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VIS 05: IEEE visualization 2005, Proceedings

作者： Wiley, David F. Amenta, Nina Alcantara, Dan A. Ghosh, Deboshmita Kil, Yong J. Delson, Eric Harcourt-Smith, Will Rohlf, F. James John, Katherine St. Hamann, Bernd Institute for Data Analysis and Visualization Department of Computer Science University of California Davis American Museum of Natural History Lehman College City University of New York Department of Ecology and Evolution State University of New York Stony Brook

ISBN: (纸本)0780394623

We introduce a technique to visualize the gradual evolutionary change of the shapes of living things as a morph between known three-dimensional shapes. Given geometric computer models of anatomical shapes for some collection of specimens - here the skulls of the some of the extant members of a family of monkeys - an evolutionary tree for the group implies a hypothesis about the way in which the shape changed through time. We use a statistical model which expresses the value of some continuous variable at an internal point in the tree as a weighted average of the values at the leaves. The framework of geometric morphometrics can then be used to define a shape-space, based on the correspondences of landmark points on the surfaces, within which these weighted averages can be realized as actual surfaces. Our software provides tools for performing and visualizing such an analysis in three dimensions. Beginning with laser range scans of crania, we use our landmark editor to interactively place landmark points on the surface. We use these to compute a "tree-morph" that smoothly interpolates the shapes across the tree. Each intermediate shape in the morph is a linear combination of all of the input surfaces. We create a surface model for an intermediate shape by warping all the input meshes towards the correct shape and then blending them together. To do the blending, we compute a weighted average of their associated trivariate distance functions and then extract a surface from the resulting function. We implement this idea using the squared distance function, rather than the usual signed distance function, in a novel way.

关键词： computer graphics

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Maximizing adaptivity in hierarchical topological models

Maximizing adaptivity in hierarchical topological models

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International Conference on Shape Modeling and Applications

作者： P.-T. Bremer V. Pascucci B. Hamann Department of Computer Science University of Illinois Urbana-Champaign USA Lawrence Livermore National Laboratory Center for Applied Scientific Computing USA Institute for Data Analysis and Visualization Department of Computer Science University of California Davis USA

We present an approach to hierarchically encode the topology of functions over triangulated surfaces. Its Morse-Smale complex, a well known structure in computational topology, describes the topology of a function. Following concepts of Morse theory, a Morse-Smale complex (and therefore a function's topology) can be simplified by successively canceling pairs of critical points. We demonstrate how cancellations can be effectively encoded to produce a highly adaptive topology-based multi-resolution representation of a given function. Contrary to the approach, we avoid encoding the complete complex in a traditional mesh hierarchy. Instead, the information is split into a new structure we call a cancellation forest and a traditional dependency graph. The combination of this new structure with a traditional mesh hierarchy proofs to be significantly more flexible than the one previously reported. In particular, we can create hierarchies that are guaranteed to be of logarithmic height.

关键词： Topology data visualization data analysis computer science Encoding Level set Shape Scientific computing Laboratories Transfer functions

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Guest editorial: Introduction to the special issue on adaptive learning systems in communication networks

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IEEE Transactions on Neural Networks 2005年第5期16卷 1013-1018页

作者： Parlos, Alexander G. Ji, Chuanyi Parisini, Thomas Baglietto, Marco Atiya, Amir F. Claffy, K. Texas A and M University Department of Mechanical Engineering College Station TX 77483 United States Georgia Institute of Technology Department of Electrical and Computer Engineering Atlanta GA 30332 United States University of Trieste Department of Electrical Electronic and Computer Engineering Trieste Italy University of Genova Department of Communications Computer and Systems Science Genova Italy Cairo University Department of Computer Engineering Cairo Egypt University of California Cooperative Association for Internet Data Analysis San Diego Supercomputer Center La Jolla CA 92093 United States

No abstract available

关键词： NEURAL networks (computer science)

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MoireTrees: visualization and interaction for multi-hierarchical data

MoireTrees: Visualization and interaction for multi-hierarch...

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7th Joint Eurographics - IEEE VGTC Symposium on visualization, VisSym 2005

作者： Mohammadi-Aragh, Mahnas Jean Jankun-Kelly, T.J. Visualization Analysis and Imaging Laboratory GeoResources Institute Engineering Research Center Mississippi State University MS39762 United States Department of Computer Science and Engineering James Worth Bagley College of Engineering Mississippi State University MS39762 United States

ISBN: (纸本)3905673193

Visualizing hierarchical data is one of the core areas of information visualization. Most of these techniques focus on single hierarchies—hierarchies with a single root element and a single path to each element. In contrast, this work focuses on the browsing of multi-hierarchies—hierarchies with multiple roots or multiple paths per element. A radial focus+context display algorithm and interaction methods are introduced to explore such multi-hierarchical data. A series of examples demonstrate the effectiveness of our new visualization. © The Eurographics Association 2005.

