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Conference Paper: Pose estimation from reflections for specular surface recovery

TitlePose estimation from reflections for specular surface recovery
Authors
KeywordsClosed form solutions
Colinearity
Incident rays
Pose estimation
Reference plane
Issue Date2011
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000149
Citation
The 2011 IEEE International Conference on Computer Vision (ICCV), Barcelona, Spain, 6-13 November 2011. In Proceedings of IEEE ICCV, 2011, p. 579-586 How to Cite?
AbstractThis paper addresses the problem of estimating the poses of a reference plane in specular shape recovery. Unlike existing methods which require an extra mirror or an extra reference plane and camera, our proposed method recovers the poses of the reference plane directly from its reflections on the specular surface. By establishing reflection correspondences on the reference plane in three distinct poses, our method estimates the poses of the reference plane in two steps. First, by applying a colinearity constraint to the reflection correspondences, a simple closed-form solution is derived for recovering the poses of the reference plane relative to its initial pose. Second, by applying a ray incidence constraint to the incident rays formed by the reflection correspondences and the visual rays cast from the image, a closed-form solution is derived for recovering the poses of the reference plane relative to the camera. The shape of the specular surface then follows. Experimental results on both synthetic and real data are presented, which demonstrate the feasibility and accuracy of our proposed method. © 2011 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/137656
ISBN
ISSN
2023 SCImago Journal Rankings: 12.263

 

DC FieldValueLanguage
dc.contributor.authorLiu, Men_US
dc.contributor.authorWong, KKYen_US
dc.contributor.authorDai, Zen_US
dc.contributor.authorChen, Zen_US
dc.date.accessioned2011-08-26T14:30:34Z-
dc.date.available2011-08-26T14:30:34Z-
dc.date.issued2011en_US
dc.identifier.citationThe 2011 IEEE International Conference on Computer Vision (ICCV), Barcelona, Spain, 6-13 November 2011. In Proceedings of IEEE ICCV, 2011, p. 579-586en_US
dc.identifier.isbn978-1-4577-1102-2-
dc.identifier.issn1550-5499-
dc.identifier.urihttp://hdl.handle.net/10722/137656-
dc.description.abstractThis paper addresses the problem of estimating the poses of a reference plane in specular shape recovery. Unlike existing methods which require an extra mirror or an extra reference plane and camera, our proposed method recovers the poses of the reference plane directly from its reflections on the specular surface. By establishing reflection correspondences on the reference plane in three distinct poses, our method estimates the poses of the reference plane in two steps. First, by applying a colinearity constraint to the reflection correspondences, a simple closed-form solution is derived for recovering the poses of the reference plane relative to its initial pose. Second, by applying a ray incidence constraint to the incident rays formed by the reflection correspondences and the visual rays cast from the image, a closed-form solution is derived for recovering the poses of the reference plane relative to the camera. The shape of the specular surface then follows. Experimental results on both synthetic and real data are presented, which demonstrate the feasibility and accuracy of our proposed method. © 2011 IEEE.-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000149-
dc.relation.ispartofIEEE International Conference on Computer Vision Proceedingsen_US
dc.subjectClosed form solutions-
dc.subjectColinearity-
dc.subjectIncident rays-
dc.subjectPose estimation-
dc.subjectReference plane-
dc.titlePose estimation from reflections for specular surface recoveryen_US
dc.typeConference_Paperen_US
dc.identifier.emailLiu, M: mmliu@cs.hku.hken_US
dc.identifier.emailWong, KKY: kykwong@cs.hku.hk-
dc.identifier.emailDai, Z: dai@fias.uni-frankfurt.de-
dc.identifier.emailChen, Z: zhchen@cs.hku.hk-
dc.identifier.authorityWong, KKY=rp01393en_US
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICCV.2011.6126291-
dc.identifier.scopuseid_2-s2.0-84863060768-
dc.identifier.hkuros191686en_US
dc.identifier.spage579-
dc.identifier.epage586-
dc.publisher.placeUnited States-
dc.description.otherThe 2011 IEEE International Conference on Computer Vision (ICCV), Barcelona, Spain, 6-13 November 2011. In Proceedings of IEEE ICCV, 2011, p. 579-586-
dc.identifier.issnl1550-5499-

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