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Workshop on Mathematical Foundations of Scientific visualization, Computer Graphics, and Massive data Exploration, 2004

作者： Gregorski, Benjamin Senecal, Joshua Duchaineau, Mark Joy, Kenneth I. Center for Applied Scientific Computing Lawrence Livermore National Laboratory 7000 East Avenue LivermoreCA94551 United States Institute for Data Analysis and Visualization Department of Computer Science University of California Davis One Shields Avenue DavisCA95616 United States

ISBN: (纸本)9783642543005

We present two algorithms for data compression and occlusion culling that improve interactive, adaptive isosurface extraction from large volume datasets. Our algorithm, based on hierarchical tetrahedral meshes defined by longest edge bisection, allows arbitrary isosurfaces to be adaptively extracted at interactive rates from losslessly compressed volumes where the region of interest, determined at runtime by user interaction, is decompressed on-the-fly. For interactive applications, we exploit frame-to-frame coherence between consecutive views to simplify the mesh structure in occluded regions and eliminate occluded triangles significantly reducing the complexity of the visualized surface and the underlying multiresolution volume representation. We extend the use of hardware accelerated occlusion queries to adaptive isosurface extraction applications where the surface geometry and topology change with the level-of-detail and view-point and the user can select an arbitrary isovalue for visualization. © 2009 Springer-Verlag Berlin Heidelberg.

关键词： Extraction

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Automatic beam path analysis of laser wakefield particle acceleration data

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Computational science and Discovery 2009年第1期2卷

作者： Rübel, Oliver Geddes, Cameron G R. Cormier-Michel, Estelle Wu, Kesheng Prabhat Weber, Gunther H. Ushizima, Daniela M. Messmer, Peter Hagen, Hans Hamann, Bernd Bethel, Wes Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 One Cyclotron Road United States 'Visualization of Large and Unstructured Data Sets - Applic. in Geospatial Plan. Modeling and Eng. 'Technische Universität Kaiserslautern D-67653 Kaiserslautern Erwin-Schrödinger-Straße Germany Institute for Data Analysis and Visualization (IDAV) Department of Computer Science University of California Davis CA 95616 Davis One Shields Avenue United States LOASIS Program of Lawrence Berkeley National Laboratory Berkeley CA 94720 One Cyclotron Road United States Tech-X Corporation Boulder CO 80303 5621 Arapahoe Avenue United States

Numerical simulations of laser wakefield particle accelerators play a key role in the understanding of the complex acceleration process and in the design of expensive experimental facilities. As the size and complexity of simulation output grows, an increasingly acute challenge is the practical need for computational techniques that aid in scientific knowledge discovery. To that end, we present a set of data-understanding algorithms that work in concert in a pipeline fashion to automatically locate and analyze high-energy particle bunches undergoing acceleration in very large simulation datasets. These techniques work cooperatively by first identifying features of interest in individual timesteps, then integrating features across timesteps, and based on the information-derived perform analysis of temporally dynamic features. This combination of techniques supports accurate detection of particle beams enabling a deeper level of scientific understanding of physical phenomena than has been possible before. By combining efficient data analysis algorithms and state-of-the-art data management we enable high-performance analysis of extremely large particle datasets in 3D. We demonstrate the usefulness of our methods for a variety of 2D and 3D datasets and discuss the performance of our analysis pipeline. © 2009 IOP Publishing Ltd.

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Why interval arithmetic is so useful

Why interval arithmetic is so useful

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2nd Workshop of the DFG's International Research Training Group on visualization of Large and Unstructured data Sets - Applications in Geospatial Planning, Modeling, and Engineering, VLUDS 2007

作者： Hijazi, Younis Hagen, Hans Hansen, Charles Joy, Kenneth I. Department of Computer Sciences University of Kaiserslautern and IRTG 1131 D-67653 Kaiserslautern Germany SCI Institute University of Utah United States Computer Science Department Institute for Data Analysis and Visualization University of California Davis United States

ISBN: (纸本)9783885794417

Interval arithmetic was introduced by Ramon Moore [Moo66] in the 1960s as an approach to bound rounding errors in mathematical computation. The theory of interval analysis emerged considering the computation of both the exact solution and the error term as a single entity, i.e. the interval. Though a simple idea, it is a very powerful technique with numerous applications in mathematics, computer science, and engineering. In this survey we discuss the basic concepts of interval arithmetic and some of its extensions, and review successful applications of this theory in particular in computer science.

