accurate depth-of-field rendering using adaptive bilateral depth filtering

ISCAS OpenIR

	accurate depth-of-field rendering using adaptive bilateral depth filtering
	Wu Shang; Yu Kai; Sheng Bin; Huang Feiyue; Gao Feng; Ma Lizhuang
	2012
会议名称	1st International Conference on Computational Visual Media, CVM 2012
会议录名称	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
页码	258-265
会议日期	November 8, 2012 - November 10, 2012
会议地点	Beijing, China
收录类别	EI
ISSN	0302-9743
ISBN	9783642342622
部门归属	(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
摘要	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.
关键词	Artificial Intelligence
主办者	ACM SIGGRAPH; China Computer Federation; Tsinghua University
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/15884
专题	中国科学院软件研究所
推荐引用方式 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.