| Robust bilayer segmentation and motion/depth estimation with a handheld camera. | |
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MedLine Citation:
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PMID: 20530810 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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Extracting high-quality dynamic foreground layers from a video sequence is a challenging problem due to the coupling of color, motion, and occlusion. Many approaches assume that the background scene is static or undergoes the planar perspective transformation. In this paper, we relax these restrictions and present a comprehensive system for accurately computing object motion, layer, and depth information. A novel algorithm that combines different clues to extract the foreground layer is proposed, where a voting-like scheme robust to outliers is employed in optimization. The system is capable of handling difficult examples in which the background is nonplanar and the camera freely moves during video capturing. Our work finds several applications, such as high-quality view interpolation and video editing. |
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Authors:
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Guofeng Zhang; Jiaya Jia; Wei Hua; Hujun Bao |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: IEEE transactions on pattern analysis and machine intelligence Volume: 33 ISSN: 1939-3539 ISO Abbreviation: IEEE Trans Pattern Anal Mach Intell Publication Date: 2011 Mar |
Date Detail:
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Created Date: 2011-04-21 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9885960 Medline TA: IEEE Trans Pattern Anal Mach Intell Country: United States |
Other Details:
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Languages: eng Pagination: 603-17 Citation Subset: IM |
Affiliation:
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State Key Lab of CAD&CG, Zhejiang University, Zijingang Campus, Hangzhou, PR China. zhangguofeng@cad.zju.edu.cn |
Export Citation:
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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