关键词： Computation theory

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PointCloudXplore 2: Visual exploration of 3D gene expression

PointCloudXplore 2: Visual exploration of 3D gene expression

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2nd Workshop of the DFG's International Research Training Group on visualization of Large and Unstructured data Sets - Applications in Geospatial Planning, Modeling, and Engineering, VLUDS 2007

作者： Rübel, O. Weber, G.H. Huang, M.-Y. Bethel, E.W. Keränen, S.V.E. Fowlkes, C.C. Hendriks, C.L. Luengo DePace, Angela H. Simirenko, L. Eisen, M.B. Biggin, M.D. Hagen, H. Malik, J. Knowles, D.W. Hamann, B. International Research Training Group University of Kaiserslautern Germany Institute for Data Analysis and Visualization University of California Davis United States Computational Research Division Lawrence Berkeley National Laboratory Berkeley United States Genomics Division Lawrence Berkeley National Laboratory Berkeley United States Computer Science Department University of California Irvine United States Computer Science Division University of California Berkeley United States Lawrence Berkeley National Laboratory Life Sciences Division Berkeley United States Department of Molecular and Cellular Biology Center for Integrative Genomics University of California Berkeley United States

ISBN: (纸本)9783885794417

To better understand how developmental regulatory networks are defined in the genome sequence, the Berkeley Drosophila Transcription Network Project (BDNTP ) has developed a suite of methods to describe 3D gene expression data, i.e., the output of the network at cellular resolution for multiple time points. To allow researchers to explore these novel data sets we have developed PointCloudXplore (PCX). In PCX we have linked physical and information visualization views via the concept of brushing (cell selection). For each view dedicated operations for performing selection of cells are available. In PCX, all cell selections are stored in a central management system. Cells selected in one view can in this way be highlighted in any view allowing further cell subset properties to be determined. Complex cell queries can be defined by combining different cell selections using logical operations such as AND, OR, and NOT. Here we are going to provide an overview of PointCloudXplore 2 (PCX2), the latest publicly available version of PCX. PCX2 has shown to be an effective tool for visual exploration of 3D gene expression data. We discuss (i) all views available in PCX2, (ii) different strategies to perform cell selection, (iii) the basic architecture of PCX2., and (iv) illustrate the usefulness of PCX2 using selected examples.

关键词： visualization

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Implicit surface modeling suitable for inside/outside tests with radial basis functions

Implicit surface modeling suitable for inside/outside tests ...

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2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007

作者： Pan, Rongjiang Skala, Vaclav School of Computer Science and Technology Shandong University Jinan 250100 China Centre of Computer Graphics and Data Visualization Department of Computer Science and Engineering University of West Bohemia Plzen 306 14 Czech Republic

ISBN: (纸本)9781424415793

We describe a method for computing an implicit function that represents a surface by its zero level set, given a set of points scattered over the surface and associated with surface normal vectors. This implicit function is defined as a linear combination of compactly supported radial basis functions. Our method is suitable for testing whether a given point is interior or exterior to the surface, previously only associated with globally supported or globally regularized radial basis functions. We use a two-level interpolation approach. In the coarse scale interpolation, we set basis function centers by a grid that covers the enlarged bounding box of the given point set and compute their signed distances to the underlying surface using local quadratic approximations of the nearest surface points. Then a fitting to the residual errors on the surface points and additional off-surface points is performed with fine scale basis functions. The final function is the sum of the two intermediate functions and is a good approximation of the signed distance field to the surface in the bounding box. Examples of surface reconstruction and set operations between shapes are provided. © 2007 IEEE.

关键词： Interpolation

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Feature Identification and Extraction in Function Fields

Feature Identification and Extraction in Function Fields

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9th Joint Eurographics/IEEE VGTC Symposium on visualization, EuroVis 2007

作者： Anderson, John C. Gosink, Luke J. Duchaineau, Mark A. Joy, Kenneth I. Institute for Data Analysis and Visualization Department of Computer Science University of California Davis United States Center for Applied Scientific Computing Lawrence Livermore National Laboratory

ISBN: (纸本)9783905673456

We present interactive techniques for identifying and extracting features in function fields. Function fields map points in n-dimensional Euclidean space to 1-dimensional scalar functions. Visual feature identification is accomplished by interactively rendering scalar distance fields, constructed by applying a function-space distance metric over the function field. Combining visual exploration with feature extraction queries, formulated as a set of function-space constraints, facilitates quantitative analysis and annotation. Numerous application domains give rise to function fields. We present results for two-dimensional hyperspectral images, and a simulated time-varying, three-dimensional air quality dataset. © The Eurographics Association 2007.

