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Message from the Program Co-Chairs

Message from the Program Co-Chairs

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Proceedings - Graphics Interface 2003

作者： Moller, Torsten Ware, Colin Graphics Usability/Visualisation Lab School of Computing Science Simon Fraser University Canada Data Visualization Research Lab Center for Coastal and Ocean Mapping University of New Hampshire United States

No abstract available

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A testbed for studying and choosing predictive tracking algorithms in virtual environments 03

A testbed for studying and choosing predictive tracking algo...

引用

Proceedings of the workshop on Virtual environments 2003

作者： Joseph J. LaViola Brown University Technology Center for Advanced Scientific Computing and Visualization Providence RI

ISBN: (纸本)9781581136869

We present a testbed for comparing predictive tracking algorithms that allows virtual environment system developers to make better choices about which predictors to use in their environments and aids researchers in determining how predictors work across various virtual environment configurations. Our testbed saves the virtual environment developer and researcher both time and effort with the important task of reducing dynamic tracking error and masking latency. The testbed consists of three components: a prediction algorithm library, a motion data repository, and a graphical testing application which provides users with the ability to test different predictive tracking algorithms across a variety of user motion sequences. The testbed provides enough generality for testing across different algorithmic and system parameters such as sampling rate, prediction time, and noise variance. The paper describes the contents of the predictor library and how to extend it, the types of motion data sets collected thus far, the motion data preparation methodology, and the graphical testing application's functionality and architecture. A simple testing scenario showing output from the testbed is also presented.

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Double exponential smoothing: an alternative to Kalman filter-based predictive tracking 03

Double exponential smoothing: an alternative to Kalman filte...

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Proceedings of the workshop on Virtual environments 2003

作者： Joseph J. LaViola Brown University Technology Center for Advanced Scientific Computing and Visualization Providence RI

ISBN: (纸本)9781581136869

We present novel algorithms for predictive tracking of user position and orientation based on double exponential smoothing. These algorithms, when compared against Kalman and extended Kalman filter-based predictors with derivative free measurement models, run approximately 135 times faster with equivalent prediction performance and simpler implementations. This paper describes these algorithms in detail along with the Kalman and extended Kalman Filter predictors tested against. In addition, we describe the details of a predictor experiment and present empirical results supporting the validity of our claims that these predictors are faster, easier to implement, and perform equivalently to the Kalman and extended Kalman filtering predictors.

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An experiment comparing double exponential smoothing and Kalman filter-based predictive tracking algorithms

An experiment comparing double exponential smoothing and Kal...

引用

IEEE Annual International Symposium Virtual Reality

作者： J.J. LaViola Advanced Scientific Computing and Visualization Brown University Technology Center Providence RI USA

We present an experiment comparing double exponential smoothing and Kalman filter-based predictive tracking algorithms with derivative free measurement models. Our results show that the double exponential smoothers run approximately 135 times faster with equivalent prediction performance. The paper briefly describes the algorithms used in the experiment and discusses the results.

关键词： Smoothing methods Kalman filters Prediction algorithms Equations Vectors Predictive models Quaternions Interpolation Scientific computing visualization

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A comparison of unscented and extended Kalman filtering for estimating quaternion motion

A comparison of unscented and extended Kalman filtering for ...

引用

American Control Conference (ACC)

作者： J.J. LaViola For Advanced Scientific Computing and Visualization Brown University Technology Center Providence RI USA

The unscented Kalman filter is a superior alternative to the extended Kalman filter for a variety of estimation and control problems. However, its effectiveness for improving human motion tracking for virtual reality applications in the presence of noisy data has been unexplored. In this paper, we present an empirical study comparing the performance of unscented and extended Kalman filtering for improving human head and hand tracking. Specifically, we examine human head and hand orientation motion signals, represented with quaternions, which are critical for correct viewing perspectives in virtual reality. Our experimental results and analysis indicate that unscented Kalman filtering performs equivalently with extended Kalman filtering. However, the additional computational overhead of the unscented Kalman filter and quasi-linear nature of the quaternion dynamics lead to the conclusion that the extended Kalman filter is a better choice for estimating quaternion motion in virtual reality applications.

关键词： Kalman filters Filtering Motion estimation Quaternions Virtual reality Humans Tracking Head Application software Jacobian matrices

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Parallel cell projection rendering of adaptive mesh refinement data

Parallel cell projection rendering of adaptive mesh refineme...

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IEEE Symposium on Parallel and Large-Data visualization and Graphics (PVG)

作者： G.H. Weber M. Ohler O. Kreylos J.M. Shalf E.W. Bethel B. Hamann G. Scheuermann Visualization Group National Energy Research Scientific Computing Center (NERSC) Lawrence Berkeley National Laboratory Berkeley CA USA AG Graphische Datenverabeitung und Computergeometrie FB Informatik University of Kaiserslautern Kaiserslautern Germany Center for Image Processing and Integrated Computing Center for Image Processing and Integrated Computing (CIPIC) Department of Computer Science University of California Davis CA USA Center for Image Processing and Integrated Computing Department of Computer Science University of California Davis CA USA

Adaptive mesh refinement (AMR) is a technique used in numerical simulations to automatically refine (or de-refine) certain regions of the physical domain in a finite difference calculation. AMR data consists of nested hierarchies of data grids. As AMR visualization is still a relatively unexplored topic, our work is motivated by the need to perform efficient visualization of large AMR data sets. We present a software algorithm for parallel direct volume rendering of AMR data using a cell-projection technique on several different parallel platforms. Our algorithm can use one of several different distribution methods, and we present performance results for each of these alternative approaches. By partitioning an AMR data set into blocks of constant resolution and estimating rendering costs of individual blocks using an application specific benchmark, it is possible to achieve even load balancing.

