期刊
COMPUTER GRAPHICS FORUM
卷 31, 期 2, 页码 393-402出版社
WILEY
DOI: 10.1111/j.1467-8659.2012.03018.x
关键词
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资金
- National Science Foundation [IIS 0940723]
- Div Of Information & Intelligent Systems
- Direct For Computer & Info Scie & Enginr [0940723] Funding Source: National Science Foundation
Rendering massive 3D models in real-time has long been recognized as a very challenging problem because of the limited computational power and memory space available in a workstation. Most existing rendering techniques, especially level of detail (LOD) processing, have suffered from their sequential execution natures. We present a GPU-based approach which enables interactive rendering of large 3D models with hundreds of millions of triangles. Our work contributes to the massive rendering research in two ways. First, we present a simple and efficient mesh simplification algorithm towards GPU architecture. Second, we propose a novel GPU out-of-core approach that adopts a frame-to-frame coherence scheme in order to minimize the high communication cost between CPU and GPU. Our results show that the parallel algorithm of mesh simplification and the GPU out-of-core approach significantly improve the overall rendering performance.
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