Results 191 to 200 of about 597,467 (210)
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Volume rendering on the Internet

Proceedings. First International Symposium on 3D Data Processing Visualization and Transmission, 2003
Volume rendering is a well-developed technology for visualization. It had been used for medical data visualization in both research and clinic. The massive growths of the Internet and the World Wide Web lead us to a completely new way of looking at the development and distribution of visualization software.
Wen Qi, Zhijian Song, Guoqiang Wu
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Rendering volumes with microvoxels

SIGGRAPH 2009: Talks, 2009
The REYES [Cook et al. 1987] rendering architecture is a well known divide and conquer rendering algorithm. The algorithm subdivides complex primitives into micropolygons which are then shaded and sampled to produce final pixel colors. The most important advantage of the REYES algorithm over other rendering approaches such as raytracing is that shading
Mark Elendt, Andrew Clinton
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On the Optimization of Projective Volume Rendering

1995
How to render very complex datasets,and yet maintain interactive responsetimes, is a hot topic in volume rendering. In this paper we focuson projective visualization of datasets represented via tetrahedral tessellations. Direct projective visualization is performed by sorting tetrahedra with respect to view direction and then by projecting themonto the
Cignoni P   +3 more
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Direct volume rendering of curvilinear volumes

Proceedings of the 1990 workshop on Volume visualization, 1990
Direct volume rendering can visualize sampled 3D scalar data as a continuous medium or extract features. However, it is generally slow. Furthermore, most algorithms for direct volume rendering have assumed rectilinear gridded data. This paper discusses methods for using direct volume rendering when the original volume is curvilinear, i.e., is divided ...
Arsi Vaziri   +4 more
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View Selection for Volume Rendering

VIS 05. IEEE Visualization, 2005., 2006
In a visualization of a three-dimensional dataset, the insights gained are dependent on what is occluded and what is not. Suggestion of interesting viewpoints can improve both the speed and efficiency of data understanding. This paper presents a view selection method designed for volume rendering.
U.D. Bordoloi, Han-Wei Shen
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Parallel volume rendering

Proceedings of 9th International Parallel Processing Symposium, 2002
Several methods have been developed to visualize three dimensional volume data on multiprocessor computer systems. Most of these algorithms were strongly adapted to the underlying target architecture, and often did not take account requirements such as scalability, portability, or memory minimization.
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A Multiresolution Framework for Volume Rendering

Proceedings of the 1994 symposium on Volume visualization - VVS '94, 1994
In dieser Arbeit wurde ein genereller hierarchischer Ansatz zur Visualisierung skalarer Volumendaten entwickelt. Dieser ermoglicht die direkte Visualisierung komprimierter Daten, die Beschleunigung des Darstellungsvorgangs und die Extraktion und Hervorhebung der wesentlichen Strukturen.
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Stereoscopic Volume Rendering

1998
In this paper we describe the extension of a parallel, distributed, direct volume renderer for use with a novel auto-stereoscopic display. We begin by briefly describing the target application of our research, radiation therapy planning, why we believe that stereoscopic viewing may be helpful for this, and the design of our DVR system.
David Hancock   +2 more
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Rendering of Surface and Volume Details in Volume Data*

Computer Graphics Forum, 1995
Abstract:Aiming at the detail rendering in volume data, a new volume illumination model, called Composed Scattering Model (CSM), is presented. In order to enhance different details in volume data, scattering intensity is decomposed into volume scattering intensity and surface scattering intensity with different weight functions.
Jiaoying Shi, Wenli Cai, Tianzhou Chen
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Volume Rendering and Data Feature Enhancement [PDF]

open access: possibleACM SIGGRAPH Computer Graphics, 1990
This paper describes a general visualization model for 3D scalar data fields based on linear transport theory which contains common volume rendering models as special cases and/or approximations. The concept of "virtual" particles for the extraction of information from data fields is introduced.
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