关键词： Air quality

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Implicit Surface Modeling Suitable for Inside/Outside Tests with Radial Basis Functions

Implicit Surface Modeling Suitable for Inside/Outside Tests ...

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2007 10th IEEE International Conferences on Computer Aided Design and Computer Graphics(CAD/Graphics 2007)

作者： Vaclav Skala Centre of Computer Graphics and Data Visualization Department of Computer Science and EngineeringUniversity of West BohemiaPlzenCzech Republic30614

We describe a method for computing an implicit function that represents a surface by its zero level set,given a set of points scattered over the surface and associated with surface normal *** implicit function is defined as a linear combination of compactly supported radial basis *** method is suitable for testing whether a given point is interior or exterior to the surface,previously only associated with globally supported or globally regularized radial basis *** use a two-level interpolation *** the coarse scale interpolation,we set basis function centers by a grid that covers the enlarged bounding box of the given point set and compute their signed distances to the underlying surface using local quadratic approximations of the nearest surface *** a fitting to the residual errors on the surface points and additional off-surface points is performed with fine scale basis *** final function is the sum of the two intermediate functions and is a good approximation of the signed distance field to the surface in the bounding *** of surface reconstruction and set operations between shapes are provided.

关键词： Implicit Surface Modeling Suitable for Inside/Outside Tests with Radial Basis Functions

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A Geometric Representation of Protein Sequences

A Geometric Representation of Protein Sequences

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Shengyin Gu Olivier Poch Bernd Hamann Patrice Koehl Institute for Data Analysis and Visualization Department of Computer Science University of California Davis CA USA Laboratoire de Biologie Structurale IGBMC Strasbourg France Institute for Data Analysis and Visualization Department of Computer Science University of California Davis CA USA Genome Center University of California Davis CA USA

The amino acid sequence of a protein is the key to understanding its structure and ultimately its function in the cell. This paper addresses the fundamental issue of encoding amino acids in ways that the visualization of protein sequences facilitates the decoding of its information content. We show that a feature-based representation in a three-dimensional (3D) space derived from substitution matrices provides an adequate representation from which the domain content of a protein can be predicted. In addition, we show that each dimension of the feature space can be related to a physical property of the amino acids.

关键词： Amino acids Protein sequence Bioinformatics data visualization USA Councils Genomics Encoding data analysis Computer science Biological information theory

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Implicit Surface Modeling Suitable for Inside/Outside Tests with Radial Basis Functions

Implicit Surface Modeling Suitable for Inside/Outside Tests ...

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IEEE International Conference on Computer-Aided Design and Computer Graphics

作者： Rongjiang Pan Vaclav Skala School of Computer Science and Technology Shandong University Jinan China Centre of Computer Graphics and Data Visualization Department of Computer Science and Engineering University of West Bohemia Plzen Czech Republic

关键词： Testing Surface fitting Surface reconstruction Computer science Interpolation Computer graphics data visualization data engineering Level set Scattering

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A foveal inset for large display environments

A foveal inset for large display environments

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ACM International Conference on Virtual Reality Continuum and its Applications, VRCIA 2006

作者： Staadt, Oliver G. Ahlborn, Benjamin A. Kreylos, Oliver Hamann, Bernd Institute for Data Analysis and Visualization Department of Computer Science University of California Davis United States

ISBN: (纸本)1595933247

We introduce a system that adds a foveal inset to large-scale projection displays. The effective resolution of the foveal inset projection is higher than the original display resolution, allowing the user to see more details and finer features in large data sets. The foveal inset is generated by projecting a high-resolution image onto a mirror mounted on a pan - tilt unit that is controlled by the user with a laser pointer. Our implementation is based on Chromium and supports many OpenGL applications without modifications. We present experimental results using high-resolution image data from medical imaging and areal photography. © 2006 ACM.

关键词： Calibration

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