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Conference Paper: Mirror surface reconstruction under an uncalibrated camera

TitleMirror surface reconstruction under an uncalibrated camera
Authors
Issue Date2015
PublisherIEEE Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/servlet/opac?punumber=1000147
Citation
The 2015 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA., 7-12 June 2015. In Conference Proceedings, 2015 How to Cite?
AbstractThis paper addresses the problem of mirror surface reconstruction, and a solution based on observing the reflections of a moving reference plane on the mirror surface is proposed. Unlike previous approaches which require tedious work to calibrate the camera, our method can recover both the camera intrinsics and extrinsics together with the mirror surface from reflections of the reference plane under at least three unknown distinct poses. Our previous work has demonstrated that 3D poses of the reference plane can be registered in a common coordinate system using reflection correspondences established across images. This leads to a bunch of registered 3D lines formed from the reflection correspondences. Given these lines, we first derive an analytical solution to recover the camera projection matrix through estimating the line projection matrix. We then optimize the camera projection matrix by minimizing reprojection errors computed based on a cross-ratio formulation. The mirror surface is finally reconstructed based on the optimized cross-ratio constraint. Experimental results on both synthetic and real data are presented, which demonstrate the feasibility and accuracy of our method.
Persistent Identifierhttp://hdl.handle.net/10722/225692
ISSN

 

DC FieldValueLanguage
dc.contributor.authorHan, K-
dc.contributor.authorWong, KKY-
dc.contributor.authorSchnieders, D-
dc.contributor.authorLiu, M-
dc.date.accessioned2016-05-20T08:10:08Z-
dc.date.available2016-05-20T08:10:08Z-
dc.date.issued2015-
dc.identifier.citationThe 2015 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA., 7-12 June 2015. In Conference Proceedings, 2015-
dc.identifier.issn1063-6919-
dc.identifier.urihttp://hdl.handle.net/10722/225692-
dc.description.abstractThis paper addresses the problem of mirror surface reconstruction, and a solution based on observing the reflections of a moving reference plane on the mirror surface is proposed. Unlike previous approaches which require tedious work to calibrate the camera, our method can recover both the camera intrinsics and extrinsics together with the mirror surface from reflections of the reference plane under at least three unknown distinct poses. Our previous work has demonstrated that 3D poses of the reference plane can be registered in a common coordinate system using reflection correspondences established across images. This leads to a bunch of registered 3D lines formed from the reflection correspondences. Given these lines, we first derive an analytical solution to recover the camera projection matrix through estimating the line projection matrix. We then optimize the camera projection matrix by minimizing reprojection errors computed based on a cross-ratio formulation. The mirror surface is finally reconstructed based on the optimized cross-ratio constraint. Experimental results on both synthetic and real data are presented, which demonstrate the feasibility and accuracy of our method.-
dc.languageeng-
dc.publisherIEEE Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/servlet/opac?punumber=1000147-
dc.relation.ispartofIEEE Conference on Computer Vision and Pattern Recognition Proceedings-
dc.rightsIEEE Conference on Computer Vision and Pattern Recognition Proceedings. Copyright © IEEE Computer Society.-
dc.rights©2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleMirror surface reconstruction under an uncalibrated camera-
dc.typeConference_Paper-
dc.identifier.emailWong, KKY: kykwong@cs.hku.hk-
dc.identifier.emailSchnieders, D: sdirk@cs.hku.hk-
dc.identifier.authorityWong, KKY=rp01393-
dc.identifier.authoritySchnieders, D=rp01834-
dc.description.naturepostprint-
dc.identifier.hkuros258053-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 160601-

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