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dc.contributor.authorJin, Taisongzh_CN
dc.contributor.authorLi, Cuihuazh_CN
dc.contributor.author金泰松zh_CN
dc.contributor.author李翠华zh_CN
dc.date.accessioned2015-07-22T02:39:20Z
dc.date.available2015-07-22T02:39:20Z
dc.date.issued2007zh_CN
dc.identifier.citationMIPPR 2007: PATTERN RECOGNITION AND COMPUTER VISION, 2007,6788:U7881-U7881zh_CN
dc.identifier.otherWOS:000252363600065zh_CN
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/86497
dc.descriptionConference Name:Conference on Pattern Recognition and Computer Vision. Conference Address: Wuhan, PEOPLES R CHINA. Time:NOV 15-17, 2007.zh_CN
dc.description.abstractThis paper presents a line feature matching algorithm. Firstly, it extracts the set of line features in the image, and represents an object using attributed relational graph (ARG). By defining relation vectors between the adjacent features, the graph can describe the structural information of an object. Secondly, the one-to-one correspondences between model features and image features is established by two processes- coarse match and refined match through the analysis of matching ordering and matching number of relation vectors. Finally, the object examples in the image are extracted. Test showed that the proposed algorithm had superior performance to the present line feature matching algorithms, which is robust to shape deformation, or input noise, and decreased the computational cost.zh_CN
dc.language.isoen_USzh_CN
dc.publisherP SOC PHOTO-OPT INSzh_CN
dc.source.urihttp://dx.doi.org/10.1117/12.750276zh_CN
dc.subjectRECOGNITIONzh_CN
dc.subjectRELAXATIONzh_CN
dc.titleLine feature matching algorithm - art no 67881Uzh_CN
dc.typeConferencezh_CN


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