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Conference Paper: Line correspondences between two images using local affine moment invariant

TitleLine correspondences between two images using local affine moment invariant
Authors
KeywordsAffine transformation
Line matching
Local affine moment invariant (AMI)
Issue Date2005
Citation
13Th International Conference In Central Europe On Computer Graphics, Visualization And Computer Vision 2005, Wscg'2005 - In Co-Operation With Eurographics, Full Papers, 2005, p. 129-132 How to Cite?
AbstractThis paper proposes an algorithm for matching line segments between two images which are related by affine transformations using local affine moment invariant (AMI). Instead of using traditional methods for objection recognition in which each object is globally represented by a vector of affine moment invariants, here each pair of line segments extracted from each image is locally represented by an affine moment invariant. This algorithm is suitable for line correspondences with multi-planes and occlusion. Matches are determined through comparing invariant values and voting. Experimental results are given for both synthetic and real images. The noise model of affine moment invariant is also presented. Copyright UNION Agency - Science Press.
Persistent Identifierhttp://hdl.handle.net/10722/99820
References

 

DC FieldValueLanguage
dc.contributor.authorChan, CHen_HK
dc.contributor.authorHung, YSen_HK
dc.contributor.authorLeung, CHen_HK
dc.date.accessioned2010-09-25T18:45:28Z-
dc.date.available2010-09-25T18:45:28Z-
dc.date.issued2005en_HK
dc.identifier.citation13Th International Conference In Central Europe On Computer Graphics, Visualization And Computer Vision 2005, Wscg'2005 - In Co-Operation With Eurographics, Full Papers, 2005, p. 129-132en_HK
dc.identifier.urihttp://hdl.handle.net/10722/99820-
dc.description.abstractThis paper proposes an algorithm for matching line segments between two images which are related by affine transformations using local affine moment invariant (AMI). Instead of using traditional methods for objection recognition in which each object is globally represented by a vector of affine moment invariants, here each pair of line segments extracted from each image is locally represented by an affine moment invariant. This algorithm is suitable for line correspondences with multi-planes and occlusion. Matches are determined through comparing invariant values and voting. Experimental results are given for both synthetic and real images. The noise model of affine moment invariant is also presented. Copyright UNION Agency - Science Press.en_HK
dc.languageengen_HK
dc.relation.ispartof13th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005, WSCG'2005 - In Co-operation with EUROGRAPHICS, Full Papersen_HK
dc.subjectAffine transformationen_HK
dc.subjectLine matchingen_HK
dc.subjectLocal affine moment invariant (AMI)en_HK
dc.titleLine correspondences between two images using local affine moment invarianten_HK
dc.typeConference_Paperen_HK
dc.identifier.emailHung, YS:yshung@eee.hku.hken_HK
dc.identifier.emailLeung, CH:chleung@eee.hku.hken_HK
dc.identifier.authorityHung, YS=rp00220en_HK
dc.identifier.authorityLeung, CH=rp00146en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-33645685687en_HK
dc.identifier.hkuros101323en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33645685687&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage129en_HK
dc.identifier.epage132en_HK
dc.identifier.scopusauthoridChan, CH=7404813577en_HK
dc.identifier.scopusauthoridHung, YS=8091656200en_HK
dc.identifier.scopusauthoridLeung, CH=7402612415en_HK

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