A GPU-based Approach for Massive Model Rendering with Frame-to-Frame Coherence
Chao Peng, Yong Cao
In Computer Graphics Forum, 31(2), 2012.
Abstract: 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.
Article URL: http://dx.doi.org/10.1111/j.1467-8659.2012.03018.x
BibTeX format:
@article{Peng:2012:AGA,
  author = {Chao Peng and Yong Cao},
  title = {A GPU-based Approach for Massive Model Rendering with Frame-to-Frame Coherence},
  journal = {Computer Graphics Forum},
  volume = {31},
  number = {2},
  pages = {393--402},
  year = {2012},
}
Search for more articles by Chao Peng.
Search for more articles by Yong Cao.

Return to the search page.


graphbib: Powered by "bibsql" and "SQLite3."