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| accurate depth-of-field rendering using adaptive bilateral depth filtering | |
| Wu Shang; Yu Kai; Sheng Bin; Huang Feiyue; Gao Feng; Ma Lizhuang | |
| 2012 | |
| Conference Name | 1st International Conference on Computational Visual Media, CVM 2012 |
| Source | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 258-265 |
| Conference Date | November 8, 2012 - November 10, 2012 |
| Conference Place | Beijing, China |
| Indexed Type | EI |
| ISSN | 0302-9743 |
| ISBN | 9783642342622 |
| Department | (1) Department of Computer Science and Engineering Shanghai Jiao Tong University China; (2) State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences China; (3) Tencent Research Gumei Road 1528 Shanghai 200233 China |
| English Abstract | Real-time depth of field (DoF) rendering is crucial to realistic image synthesis and VR applications. This paper presents a new method to simulate the depth-of-field effects with bilateral depth filtering. Unlike the traditional rendering methods that handle the depth-of-field with Gaussian filtering, we develop a new DoF filter, called adaptive bilateral depth filter, to adaptively postfilter the pixels according to their depth variance. Depth information is used to focus on the objects with edge-preserving property. Our approach can eliminate the artifacts of intensity leakage, which can generate adaptive high-quality DoF rendering effects dynamically, and can be fully implemented in GPU parallelization. © 2012 Springer-Verlag.; Real-time depth of field (DoF) rendering is crucial to realistic image synthesis and VR applications. This paper presents a new method to simulate the depth-of-field effects with bilateral depth filtering. Unlike the traditional rendering methods that handle the depth-of-field with Gaussian filtering, we develop a new DoF filter, called adaptive bilateral depth filter, to adaptively postfilter the pixels according to their depth variance. Depth information is used to focus on the objects with edge-preserving property. Our approach can eliminate the artifacts of intensity leakage, which can generate adaptive high-quality DoF rendering effects dynamically, and can be fully implemented in GPU parallelization. © 2012 Springer-Verlag. |
| Keyword | Artificial Intelligence |
| Sponsorship | ACM SIGGRAPH; China Computer Federation; Tsinghua University |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/15884 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Wu Shang,Yu Kai,Sheng Bin,et al. accurate depth-of-field rendering using adaptive bilateral depth filtering[C],2012:258-265. |
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