Object removal in multi-view images using disparity layering and piecewise homography

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dc.contributor.authorHo, Tan
dc.contributor.authorDansereau, Richard M.
dc.contributor.authorDubois, Eric
dc.date.accessioned2013-06-05T13:25:23Z
dc.date.available2013-06-05T13:25:23Z
dc.date.created2012
dc.date.issued2012
dc.identifier.citationT. Ho, R. M. Dansereau, and E. Dubois “Object removal in multi-view images using disparity layering and piecewise homography,” in Proc. International Conference on Electrical and Computer Systems (ICECS 2012), Ottawa, August 2012, pp. 191-1 - 191-8.
dc.identifier.urihttp://hdl.handle.net/10393/24222
dc.identifier.urihttp://International-ASET.com
dc.description.abstractIn this paper, object removal in multi-view images is considered where occluded image information is synthesized from other views through disparity estimation to build layered depth maps and then a piecewise homography is used to transform occluded information from other views. Experimental results show improved performance over single homography transforms in synthesizing the occluded image information after the object is removed.
dc.description.sponsorshipNSERC
dc.language.isoen
dc.subjectobject removal
dc.subjectpiecewise homography
dc.subjectdisparity layering
dc.subjectmulti-view
dc.titleObject removal in multi-view images using disparity layering and piecewise homography
dc.typeConference Proceeding
CollectionScience informatique et génie électrique - Publications // Electrical Engineering and Computer Science - Publications

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