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IEEE Conference on visualization

作者： M. Wan A. Kaufman S. Bryson Center for Visual Computing and Department of Computer Science State University of New York Stony Brook NY USA NASA Ames Research Center Moffett Field CA USA

ISBN: (纸本)078035897X

We present a novel presence acceleration for volumetric ray casting. A highly accurate estimation for object presence is obtained by projecting all grid cells associated with the object boundary on the image plane. Memory space and access time are reduced by run-length encoding of the boundary cells, while boundary cell projection time is reduced by exploiting projection templates and multiresolution volumes. Efforts have also been made towards a fast perspective projection as well as interactive classification. We further present task partitioning schemes for effective parallelization of both boundary cell projection and ray traversal procedures. Good load balancing has been reached by taking full advantage of both the optimizations in the serial rendering algorithm and shared-memory architecture. Our experimental results on a 16-processor SGI Power Challenge have shown interactive rendering rates for 256/sup 3/ volumetric data sets at 10-30 Hz. We describe the theory and implementation of our algorithm, and shows its superiority over the shear-warp factorization approach.

关键词： Casting Electrical capacitance tomography Acceleration Encoding Load management Spatial resolution computer science NASA Partitioning algorithms Memory architecture

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High performance presence-accelerated ray casting 99

High performance presence-accelerated ray casting

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Proceedings of the conference on visualization '99: celebrating ten years

作者： Ming Wan Arie Kaufman Steve Bryson Center for Visual Computing (CVC) and Department of Computer Science State University of New York at Stony Brook Stony Brook NY NASA Ames Research Center Moffett Field CA

ISBN: (纸本)9780780358973

We present a novel presence acceleration for volumetric ray casting. A highly accurate estimation for object presence is obtained by projecting all grid cells associated with the object boundary on the image plane. Memory space and access time are reduced by run-length encoding of the boundary cells, while boundary cell projection time is reduced by exploiting projection templates and multiresolution volumes. Efforts have also been made towards a fast perspective projection as well as interactive classification. We further present task partitioning schemes for effective parallelization of both boundary cell projection and ray traversal procedures. Good load balancing has been reached by taking full advantage of both the optimizations in the serial rendering algorithm and shared-memory architecture. Our experimental results on a 16-processor SGI Power Challenge have shown interactive rendering rates for 2563 volumetric data sets at 10 - 30 Hz. This paper describes the theory and implementation of our algorithm, and shows its superiority over the shear-warp factorization approach.

关键词： interactive classification

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Real-time Biomechanically-based Muscle Volume Deformation using FEM

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computer Graphics Forum 1998年第3期17卷 C274-C284页

作者： Zhu, Qing-Hong Chen, Yan Kaufman, Arie Center for Visual Computing Department of Computer Science State Univ. New York at Stony Brook Stony Brook NY 11794-4400 United States

This paper presents a voxel-based biomechanical model for muscle deformation using finite element method (FEM) and volume graphics. Hierarchical voxel meshes are reconstructed from filtered segmented muscle images followed by FEM simulation and volume rendering. Physiological muscle force is considered and linear elastic muscle models for both static and dynamic cases are simulated by FEM. Voxel-based wireframe, polygon surface rendering, and volume rendering techniques are applied to show real-time muscle deformation processes as well as realistic animations.

关键词： voxel-based biomechanically-based muscle modeling real-time muscle simulation finite element method hierarchical representation volume graphics volumetric deformation

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Adaptive perspective ray casting

Adaptive perspective ray casting

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IEEE Symposium on Volume visualization and Graphics

作者： K. Kreeger I. Bitter F. Dachille B. Chen A. Kaufman Center for Visual Computing (CVC) and Department of Computer Science State University of New York Stony Brook Stony Brook NY USA

We present a method to accurately and efficiently perform perspective volumetric ray casting of uniform regular datasets, called Exponential-Region (ER) Perspective. Unlike previous methods which undersample, oversample, or approximate the data, our method near uniformly samples the data throughout the viewing volume. In addition, it gains algorithmic advantages from a regular sampling pattern and cache-coherent read access, making it an algorithm well suited for implementation on hardware architectures for volume rendering. We qualify the algorithm by its filtering characteristics and demonstrate its effectiveness by contrasting its antialiasing quality and timing with other perspective ray casting methods.

关键词： Casting Erbium Sampling methods Hardware Filtering algorithms Timing

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Object voxelization by filtering

Object voxelization by filtering

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IEEE Symposium on Volume visualization and Graphics

作者： M. Sramek A. Kaufman Department of Computer Science State University of New York Stony Brook USA Center for Visual Computing CVC State University of New York Stony Brook Stony Brook NY USA

The authors analyze different filters used for the voxelization of analytically described objects. They show that, when the voxel model is used for visualization, the filter design is related to the subsequent rendering phase, namely the gradient estimation technique. The theoretical and experimental analyses show that, in order to avoid a systematic error in normal estimation, the density profile near the surface should be linearly proportional to the distance from the surface. Optimal thickness of this transient region has been estimated to be about 3 voxel units. Based on these results, they propose a technique for voxelization of arbitrary parametric surfaces, using a hierarchical subdivision of the 2D surface domain.

