on hexagonal subsampling, which achieves superior results. In order to achieve a data-independent comparison, we employ a dataset of very high and uniform frequency content, the so-called Marschner-Lobb dataset

关键词： Interpolation Computed tomography Kernel Filters Frequency visualization Computer science Taylor series Testing Equations

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An interactive 3D integration of parallel coordinates and star glyphs

An interactive 3D integration of parallel coordinates and st...

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ieee symposium on Information visualization (INFOVIS)

作者： E. Fanea S. Carpendale T. Isenberg Canada Department of Computer Science University of Calgary Canada

parallel coordinates are a powerful method for visualizing multidimensional data but, when applied to large data sets, they become cluttered and difficult to read. Star glyphs, on the other hand, can be used to display either the attributes of a data item or the values across all items for a single attribute. Star glyphs may readily provide a quick impression; however, since the full data set require multiple glyphs, overall readings are more difficult. We present parallel glyphs, an interactive integration of the visual representations of parallel coordinates and star glyphs that utilizes the advantages of both representations to offset the disadvantages they have separately. We discuss the role of uniform and stepped colour scales in the visual comparison of non-adjacent items and star glyphs. parallel glyphs provide capabilities for focus-in-context exploration using two types of lenses and interactions specific to the 3D space.

关键词： Data visualization Multidimensional systems Computer displays Computer science Lenses Chromium Computer graphics User interfaces Three dimensional displays Data analysis

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parallel sets: visual analysis of categorical data

Parallel sets: visual analysis of categorical data

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ieee symposium on Information visualization (INFOVIS)

作者： F. Bendix R. Kosara H. Hauser VRVis Research Center Inte:Ligand VRVis Research Center Austria

The discrete nature of categorical data makes it a particular challenge for visualization. Methods that work very well for continuous data are often hardly usable with categorical dimensions. Only few methods deal properly with such data, mostly because of the discrete nature of categorical data, which does not translate well into the continuous domains of space and color. parallel sets is a new visualization method that adopts the layout of parallel coordinates, but substitutes the individual data points by a frequency based representation. This abstracted view, combined with a set of carefully designed interactions, supports visual data analysis of large and complex data sets. The technique allows efficient work with meta data, which is particularly important when dealing with categorical datasets. By creating new dimensions from existing ones, for example, the user can filter the data according to his or her current needs. We also present the results from an interactive analysis of CRM data using parallel sets. We demonstrate how the flexible layout eases the process of knowledge crystallization, especially when combined with a sophisticated interaction scheme.

关键词： Data analysis Data visualization Information retrieval Histograms Frequency Filters Layout Crystallization Chromium Computer graphics

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