Institutional Repository
| kd-tree based parallel adaptive rendering | |
| Liu Xiao-Dan; Wu Jia-Ze; Zheng Chang-Wen | |
| 2012 | |
| Source | Visual Computer
 |
| ISSN | 1782789 |
| Volume | 28Issue:41068Pages:613-623 |
| English Abstract | Multidimensional adaptive sampling technique is crucial for generating high quality images with effects such as motion blur, depth-of-field and soft shadows, but it costs a lot of memory and computation time. We propose a novel kd-tree based parallel adaptive rendering approach. First, a two-level framework for adaptive sampling in parallel is introduced to reduce the computation time and control the memory cost: in the prepare stage, we coarsely sample the entire multidimensional space and use kd-tree structure to separate it into several multidimensional subspaces; in the main stage, each subspace is refined by a sub kd-tree and rendered in parallel. Second, novel kd-tree based strategies are introduced to measure space's error value and generate anisotropic Poisson disk samples. The experimental results show that our algorithm produces better quality images than previous ones. © 2012 Springer-Verlag. |
| Indexed Type | ei |
| Department | (1) National Key Laboratory of Integrated Information System Technology, Institute of Software, Chinese Academy of Sciences, Beijing, China; (2) Graduate University of Chinese Academy of Sciences, Beijing, China |
| Language | 英语 |
| WOS ID | WOS:000304411500010 |
| Citation statistics | |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/14708 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Liu Xiao-Dan,Wu Jia-Ze,Zheng Chang-Wen. kd-tree based parallel adaptive rendering[J]. Visual Computer,2012,28(41068):613-623. |
| APA | Liu Xiao-Dan,Wu Jia-Ze,&Zheng Chang-Wen.(2012).kd-tree based parallel adaptive rendering.Visual Computer,28(41068),613-623. |
| MLA | Liu Xiao-Dan,et al."kd-tree based parallel adaptive rendering".Visual Computer 28.41068(2012):613-623. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| e55689560135228g.pdf（2700KB） | 开放获取 | License | Application Full Text | |||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment