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Conference Paper: A decomposition method for non-rigid structure from motion with orthographic cameras

TitleA decomposition method for non-rigid structure from motion with orthographic cameras
Authors
KeywordsNon-rigid structure
Orthographic camera
Structure from motion
Automatic recovery
Issue Date2013
PublisherCSREA Press.
Citation
The 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV'13), Las Vegas, NV., 22-25 July 2013. In IPCV'13 - WorldComp Proceedings, 2013, v. 1, p. 633-642 How to Cite?
AbstractIn this paper, we propose a new approach to non-rigid structure from motion based on the trajectory basis method by decomposing the problem into two sub-problems. The existing trajectory basis method requires the number of trajectory basis vectors to be specified beforehand, and then camera motion and the non-rigid structure are recovered simultaneously. However, we observe that the camera motion can be derived from a mean shape without recovering the non-rigid structure. Hence, the camera motion can be recovered as a sub-problem to optimize an error indicator without a full recovery of the non-rigid structure or the need to pre-define the number of basis required for describing the non-rigid structure. With the camera motion recovered, the non-rigid structure can then be solved in a second sub-problem together with the determination of the basis number by minimizing another error indicator. The solutions to these two sub-problems can be combined to solve the non-rigid structure from motion problem in an automatic manner, without any need to pre-define the number of basis vectors. Experiments show that the proposed method improves the reconstruction quality of both the non-rigid structure and camera motion.
DescriptionSession: Video Processing, Analysis and Applications + Animation
Persistent Identifierhttp://hdl.handle.net/10722/186760
ISBN

 

DC FieldValueLanguage
dc.contributor.authorZhang, Xen_US
dc.contributor.authorTang, AWKen_US
dc.contributor.authorHung, YSen_US
dc.date.accessioned2013-08-20T12:19:25Z-
dc.date.available2013-08-20T12:19:25Z-
dc.date.issued2013en_US
dc.identifier.citationThe 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV'13), Las Vegas, NV., 22-25 July 2013. In IPCV'13 - WorldComp Proceedings, 2013, v. 1, p. 633-642en_US
dc.identifier.isbn1-60132-252-6-
dc.identifier.urihttp://hdl.handle.net/10722/186760-
dc.descriptionSession: Video Processing, Analysis and Applications + Animation-
dc.description.abstractIn this paper, we propose a new approach to non-rigid structure from motion based on the trajectory basis method by decomposing the problem into two sub-problems. The existing trajectory basis method requires the number of trajectory basis vectors to be specified beforehand, and then camera motion and the non-rigid structure are recovered simultaneously. However, we observe that the camera motion can be derived from a mean shape without recovering the non-rigid structure. Hence, the camera motion can be recovered as a sub-problem to optimize an error indicator without a full recovery of the non-rigid structure or the need to pre-define the number of basis required for describing the non-rigid structure. With the camera motion recovered, the non-rigid structure can then be solved in a second sub-problem together with the determination of the basis number by minimizing another error indicator. The solutions to these two sub-problems can be combined to solve the non-rigid structure from motion problem in an automatic manner, without any need to pre-define the number of basis vectors. Experiments show that the proposed method improves the reconstruction quality of both the non-rigid structure and camera motion.-
dc.languageengen_US
dc.publisherCSREA Press.-
dc.relation.ispartofIPCV'13 - WorldComp Proceedings 2013en_US
dc.subjectNon-rigid structure-
dc.subjectOrthographic camera-
dc.subjectStructure from motion-
dc.subjectAutomatic recovery-
dc.titleA decomposition method for non-rigid structure from motion with orthographic camerasen_US
dc.typeConference_Paperen_US
dc.identifier.emailTang, AWK: wktang@eee.hku.hken_US
dc.identifier.emailHung, YS: yshung@eee.hku.hken_US
dc.identifier.authorityTang, AWK=rp00175en_US
dc.identifier.authorityHung, YS=rp00220en_US
dc.description.naturepostprint-
dc.identifier.hkuros220198en_US
dc.identifier.volume1en_US
dc.identifier.spage633en_US
dc.identifier.epage642en_US
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 150129-

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