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Article: 3D reconstruction using silhouettes from unordered viewpoints

Title3D reconstruction using silhouettes from unordered viewpoints
Authors
Keywords3D reconstruction
Delaunay triangulation
Dual space
Issue Date2010
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/imavis
Citation
Image And Vision Computing, 2010, v. 28 n. 4, p. 579-589 How to Cite?
AbstractIn this paper, we present a novel approach for reconstructing an object surface from its silhouettes. The proposed approach directly estimates the differential structure of the surface, and results in a higher accuracy than existing volumetric approaches for object reconstruction. Compared with other existing differential approaches, our approach produces relatively complete 3D models similar to volumetric approaches, with the topology conforming to what is observed from the silhouettes. In addition, the method neither assumes nor depends on the spatial order of viewpoints. Experimental results on both synthetic and real world data are presented, and comparison is made with other existing approaches to demonstrate the superiority of the proposed approach. © 2009 Elsevier B.V. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/129994
ISSN
2015 Impact Factor: 1.766
2015 SCImago Journal Rankings: 1.700
ISI Accession Number ID
Funding AgencyGrant Number
Research Grants Council of the Hong Kong Special Administration Region, ChinaHKU 7180/06E
Funding Information:

This project is supported by a grant from the Research Grants Council of the Hong Kong Special Administration Region, China, under Project HKU 7180/06E.

References
Grants

 

DC FieldValueLanguage
dc.contributor.authorLiang, Cen_HK
dc.contributor.authorWong, KYKen_HK
dc.date.accessioned2010-12-23T08:45:12Z-
dc.date.available2010-12-23T08:45:12Z-
dc.date.issued2010en_HK
dc.identifier.citationImage And Vision Computing, 2010, v. 28 n. 4, p. 579-589en_HK
dc.identifier.issn0262-8856en_HK
dc.identifier.urihttp://hdl.handle.net/10722/129994-
dc.description.abstractIn this paper, we present a novel approach for reconstructing an object surface from its silhouettes. The proposed approach directly estimates the differential structure of the surface, and results in a higher accuracy than existing volumetric approaches for object reconstruction. Compared with other existing differential approaches, our approach produces relatively complete 3D models similar to volumetric approaches, with the topology conforming to what is observed from the silhouettes. In addition, the method neither assumes nor depends on the spatial order of viewpoints. Experimental results on both synthetic and real world data are presented, and comparison is made with other existing approaches to demonstrate the superiority of the proposed approach. © 2009 Elsevier B.V. All rights reserved.en_HK
dc.languageengen_US
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/imavisen_HK
dc.relation.ispartofImage and Vision Computingen_HK
dc.subject3D reconstructionen_HK
dc.subjectDelaunay triangulationen_HK
dc.subjectDual spaceen_HK
dc.title3D reconstruction using silhouettes from unordered viewpointsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0262-8856&volume=28&issue=4&spage=579&epage=589&date=2010&atitle=3D+Reconstruction+Using+Silhouettes+from+Unordered+Viewpoints-
dc.identifier.emailWong, KYK:kykwong@cs.hku.hken_HK
dc.identifier.authorityWong, KYK=rp01393en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.imavis.2009.09.012en_HK
dc.identifier.scopuseid_2-s2.0-74749106717en_HK
dc.identifier.hkuros176665en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-74749106717&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume28en_HK
dc.identifier.issue4en_HK
dc.identifier.spage579en_HK
dc.identifier.epage589en_HK
dc.identifier.isiWOS:000275132600004-
dc.publisher.placeNetherlandsen_HK
dc.relation.projectRobust recovery of differential information and object shape from silhouettes of unordered viewpoints-
dc.relation.projectRobust recovery of differential information and object shape from silhouettes of unordered viewpoints-
dc.identifier.scopusauthoridLiang, C=54786617200en_HK
dc.identifier.scopusauthoridWong, KYK=24402187900en_HK
dc.identifier.citeulike5884861-

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