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Conference Paper: Hierarchical two view line segment matching using wavelet transform

TitleHierarchical two view line segment matching using wavelet transform
Authors
KeywordsLine segment matching
Stereo vision
Wavelets
Issue Date2006
PublisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xml
Citation
Proceedings Of Spie - The International Society For Optical Engineering, 2006, v. 6066 How to Cite?
AbstractThis paper presents a novel algorithm for line segment matching over two views. Two image pyramids are built by applying wavelet decomposition to the two images. After defining supporters for a line segment to be the edge points lying close to it, line segments are matched from the coarsest to the finest level. At each level the supporters are matched using the cross-correlation techniques. This method can match line segments over two uncalibrated views, in which the line segments need not be the images of the same section of a 3D line segment. The hierarchical strategy helps to reduce the computational complexity. Wavelet is adopted to build the hierarchical frame for its built-in multi-scale structure and fast decomposition algorithm. Furthermore, it overcomes the flattening-out problem in the traditional multi-scale Gaussian pyramid technique. Experiments on real image pairs are given to demonstrate the effectiveness and the robustness of our algorithm. © 2006 SPIE-IS&T.
Persistent Identifierhttp://hdl.handle.net/10722/98965
ISSN
2023 SCImago Journal Rankings: 0.152
References

 

DC FieldValueLanguage
dc.contributor.authorMai, Fen_HK
dc.contributor.authorHung, YSen_HK
dc.contributor.authorSze, WFen_HK
dc.date.accessioned2010-09-25T18:10:02Z-
dc.date.available2010-09-25T18:10:02Z-
dc.date.issued2006en_HK
dc.identifier.citationProceedings Of Spie - The International Society For Optical Engineering, 2006, v. 6066en_HK
dc.identifier.issn0277-786Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/98965-
dc.description.abstractThis paper presents a novel algorithm for line segment matching over two views. Two image pyramids are built by applying wavelet decomposition to the two images. After defining supporters for a line segment to be the edge points lying close to it, line segments are matched from the coarsest to the finest level. At each level the supporters are matched using the cross-correlation techniques. This method can match line segments over two uncalibrated views, in which the line segments need not be the images of the same section of a 3D line segment. The hierarchical strategy helps to reduce the computational complexity. Wavelet is adopted to build the hierarchical frame for its built-in multi-scale structure and fast decomposition algorithm. Furthermore, it overcomes the flattening-out problem in the traditional multi-scale Gaussian pyramid technique. Experiments on real image pairs are given to demonstrate the effectiveness and the robustness of our algorithm. © 2006 SPIE-IS&T.en_HK
dc.languageengen_HK
dc.publisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xmlen_HK
dc.relation.ispartofProceedings of SPIE - The International Society for Optical Engineeringen_HK
dc.subjectLine segment matchingen_HK
dc.subjectStereo visionen_HK
dc.subjectWaveletsen_HK
dc.titleHierarchical two view line segment matching using wavelet transformen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailHung, YS:yshung@eee.hku.hken_HK
dc.identifier.authorityHung, YS=rp00220en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1117/12.642558en_HK
dc.identifier.scopuseid_2-s2.0-33645667160en_HK
dc.identifier.hkuros117224en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33645667160&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume6066en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridMai, F=12804393400en_HK
dc.identifier.scopusauthoridHung, YS=8091656200en_HK
dc.identifier.scopusauthoridSze, WF=12804326800en_HK
dc.identifier.issnl0277-786X-

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