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Article: On deformable models for visual pattern recognition

TitleOn deformable models for visual pattern recognition
Authors
Cheung, KWYeung, DYChin, RT
KeywordsClassification
Constraint incorporation
Criteria formulation
Deformable models
Initialization
Matching
Model representation
Optimization
Regularization
Topology adaptation
Issue Date2002
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/pr
Citation
Pattern Recognition, 2002, v. 35 n. 7, p. 1507-1526 How to Cite?
DOI: http://dx.doi.org/10.1016/S0031-3203(01)00135-2
AbstractThis paper reviews model-based methods for non-rigid shape recognition. These methods model, match and classify non-rigid shapes, which are generally problematic for conventional algorithms using rigid models. Issues including model representation, optimization criteria formulation, model matching, and classification are examined in detail with the objective to provide interested researchers a roadmap for exploring the field. This paper emphasizes on 2D deformable models. Their potential applications and future research directions, particularly on deformable pattern classification, are discussed. © 2002 Published by Elsevier Science Ltd on behalf of Pattern Recognition Society.
Persistent Identifierhttp://hdl.handle.net/10722/65530
ISSN
0031-3203
2023 Impact Factor: 7.5
2023 SCImago Journal Rankings: 2.732
ISI Accession Number ID
WOS:000175237700007
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorCheung, KWen_HK
dc.contributor.authorYeung, DYen_HK
dc.contributor.authorChin, RTen_HK
dc.date.accessioned2010-08-31T07:15:08Z-
dc.date.available2010-08-31T07:15:08Z-
dc.date.issued2002en_HK
dc.identifier.citationPattern Recognition, 2002, v. 35 n. 7, p. 1507-1526en_HK
dc.identifier.issn0031-3203en_HK
dc.identifier.urihttp://hdl.handle.net/10722/65530-
dc.description.abstractThis paper reviews model-based methods for non-rigid shape recognition. These methods model, match and classify non-rigid shapes, which are generally problematic for conventional algorithms using rigid models. Issues including model representation, optimization criteria formulation, model matching, and classification are examined in detail with the objective to provide interested researchers a roadmap for exploring the field. This paper emphasizes on 2D deformable models. Their potential applications and future research directions, particularly on deformable pattern classification, are discussed. © 2002 Published by Elsevier Science Ltd on behalf of Pattern Recognition Society.en_HK
dc.languageengen_HK
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/pren_HK
dc.relation.ispartofPattern Recognitionen_HK
dc.subjectClassificationen_HK
dc.subjectConstraint incorporationen_HK
dc.subjectCriteria formulationen_HK
dc.subjectDeformable modelsen_HK
dc.subjectInitializationen_HK
dc.subjectMatchingen_HK
dc.subjectModel representationen_HK
dc.subjectOptimizationen_HK
dc.subjectRegularizationen_HK
dc.subjectTopology adaptationen_HK
dc.titleOn deformable models for visual pattern recognitionen_HK
dc.typeArticleen_HK
dc.identifier.emailChin, RT: rchin@hku.hken_HK
dc.identifier.authorityChin, RT=rp01300en_HK
dc.description.naturelink_to_subscribed_fulltexten_HK
dc.identifier.doi10.1016/S0031-3203(01)00135-2en_HK
dc.identifier.scopuseid_2-s2.0-0036643352en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0036643352&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume35en_HK
dc.identifier.issue7en_HK
dc.identifier.spage1507en_HK
dc.identifier.epage1526en_HK
dc.identifier.isiWOS:000175237700007-
dc.publisher.placeNetherlandsen_HK
dc.identifier.scopusauthoridCheung, KW=55413672000en_HK
dc.identifier.scopusauthoridYeung, DY=7103391392en_HK
dc.identifier.scopusauthoridChin, RT=7102445426en_HK
dc.identifier.issnl0031-3203-

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