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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
URI: http://ir.iscas.ac.cn/handle/311060/15884
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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