关键词： Adaptive mesh refinement Data visualization Rendering (computer graphics) Spatial resolution Partitioning algorithms Load management Parallel programming Graphics Physics computing Computational efficiency

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Scalability of a low-cost multi-Teraflop Linux cluster for high-end classical atomistic and quantum mechanical simulations

Scalability of a low-cost multi-Teraflop Linux cluster for h...

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International Parallel and Distributed Processing Symposium, IPDPS 2003

作者： Kikuchi, Hideaki Kalia, Rajiv K. Nakano, Aiichiro Vashishta, Priya Shimojo, Fuyuki Saini, Subhash Collaboratory for Multiscale Simulations Department of Computer Science Department of Physics and Astronomy Department of Materials Science Department of Biomedical Engineering University of Southern California Los AngelesCA90089 United States Concurrent Computing Laboratory for Materials Simulations Biological Computation and Visualization Center Department of Computer Science Department of Physics and Astronomy Louisiana State University Baton RougeLA70803 United States Faculty of Integrated Arts and Sciences Hiroshima University Higashi-Hiroshima739-8521 Japan IT Modeling and Simulation NASA Ames Research Center Moffett FieldCA94035 United States

ISBN: (纸本)0769519261

Scalability of a low-cost, Intel Xeon-based, multi-Teraflop Linux cluster is tested for two high-end scientific applications: Classical atomistic simulation based on the molecular dynamics method and quantum mechanical calculation based on the density functional theory. These scalable parallel applications use spacetime multiresolution algorithms and feature computational-space decomposition, wavelet-based adaptive load balancing, and spacefilling-curve-based data compression for scalable I/O. Comparative performance tests are performed on a 1024-processor Linux cluster and a conventional higher-end parallel supercomputer, 1184-processor IBM SP4. The results show that the performance of the Linux cluster is comparable to that of the SP4. We also study various effects, such as the sharing of memory and L2 cache among processors, on the performance. © 2003 IEEE.

关键词： Scalability

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Which comes first, usability or utility?

Which comes first, usability or utility?

引用

IEEE Conference on visualization

作者： G. Grinstein A. Kobsa C. Plaisant J.T. Stasko Institute for Visualization and Perception Research University of Massachusetts Lowell Lowell MA University of California School of Information and Computer Science Irvine CA Human Computer Interaction Laboratory University of Maryland College Park MD Georgia Institute of Technology College of Computing/GVU Center Atlanta GA

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Scalability of a low-cost multi-Teraflop Linux cluster for high-end classical atomistic and quantum mechanical simulations

Scalability of a low-cost multi-Teraflop Linux cluster for h...

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： H. Kikuchi R.K. Kalia A. Nakano P. Vashishta F. Shimojo S. Saini Concurrent Computing Laboratory for Materials Simulations Biological Computation and Visualization Center Department of Computer Science Department of Physics & Astronomy Louisiana State University Baton Rouge LA USA Collaboratory for Multiscale Simulations Department of Computer Science Department of Physics & Astronomy Department of Materials Science Department of Biomedical Engineering University of Southern California Los Angeles CA USA Faculty of Integrated Arts and Sciences Hiroshima University Higashi Hiroshima Japan IT Modeling and Simulation NASA Ames Research Center Moffett Field CA USA

关键词： Scalability Linux Quantum mechanics Computational modeling Testing Density functional theory Clustering algorithms Concurrent computing High performance computing Load management

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Pop through button devices for VE navigation and interaction

Pop through button devices for VE navigation and interaction

引用

IEEE Annual International Symposium Virtual Reality

作者： R.C. Zeleznik J.J. LaViola D. Acevedo Feliz D.F. Keefe Advanced Scientific Computing and Visualization Brown University Technology Center Providence RI USA

ISBN: (纸本)0769514928

Presents a novel class of virtual reality input devices that combine pop-through buttons with 6-DOF trackers. Compared to similar devices that use conventional buttons, pop-through devices double the number of potential discrete interaction modes, since each button has two activation states corresponding to light and firm pressure. This additional state per button provides a foundation to address a range of shortcomings with conventional virtual environment (VE) input devices that includes reducing the physical dexterity required to perform interactions, reducing the cognitive complexity of some compound tasks and enabling the design of less obtrusive devices without sacrificing expressive power. Specifically, we present two novel input devices: the FingerSleeve was designed to be minimally obtrusive physically, whereas the TriggerGun was designed to be physically similar to, yet more functional than a conventional hand-held trigger device. Further, we present a set of novel navigation and interaction techniques that leverage the capabilities of our pop-through button devices to improve interaction quality and provide insight into harnessing the potential of pop-through buttons for other tasks. Finally, we discuss how we incorporated one of our devices into a real application.

关键词： Navigation Fingers Electronic switching systems Scientific computing visualization Virtual environment Virtual reality

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