关键词： Filters Filtering visualization Phase estimation Estimation error

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Physically-based animation of volumetric objects

Physically-based animation of volumetric objects

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computer Animation

作者： Y. Chen Qing-Hong Zhu A. Kaufman S. Muraki Center for Visual Computing CVC and Department of Computer Science State University of New York Stony Brook Stony Brook NY USA Machine Understanding Division Electro Technical Laboratory Tsukuba Ibaraki Japan

The paper presents a voxel-based animation technique which employs either a mass-spring model or a finite element model. Two volumetric objects, a voxelized chair and a scanned muscle, are used as case studies with the two different models. The mass-spring model is used to show an animation sequence of a falling and bouncing chair: wireframe display and volume rendering are used to display a real-time animation of the process. In addition, a real-time simulation is carried out by the finite element method (FEM) of a voxel-based multi-resolution muscle mesh. Two techniques, a direct integration and a simplified modal analysis method are discussed in the context of applying FEM for muscle deformation. Local deformation optimization with modal analysis for higher resolution muscle volumetric animation, which allows accurate prediction of muscle deformation changes, has been used. Physiological muscle force has been considered and a biomechanically-based 3D FEM muscle model has been implemented. Realistic animations have been produced based on the FEM simulation with various graphics techniques.

关键词： Animation Electrical capacitance tomography Springs Microwave integrated circuits computer science Laboratories Hair Reactive power computer graphics Spline

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Accelerated ray-casting for curvilinear volumes

Accelerated ray-casting for curvilinear volumes

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IEEE Conference on visualization

作者： L. Hong A. Kaufman Software Production Research Department Cardiac Investigation Unit St Vincents Hospital Naperville IL USA Center for Visual Computing (CVC) and Department of Computer Science State University of New York Stony Brook Stony Brook NY USA

We present an efficient and robust ray-casting algorithm for directly rendering a curvilinear volume of arbitrarily-shaped cells. We designed the algorithm to alleviate the consumption of CPU power and memory space. By incorporating the essence of the projection paradigm into the ray-casting process, we have successfully accelerated the ray traversal through the grid and data interpolations at sample points. Our algorithm also overcomes the conventional limitation requiring the cells to be convex. Application of this algorithm to several commonly-used curvilinear data sets has produced a favorable performance when compared with recently reported algorithms.

关键词： Acceleration Aerodynamics Data visualization Space technology Grid computing Computational fluid dynamics Computational modeling Production computer science Robustness

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Multiresolution tetrahedral framework for visualizing regular volume data 97

Multiresolution tetrahedral framework for visualizing regula...

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Proceedings of the 8th conference on visualization '97

作者： Yong Zhou Baoquan Chen Arie Kaufman Center for Visual Computing and Department of Computer Science State University of New York at Stony Brook Stony Brook NY

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Multiresolution tetrahedral framework for visualizing regular volume data

Multiresolution tetrahedral framework for visualizing regula...

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IEEE Conference on visualization

作者： Yong Zhou Baoquan Chen A. Kaufman Center for Visual Computing and Department of Computer Science State University of New York Stony Brook Stony Brook NY USA

The authors present a multiresolution framework, called Multi-Tetra framework, that approximates volume data with different levels-of-detail tetrahedra. The framework is generated through a recursive subdivision of the volume data and is represented by binary trees. Instead of using a certain level of the Multi-Tetra framework for approximation, an error-based model (EBM) is generated by recursively fusing a sequence of tetrahedra from different levels of the Multi-Tetra framework. The EBM significantly reduces the number of voxels required to model an object, while preserving the original topology. The approach provides continuous distribution of rendered intensity or generated isosurfaces along boundaries of different levels-of-detail thus solving the crack problem. The model supports typical rendering approaches, such as marching cubes, direct volume projection, and splatting. Experimental results demonstrate the strengths of the approach.

关键词： Data visualization Rendering (computer graphics) computer graphics Isosurfaces Data mining Displays Image resolution computer science Binary trees Topology

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Interactive volume rendering for virtual colonoscopy 97

Interactive volume rendering for virtual colonoscopy

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Proceedings of the 8th conference on visualization '97

作者： Suya You Lichan Hong Ming Wan Kittiboon Junyaprasert Arie Kaufman Shigeru Muraki Yong Zhou Mark Wax Zhengrong Liang Center for Visual Computing and Departments of Computer Science and Radiology State University of New York at Stony Brook Stony Brook NY

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