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Article: A subspace approach for matching 2D shapes under affine distortions

TitleA subspace approach for matching 2D shapes under affine distortions
Authors
Keywords2D shape
Affine transformation
Shape registration
Subspace
Issue Date2011
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/pr
Citation
Pattern Recognition, 2011, v. 44 n. 2, p. 210-221 How to Cite?
AbstractThis paper presents a subspace approach to matching a pair of 2D shapes, and estimating the affine transformation that aligns the two 2D shapes. In the proposed method, by considering each shape as a 2D signal, one shape is projected onto the subspace spanned by the other, and the affine transformation is estimated by minimizing the projection error in the subspace. The proposed method is fast, easy to implement, and with a clear physical interpretation. Furthermore, it is robust to noise due to the merit of the subspace method. The proposed approach has been tested for registration accuracy, computation time, and robustness to noise. Its performance on synthetic and real images is compared with the state-of-the-art reference algorithms. The experimental results show that our approach compares favorably to the reference methods, in terms of registration accuracy, computation speed, and robustness. © 2010 Elsevier Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/135625
ISSN
2015 Impact Factor: 3.399
2015 SCImago Journal Rankings: 2.051
ISI Accession Number ID
Funding AgencyGrant Number
Research Grants Council of the Hong Kong Special Administrative Region, ChinaHKU 712808E
CRCG of the University of Hong Kong
Funding Information:

The work described in this paper was supported by a Grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. HKU 712808E) and CRCG of the University of Hong Kong.

References
Grants

 

DC FieldValueLanguage
dc.contributor.authorMai, Fen_HK
dc.contributor.authorChang, CQen_HK
dc.contributor.authorHung, YSen_HK
dc.date.accessioned2011-07-27T01:37:46Z-
dc.date.available2011-07-27T01:37:46Z-
dc.date.issued2011en_HK
dc.identifier.citationPattern Recognition, 2011, v. 44 n. 2, p. 210-221en_HK
dc.identifier.issn0031-3203en_HK
dc.identifier.urihttp://hdl.handle.net/10722/135625-
dc.description.abstractThis paper presents a subspace approach to matching a pair of 2D shapes, and estimating the affine transformation that aligns the two 2D shapes. In the proposed method, by considering each shape as a 2D signal, one shape is projected onto the subspace spanned by the other, and the affine transformation is estimated by minimizing the projection error in the subspace. The proposed method is fast, easy to implement, and with a clear physical interpretation. Furthermore, it is robust to noise due to the merit of the subspace method. The proposed approach has been tested for registration accuracy, computation time, and robustness to noise. Its performance on synthetic and real images is compared with the state-of-the-art reference algorithms. The experimental results show that our approach compares favorably to the reference methods, in terms of registration accuracy, computation speed, and robustness. © 2010 Elsevier Ltd.en_HK
dc.languageengen_US
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/pren_HK
dc.relation.ispartofPattern Recognitionen_HK
dc.subject2D shapeen_HK
dc.subjectAffine transformationen_HK
dc.subjectShape registrationen_HK
dc.subjectSubspaceen_HK
dc.titleA subspace approach for matching 2D shapes under affine distortionsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0031-3203&volume=44&issue=2&spage=210&epage=221&date=2011&atitle=A+subspace+approach+for+matching+2D+shapes+under+affine+distortions-
dc.identifier.emailChang, CQ: cqchang@eee.hku.hken_HK
dc.identifier.emailHung, YS: yshung@hkucc.hku.hken_HK
dc.identifier.authorityChang, CQ=rp00095en_HK
dc.identifier.authorityHung, YS=rp00220en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.patcog.2010.08.032en_HK
dc.identifier.scopuseid_2-s2.0-77957980033en_HK
dc.identifier.hkuros187895en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77957980033&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume44en_HK
dc.identifier.issue2en_HK
dc.identifier.spage210en_HK
dc.identifier.epage221en_HK
dc.identifier.isiWOS:000284446200004-
dc.publisher.placeNetherlandsen_HK
dc.relation.projectAn Integrated Approach to 3D Shape Recovery from Multiple Views-
dc.identifier.scopusauthoridMai, F=12804393400en_HK
dc.identifier.scopusauthoridChang, CQ=7407033052en_HK
dc.identifier.scopusauthoridHung, YS=8091656200en_HK
dc.identifier.citeulike7836136-

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