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检索条件"机构=Scientific Computing and Visualization"
135 条 记 录,以下是121-130 订阅
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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 ...
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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 ... 详细信息
来源: 评论
Curvature-based transfer functions for direct volume rendering: methods and applications
Curvature-based transfer functions for direct volume renderi...
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IEEE Conference on visualization
作者: G. Kindlmann R. Whitaker T. Tasdizen T. Moller Scientific Computing and Imaging Institute University of Utah USA Graphics Usability and Visualization (GrUVi) Laboratory Simon Fraser University Canada
Direct volume rendering of scalar fields uses a transfer function to map locally measured data properties to opacities and colors. The domain of the transfer function is typically the one-dimensional space of scalar d... 详细信息
来源: 评论
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... 详细信息
来源: 评论
Pop through button devices for VE navigation and interaction
Pop through button devices for VE navigation and interaction
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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
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 potenti... 详细信息
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On endmember detection in hyperspectral images with morphological associative memories
On endmember detection in hyperspectral images with morpholo...
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作者: Graña, Manuel Raducanu, Bogdan Sussner, Peter Ritter, Gerhard Dept. CCIA Universidad Pais Vasco Spain Institute of Mathematics Statistics and Scientific Computing State University of Campinas Brazil Center for Computer Vision and Visualization University of Florida United States
Morphological Associative Memories (MAM) are a construct similar to Hopfield Associative Memories defined on the (R,+, ∨, ∧) algebraic system. The MAM posses excellent recall properties for undistorted patterns. How... 详细信息
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A level-set method for flow visualization  00
A level-set method for flow visualization
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Proceedings of the conference on visualization '00
作者: Rüdiger Westermann Christopher Johnson Thomas Ertl Scientific Computing and Visualization Group University of Technology Aachen Scientific Computing and Imaging Institute University of Utah Visualization and Interactive Systems Group University of Stuttgart
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Time Critical Isosurface Refinement and Smoothing
Time Critical Isosurface Refinement and Smoothing
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IEEE Symposium on Volume visualization, VV 2000
作者: Bajaj, C.L. Pascucci, V. Center for Applied Scientific Computing Lawrence Livermore National Laboratory United States Center for Computational Visualization CS and TICAM University of Texas AustinTX United States
Multi-resolution data-structures and algorithms are key in visualization to achieve real-time interaction with large data-sets. Research has been primarily focused on the off-line construction of such representations ... 详细信息
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A level-set method for flow visualization
A level-set method for flow visualization
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IEEE Conference on visualization
作者: R. Westermann C. Johnson T. Ertl Visualization and Interactive Systems Group University of Stuttgart Germany Scientific Computing and Imaging Institute University of Utah USA Scientific Computing and Visualization Group RWTH Aachen University of Technology Germany
We propose a technique for visualizing steady flow. Using this technique, we first convert the vector field data into a scalar level-set representation. We then analyze the dynamic behavior and subsequent distortion o... 详细信息
来源: 评论
Level-of-Detail Volume Rendering via 3D Textures
Level-of-Detail Volume Rendering via 3D Textures
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IEEE Symposium on Volume visualization, VV 2000
作者: Zimmermann, Kurt Westermann, Rüdiger Ertl, Thomas Hansen, Chuck Weiler, Manfred Visualization and Interactive Systems Group University of Stuttgart Germany Scientific Computing and Imaging Institute University of Utah United States Universität Stuttgart IfI Abt. VIS Breitwiesenstr. 20-22 Stuttgart70565 Germany
In this paper we present an adaptive approach to volume rendering via 3D textures at arbitrary levels of detail. The algorithm has been designed to enable interactive exploration of large-scale data sets while providi... 详细信息
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Multi-resolution dynamic meshes with arbitrary deformations  00
Multi-resolution dynamic meshes with arbitrary deformations
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Proceedings of the conference on visualization '00
作者: Ariel Shamir Chandrajit Bajaj Valerio Pascucci Center for Computational Visualization TICAM University of Texas at Austin Center for Applied Scientific Computing Laurence Livermore National Laboratory
来源: 评论