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dc.contributor.authorChan, C. H.
dc.contributor.authorHung, Y. S.
dc.contributor.authorLeung, C. H.
dc.contributor.editorSkala, Václav
dc.date.accessioned2014-05-22T08:19:56Z-
dc.date.available2014-05-22T08:19:56Z-
dc.date.issued2005
dc.identifier.citationWSCG '2005: Short Papers: The 13-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005 in co-operation with EUROGRAPHICS, p. 129-132.en
dc.identifier.isbn80-903100-9-5
dc.identifier.urihttp://wscg.zcu.cz/WSCG2005/Papers_2005/Short/!WSCG2005_Short_Proceedings_Final.pdf
dc.identifier.urihttp://hdl.handle.net/11025/11226
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.en
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.relation.ispartofseriesWSCG '2005: Short Papersen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectafinní transformacecs
dc.subjectpárování liniícs
dc.subjectlokální afinní momentové invariantycs
dc.titleLine Correspondences Between Two Images Using Local Affine Moment Invarianten
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedaffine transformationen
dc.subject.translatedline matchingen
dc.subject.translatedlocal affine moment invarianten
dc.type.statusPeer-revieweden
Appears in Collections:WSCG '2005: Short Papers

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