Depth-assisted Real-time 3D Object Detection for Augmented Reality

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dc.contributor.authorWoo, Woontack-
dc.contributor.authorLee, Wonwoo-
dc.contributor.authorPark, Nohyoung-
dc.date.accessioned2013-03-29T13:43:43Z-
dc.date.available2013-03-29T13:43:43Z-
dc.date.created2012-07-23-
dc.date.issued2011-11-
dc.identifier.citationICAT 2011, v., no., pp. --
dc.identifier.urihttp://hdl.handle.net/10203/171120-
dc.description.abstractWe propose a novel method of real-time object detection that can recognize three-dimensional (3D) target objects, regardless of their texture and lighting condition changes. Our method computes a set of reference templates of a target object from both RGB and depth images, which describes the texture and geometry of the object, and fuses them for robust detection.-
dc.languageENG-
dc.titleDepth-assisted Real-time 3D Object Detection for Augmented Reality-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameICAT 2011-
dc.identifier.conferencecountryJapan-
dc.contributor.localauthorWoo, Woontack-
dc.contributor.nonIdAuthorLee, Wonwoo-
dc.contributor.nonIdAuthorPark, Nohyoung-
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GCT-Conference Papers(학술회의논문)
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