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Conference Paper: Single View 3D Reconstruction under an Uncalibrated Camera and an Unknown Mirror Sphere

TitleSingle View 3D Reconstruction under an Uncalibrated Camera and an Unknown Mirror Sphere
Authors
Keywords3D reconstruction
Calibration
Mirror sphere
Issue Date2016
PublisherIEEE.
Citation
The 4th International Conference on 3D Vision (3DV 2016), Stanford, CA., 25-28 October 2016. In Conference Proceedings, 2016, p. 408-416 How to Cite?
AbstractIn this paper, we develop a novel self-calibration method for single view 3D reconstruction using a mirror sphere. Unlike other mirror sphere based reconstruction methods, our method needs neither the intrinsic parameters of the camera, nor the position and radius of the sphere be known. Based on eigen decomposition of the matrix representing the conic image of the sphere and enforcing a repeated eignvalue constraint, we derive an analytical solution for recovering the focal length of the camera given its principal point. We then introduce a robust algorithm for estimating both the principal point and the focal length of the camera by minimizing the differences between focal lengths estimated from multiple images of the sphere. We also present a novel approach for estimating both the principal point and focal length of the camera in the case of just one single image of the sphere. With the estimated camera intrinsic parameters, the position(s) of the sphere can be readily retrieved from the eigen decomposition(s) and a scaled 3D reconstruction follows. Experimental results on both synthetic and real data are presented, which demonstrate the feasibility and accuracy of our approach. © 2016 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/238757
ISBN
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHan, K-
dc.contributor.authorWong, KKY-
dc.contributor.authorTan, X-
dc.date.accessioned2017-02-20T01:25:42Z-
dc.date.available2017-02-20T01:25:42Z-
dc.date.issued2016-
dc.identifier.citationThe 4th International Conference on 3D Vision (3DV 2016), Stanford, CA., 25-28 October 2016. In Conference Proceedings, 2016, p. 408-416-
dc.identifier.isbn978-150905407-7-
dc.identifier.urihttp://hdl.handle.net/10722/238757-
dc.description.abstractIn this paper, we develop a novel self-calibration method for single view 3D reconstruction using a mirror sphere. Unlike other mirror sphere based reconstruction methods, our method needs neither the intrinsic parameters of the camera, nor the position and radius of the sphere be known. Based on eigen decomposition of the matrix representing the conic image of the sphere and enforcing a repeated eignvalue constraint, we derive an analytical solution for recovering the focal length of the camera given its principal point. We then introduce a robust algorithm for estimating both the principal point and the focal length of the camera by minimizing the differences between focal lengths estimated from multiple images of the sphere. We also present a novel approach for estimating both the principal point and focal length of the camera in the case of just one single image of the sphere. With the estimated camera intrinsic parameters, the position(s) of the sphere can be readily retrieved from the eigen decomposition(s) and a scaled 3D reconstruction follows. Experimental results on both synthetic and real data are presented, which demonstrate the feasibility and accuracy of our approach. © 2016 IEEE.-
dc.languageeng-
dc.publisherIEEE.-
dc.relation.ispartofInternational Conference on 3D Vision (3DV)-
dc.rights©2016 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.subject3D reconstruction-
dc.subjectCalibration-
dc.subjectMirror sphere-
dc.titleSingle View 3D Reconstruction under an Uncalibrated Camera and an Unknown Mirror Sphere-
dc.typeConference_Paper-
dc.identifier.emailWong, KKY: kykwong@cs.hku.hk-
dc.identifier.emailTan, X: xtan@hku.hk-
dc.identifier.authorityWong, KKY=rp01393-
dc.description.naturepostprint-
dc.identifier.doi10.1109/3DV.2016.50-
dc.identifier.scopuseid_2-s2.0-85011309696-
dc.identifier.hkuros271390-
dc.identifier.spage408-
dc.identifier.epage416-
dc.identifier.isiWOS:000391542200045-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 170221-

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