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Conference Paper: Motion recovery for uncalibrated turntable sequences using silhouettes and a single point
Title  Motion recovery for uncalibrated turntable sequences using silhouettes and a single point 

Authors  
Keywords  Restoration Rotation Visual communication Best estimates Camera intrinsic matrixes 
Issue Date  2008 
Publisher  Springer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/ 
Citation  The 10th International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2008), JuanlesPins, France, 2024 October 2008. In Lecture Notes in Computer Science, 2008, v. 5259, p. 796807 How to Cite? 
Abstract  This paper addresses the problem of selfcalibration and motion recovery for turntable sequences. Previous works exploited silhouette correspondences induced by epipolar tangencies to estimate the image invariants under turntable motion and recover the epipolar geometry. These approaches, however, require the camera intrinsics in order to obtain an Euclidean motion, and a dense sequence is required to provide a precise initialization of the image invariants. This paper proposes a novel approach to estimate the camera intrinsics, the image invariants and the rotation angles from a sparse turntable sequence. The silhouettes and a single point correspondence are extracted from the image sequence. The point traces out a conic in the sequence, from which the fixed entities (i.e., the image of the rotation axis, the horizon, the vanishing point of the coordinates, the circular points and a scalar) can be recovered given a simple initialization of the camera intrinsic matrix. The rotation angles are then recovered by estimating the epipoles that minimize the transfer errors of the outer epipolar tangents to the silhouettes for each pair of images. The camera intrinsics can be further refined by the above optimization. Based on a given range of the initial focal length, a robust method is proposed to give the best estimate of the camera intrinsics, the image invariants, the full camera positions and orientations, and hence a Euclidean reconstruction. Experimental results demonstrate the simplicity of this approach and the accuracy in the estimated motion and reconstruction. © 2008 Springer Berlin Heidelberg. 
Description  LNCS v. 5259 is the conference proceedings of ACIVS 2008 
Persistent Identifier  http://hdl.handle.net/10722/137151 
ISSN  2005 Impact Factor: 0.302 2015 SCImago Journal Rankings: 0.252 
References 
DC Field  Value  Language 

dc.contributor.author  Zhang, H  en_HK 
dc.contributor.author  Shao, L  en_HK 
dc.contributor.author  Wong, KYK  en_HK 
dc.date.accessioned  20110824T07:11:12Z   
dc.date.available  20110824T07:11:12Z   
dc.date.issued  2008  en_HK 
dc.identifier.citation  The 10th International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2008), JuanlesPins, France, 2024 October 2008. In Lecture Notes in Computer Science, 2008, v. 5259, p. 796807  en_HK 
dc.identifier.issn  03029743  en_HK 
dc.identifier.uri  http://hdl.handle.net/10722/137151   
dc.description  LNCS v. 5259 is the conference proceedings of ACIVS 2008   
dc.description.abstract  This paper addresses the problem of selfcalibration and motion recovery for turntable sequences. Previous works exploited silhouette correspondences induced by epipolar tangencies to estimate the image invariants under turntable motion and recover the epipolar geometry. These approaches, however, require the camera intrinsics in order to obtain an Euclidean motion, and a dense sequence is required to provide a precise initialization of the image invariants. This paper proposes a novel approach to estimate the camera intrinsics, the image invariants and the rotation angles from a sparse turntable sequence. The silhouettes and a single point correspondence are extracted from the image sequence. The point traces out a conic in the sequence, from which the fixed entities (i.e., the image of the rotation axis, the horizon, the vanishing point of the coordinates, the circular points and a scalar) can be recovered given a simple initialization of the camera intrinsic matrix. The rotation angles are then recovered by estimating the epipoles that minimize the transfer errors of the outer epipolar tangents to the silhouettes for each pair of images. The camera intrinsics can be further refined by the above optimization. Based on a given range of the initial focal length, a robust method is proposed to give the best estimate of the camera intrinsics, the image invariants, the full camera positions and orientations, and hence a Euclidean reconstruction. Experimental results demonstrate the simplicity of this approach and the accuracy in the estimated motion and reconstruction. © 2008 Springer Berlin Heidelberg.  en_HK 
dc.language  eng   
dc.publisher  Springer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/  en_HK 
dc.relation.ispartof  Lecture Notes in Computer Science  en_HK 
dc.rights  The original publication is available at www.springerlink.com   
dc.subject  Restoration   
dc.subject  Rotation   
dc.subject  Visual communication   
dc.subject  Best estimates   
dc.subject  Camera intrinsic matrixes   
dc.title  Motion recovery for uncalibrated turntable sequences using silhouettes and a single point  en_HK 
dc.type  Conference_Paper  en_HK 
dc.identifier.openurl  http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=03029743&volume=5259&spage=796&epage=807&date=2008&atitle=Motion+recovery+for+uncalibrated+turntable+sequences+using+silhouettes+and+a+single+point   
dc.identifier.email  Wong, KYK:kykwong@cs.hku.hk  en_HK 
dc.identifier.authority  Wong, KYK=rp01393  en_HK 
dc.description.nature  link_to_subscribed_fulltext   
dc.identifier.doi  10.1007/978354088458372  en_HK 
dc.identifier.scopus  eid_2s2.057049164841  en_HK 
dc.identifier.hkuros  148742   
dc.relation.references  http://www.scopus.com/mlt/select.url?eid=2s2.057049164841&selection=ref&src=s&origin=recordpage  en_HK 
dc.identifier.volume  5259 LNCS  en_HK 
dc.identifier.spage  796  en_HK 
dc.identifier.epage  807  en_HK 
dc.publisher.place  Germany  en_HK 
dc.description.other  The 10th International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2008), JuanlesPins, France, 2024 October 2008. In Lecture Notes in Computer Science, 2008, v. 5259, p. 796807   
dc.identifier.scopusauthorid  Zhang, H=7409191962  en_HK 
dc.identifier.scopusauthorid  Shao, L=8216509700  en_HK 
dc.identifier.scopusauthorid  Wong, KYK=24402187900  en_HK 