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Conference Paper: Shape from shadings under perspective projection and turntable motion

TitleShape from shadings under perspective projection and turntable motion
Authors
KeywordsShape recovery
Turntable motion
Two-Frame-Theory
Issue Date2010
PublisherINSTICC Press.
Citation
The 5th International Conference on Computer Vision Theory and Applications (VISAPP 2010), Angers, France, 17-21 May 2010. In Proceedings of the International Conference on Computer Vision Theory and Applications, 2010, v. 1, p. 28-35 How to Cite?
AbstractTwo-Frame-Theory is a recently proposed method for 3D shape recovery. It estimates shape by solving a first order quasi-linear partial differential equation through the method of characteristics. One major drawback of this method is that it assumes an orthographic camera which limits its application. This paper re-examines the basic idea of the Two-Frame-Theory under the assumption of a perspective camera, and derives a first order quasi-linear partial differential equation for shape recovery under turntable motion. Dynamic programming is used here to provide the Dirichlet boundary condition. The proposed method is tested against synthetic and real data. Experimental results show that perspective projection can be used in the framework of Two-Frame-Theory, and competitive results can be achieved.
DescriptionVISAPP is part of VISIGRAPP - The International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Persistent Identifierhttp://hdl.handle.net/10722/129580
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorLiu, Men_HK
dc.contributor.authorWong, KYKen_HK
dc.date.accessioned2010-12-23T08:39:27Z-
dc.date.available2010-12-23T08:39:27Z-
dc.date.issued2010en_HK
dc.identifier.citationThe 5th International Conference on Computer Vision Theory and Applications (VISAPP 2010), Angers, France, 17-21 May 2010. In Proceedings of the International Conference on Computer Vision Theory and Applications, 2010, v. 1, p. 28-35en_HK
dc.identifier.issn978-989-674-028-3-
dc.identifier.urihttp://hdl.handle.net/10722/129580-
dc.descriptionVISAPP is part of VISIGRAPP - The International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications-
dc.description.abstractTwo-Frame-Theory is a recently proposed method for 3D shape recovery. It estimates shape by solving a first order quasi-linear partial differential equation through the method of characteristics. One major drawback of this method is that it assumes an orthographic camera which limits its application. This paper re-examines the basic idea of the Two-Frame-Theory under the assumption of a perspective camera, and derives a first order quasi-linear partial differential equation for shape recovery under turntable motion. Dynamic programming is used here to provide the Dirichlet boundary condition. The proposed method is tested against synthetic and real data. Experimental results show that perspective projection can be used in the framework of Two-Frame-Theory, and competitive results can be achieved.en_HK
dc.languageengen_US
dc.publisherINSTICC Press.-
dc.relation.ispartofVISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applicationsen_HK
dc.subjectShape recoveryen_HK
dc.subjectTurntable motionen_HK
dc.subjectTwo-Frame-Theoryen_HK
dc.titleShape from shadings under perspective projection and turntable motionen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailWong, KYK:kykwong@cs.hku.hken_HK
dc.identifier.authorityWong, KYK=rp01393en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-77956326009en_HK
dc.identifier.hkuros176663en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77956326009&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume1en_HK
dc.identifier.spage28en_HK
dc.identifier.epage35en_HK
dc.publisher.placePortugal-
dc.description.otherThe 5th International Conference on Computer Vision Theory and Applications (VISAPP 2010), Angers, France, 17-21 May 2010. In Proceedings of the International Conference on Computer Vision Theory and Applications, 2010, v. 1, p. 28-35-
dc.identifier.scopusauthoridLiu, M=42161730500en_HK
dc.identifier.scopusauthoridWong, KYK=24402187900en_HK

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