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Evolutionary morphing

Evolutionary morphing

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IEEE Conference on visualization

作者： D.F. Wiley N. Amenta D.A. Alcantara D. Ghosh Y.J. Kil E. Delson W. Harcourt-Smith F.J. Rohlf K. St John B. Hamann Institute for Data Analysis and Visualization and Department of Computer Science University of California Davis USA American Museum of Natural University of New York UK Department of Ecology and Evolution State University of New York Stony Brook USA

关键词： Shape Surface morphology Evolution (biology) Statistical analysis data visualization Genomics Bioinformatics Skull Humans data analysis

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Interactive Poster: Visualizing and Interacting with Multi-tree Hierarchical data

Interactive Poster: Visualizing and Interacting with Multi-t...

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Proceedings - IEEE Symposium on Information visualization, INFO VIS

This work focuses on visualizing highly cyclic hierarchical data. A user interface is discussed and its interaction is illustrated using a recipe database example. This example showcases a database with multiple categ... 详细信息

关键词： User interfaces

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Visualizing and Interacting with Multi-Tree Hierarchical data

Visualizing and Interacting with Multi-Tree Hierarchical Dat...

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IEEE Symposium on Information visualization (INFOVIS)

作者： M.J. Mohammadi-Aragh T.J. Jankun-Kelly Visualization Analysis and Imaging Laboratory GeoResources Institute Engineering Research Center Mississippi State University MS USA Department of Computer Science and Engineering Mississippi State University MS USA

关键词： data visualization Visual databases Focusing Layout User interfaces Animation Relational databases Java Graphics Tree graphs

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An improved N-bit to N-bit reversible Haar-like transform

An improved N-bit to N-bit reversible Haar-like transform

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Pacific Conference on computer Graphics and Applications

作者： J.G. Senecal P. Lindstrom M.A. Duchaineau K.I. Joy Inst. for Sci. Comput. Res. Lawrence Livermore Nat. Lab. CA USA Center for Applied Scientific Computing Lawrence Livemore National Laboratory USA Institute for Data Analysis and Visualization Computer Science Department University of California Davis USA

We introduce the piecewise-linear Haar (PLHaar) transform, a reversible n-bit to n-bit transform that is based on the Haar wavelet transform. PLHaar is continuous, while all current n-bit to n-bit methods are not, and is therefore uniquely usable with both lossy and lossless methods (e.g. image compression). PLHaar has both integer and continuous (i.e. non-discrete) forms. By keeping the coefficients to n bits PLHaar is particularly suited for use in hardware environments where channel width is limited, such as digital video channels and graphics hardware.

关键词： Wavelet transforms Continuous wavelet transforms Hardware Dynamic range Image coding Scientific computing Image reconstruction Laboratories data analysis data visualization

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Shape-invariant fuzzy clustering of proteomics data

Shape-invariant fuzzy clustering of proteomics data

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Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： M.R. Berthold D.E. Patterson M. Ortolani H. Hofer F. Hoppner O. Callan Tripos Inc. Data Analysis Research Lab South San Francisco CA USA Institute of Automation Chemnitz University of Technology Germany Department of Computer Science University of Applied Sciences Wolfenbüttel Germany VistaGen Therapeutics Inc Burlingame CA USA

We present a variant of fuzzy c-means that allows us to find similar shapes in time series data in a scale-invariant fashion. We use data from protein mass spectrography to show how this approach finds areas of intere... 详细信息

关键词： Proteomics Proteins Shape data analysis USA Councils Acceleration Automation Chemical technology computer science Time series analysis

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Evolutionary design and development of image meta-analysis environments based on object-relational database mediator technology

Evolutionary design and development of image meta-analysis e...

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International Working Conference on Scientific and Statistical database Management

作者： J. Fredriksson P. Svensson Department of Numerical Analysis and Computer Science Royal Institute of Technology Stockholm Sweden Division of Human Brain Research Department of Neuroscience Karolinska Institute Stockholm Sweden Department of Data and Information Fusion Swedish Defence Research Agency Stockholm Sweden

ISBN: (纸本)0769512186

Discusses how emerging object-relational database mediator technology can be used to integrate academic freeware and commercial-off-the-shelf software components to create a sequence of gradually more complex and powerful, yet always syntactically and semantically homogeneous, database-centred image meta-analysis environments. We show how this may be done by defining and utilising a use-case-based evolutionary design and development process. This process allows subsystems to be produced largely independently by several small specialist subprojects, turning the system integration work into a high-level domain modelling task.

关键词： Image databases Relational databases Numerical analysis Humans Image storage Object oriented databases Visual databases computer science Neuroscience Process design

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