| Title: | accurate depth-of-field rendering using adaptive bilateral depth filtering |
| Author: | Wu Shang
; Yu Kai
; Sheng Bin
; Huang Feiyue
; Gao Feng
; Ma Lizhuang
|
| Source: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
|
| Conference Name: | 1st International Conference on Computational Visual Media, CVM 2012
|
| Conference Date: | November 8, 2012 - November 10, 2012
|
| Issued Date: | 2012
|
| Conference Place: | Beijing, China
|
| Keyword: | Artificial intelligence
|
| 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
|
| Sponsorship: | ACM SIGGRAPH; China Computer Federation; Tsinghua University
|
| 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. |
| 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. |
| Language: | 英语
|
| Content Type: | 会议论文
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| URI: | http://ir.iscas.ac.cn/handle/311060/15884
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| Appears in Collections: | 软件所图书馆_会议论文
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| Recommended Citation: | |
Wu Shang,Yu Kai,Sheng Bin,et al. accurate depth-of-field rendering using adaptive bilateral depth filtering[C]. 见:1st International Conference on Computational Visual Media, CVM 2012. Beijing, China. November 8, 2012 - November 10, 2012.
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