Institutional Repository
| Anisotropic progressive photon mapping | |
| Liu, XiaoDan (1); Zheng, ChangWen (1) | |
| 2014 | |
| Conference Name | 5th International Conference on Graphic and Image Processing, ICGIP 2013 |
| Conference Date | October 26, 2013 - October 27, 2013 |
| Conference Place | Hong Kong, China |
| Indexed Type | CPCI ; EI |
| Publish Place | SPIE, P.O. Box 10, Bellingham, WA 98227-0010, United States |
| ISSN | 0277786X |
| ISBN | 9781628410013 |
| Department | (1) National Key Laboratory of Integrated Information System Technology, Institute of Software, Chinese Academy of Sciences, Beijing, China; (2) University of Chinese Academy of Sciences, Beijing, China |
| English Abstract | Progressive photon mapping solves the memory limitation problem of traditional photon mapping. It gives the correct radiance with a large passes, but it converges slowly. We propose an anisotropic progressive photon mapping method to generate high quality images with a few passes. During the rendering process, different from standard progressive photon mapping, we store the photons on the surfaces. At the end of each pass, an anisotropic method is employed to compute the radiance of each eye ray based on the stored photons. Before move to a new pass, the photons in the scene are cleared. The experiments show that our method generates better results than the standard progressive photon mapping in both numerical and visual qualities. © 2014 Copyright SPIE.; Progressive photon mapping solves the memory limitation problem of traditional photon mapping. It gives the correct radiance with a large passes, but it converges slowly. We propose an anisotropic progressive photon mapping method to generate high quality images with a few passes. During the rendering process, different from standard progressive photon mapping, we store the photons on the surfaces. At the end of each pass, an anisotropic method is employed to compute the radiance of each eye ray based on the stored photons. Before move to a new pass, the photons in the scene are cleared. The experiments show that our method generates better results than the standard progressive photon mapping in both numerical and visual qualities. © 2014 Copyright SPIE. |
| Keyword | K-nearest Photons Progressive Photon Mapping Kernel Estimator Anisotropic |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16551 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Liu, XiaoDan ,Zheng, ChangWen . Anisotropic progressive photon mapping[C]. SPIE, P.O. Box 10, Bellingham, WA 98227-0010, United States,2014. |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment