2004
DOI: 10.1016/j.cag.2003.12.008
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High performance SIMD marching cubes isosurface extraction on commodity computers

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Cited by 13 publications
(3 citation statements)
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“…and the real manmade buildings, we need to use realistic image rendering technology including anti-aliasing, shading, illumination, shadow, material texture, blending and atomization techniques [14][15][16]. Photorealistic rendering directly affects the authenticity and visual effects of the scene, however, the realistic rendering and real-time rendering is two issues against each other.…”
Section: A Realistic Iimage Rendering Technologymentioning
confidence: 99%
“…and the real manmade buildings, we need to use realistic image rendering technology including anti-aliasing, shading, illumination, shadow, material texture, blending and atomization techniques [14][15][16]. Photorealistic rendering directly affects the authenticity and visual effects of the scene, however, the realistic rendering and real-time rendering is two issues against each other.…”
Section: A Realistic Iimage Rendering Technologymentioning
confidence: 99%
“…As much as we know, there are no continuation‐based and Delaunay triangulation algorithms designed to parallel processing on graphics processing unit (GPU), in particular using compute unified device architecture (CUDA) and open computing language (OpenCL). In the category of space partitioning algorithms, we find some parallel implementations of the marching cubes (MCs) algorithm .…”
Section: Introductionmentioning
confidence: 99%
“…As much as we know, there are no continuation-based and Delaunay triangulation algorithms designed to parallel processing on graphics processing unit (GPU), in particular using compute unified device architecture (CUDA) and open computing language (OpenCL). In the category of space partitioning algorithms, we find some parallel implementations of the marching cubes (MCs) algorithm [10].Depending on the data input, MCs algorithms can be classified into three categories: volumetric datasets, level sets, and atom sets. Originally, the MCs algorithm was designed for extracting isosurfaces from medical volume datasets [11].…”
mentioning
confidence: 99%