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Article: Camera displacement via constrained minimization of the algebraic error

TitleCamera displacement via constrained minimization of the algebraic error
Authors
Issue Date2009
PublisherI E E E. The Journal's web site is located at http://www.computer.org/tpami
Citation
Ieee Transactions On Pattern Analysis And Machine Intelligence, 2009, v. 31 n. 2, p. 370-375 How to Cite?
AbstractThis paper proposes a new approach to estimate the camera displacement of stereo vision systems via minimization of the algebraic error over the essential matrices manifold. The proposed approach is based on the use of homogeneous forms and linear matrix inequality (LMI) optimizations, and has the advantages of not presenting local minima and not introducing approximations of nonlinear terms. Numerical investigations carried out with both synthetic and real data show that the proposed approach provides significantly better results than SVD methods as well as minimizations of the algebraic error over the essential matrices manifold via both gradient descent and simplex search algorithms. © 2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/58805
ISSN
2015 Impact Factor: 6.077
2015 SCImago Journal Rankings: 7.653
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChesi, Gen_HK
dc.date.accessioned2010-05-31T03:37:13Z-
dc.date.available2010-05-31T03:37:13Z-
dc.date.issued2009en_HK
dc.identifier.citationIeee Transactions On Pattern Analysis And Machine Intelligence, 2009, v. 31 n. 2, p. 370-375en_HK
dc.identifier.issn0162-8828en_HK
dc.identifier.urihttp://hdl.handle.net/10722/58805-
dc.description.abstractThis paper proposes a new approach to estimate the camera displacement of stereo vision systems via minimization of the algebraic error over the essential matrices manifold. The proposed approach is based on the use of homogeneous forms and linear matrix inequality (LMI) optimizations, and has the advantages of not presenting local minima and not introducing approximations of nonlinear terms. Numerical investigations carried out with both synthetic and real data show that the proposed approach provides significantly better results than SVD methods as well as minimizations of the algebraic error over the essential matrices manifold via both gradient descent and simplex search algorithms. © 2009 IEEE.en_HK
dc.languageengen_HK
dc.publisherI E E E. The Journal's web site is located at http://www.computer.org/tpamien_HK
dc.relation.ispartofIEEE Transactions on Pattern Analysis and Machine Intelligenceen_HK
dc.rights©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.subject.meshAlgorithmsen_HK
dc.subject.meshArtifactsen_HK
dc.subject.meshArtificial Intelligenceen_HK
dc.subject.meshImage Enhancement - methodsen_HK
dc.subject.meshImage Interpretation, Computer-Assisted - methodsen_HK
dc.subject.meshImaging, Three-Dimensional - methodsen_HK
dc.subject.meshPattern Recognition, Automated - methodsen_HK
dc.subject.meshPhotogrammetry - instrumentation - methodsen_HK
dc.subject.meshReproducibility of Resultsen_HK
dc.subject.meshSensitivity and Specificityen_HK
dc.titleCamera displacement via constrained minimization of the algebraic erroren_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0162-8828&volume=31&spage=370&epage=375&date=2009&atitle=Camera+displacement+via+constrained+minimization+of+the+algebraic+erroren_HK
dc.identifier.emailChesi, G:chesi@eee.hku.hken_HK
dc.identifier.authorityChesi, G=rp00100en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TPAMI.2008.198en_HK
dc.identifier.pmid19110501-
dc.identifier.scopuseid_2-s2.0-62249139588en_HK
dc.identifier.hkuros156191en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-62249139588&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume31en_HK
dc.identifier.issue2en_HK
dc.identifier.spage370en_HK
dc.identifier.epage375en_HK
dc.identifier.isiWOS:000261846800014-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridChesi, G=7006328614en_HK

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