Matching Interest Points Using Projective Invariant Concentric Circles

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/7426

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DC Field	Value	Language
dc.creator	Chiu, Han-Pang	-
dc.creator	Lozano-Pérez, Tomás	-
dc.date	2004-12-13T07:36:23Z	-
dc.date	2004-12-13T07:36:23Z	-
dc.date	2005-01	-
dc.date.accessioned	2013-10-09T02:49:29Z	-
dc.date.available	2013-10-09T02:49:29Z	-
dc.date.issued	2013-10-09	-
dc.identifier	http://hdl.handle.net/1721.1/7426	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	We present a new method to perform reliable matching between different images. This method exploits a projective invariant property between concentric circles and the corresponding projected ellipses to find complete region correspondences centered on interest points. The method matches interest points allowing for a full perspective transformation and exploiting all the available luminance information in the regions. Experiments have been conducted on many different data sets to compare our approach to SIFT local descriptors. The results show the new method offers increased robustness to partial visibility, object rotation in depth, and viewpoint angle change.	-
dc.description	Singapore-MIT Alliance (SMA)	-
dc.format	928925 bytes	-
dc.format	application/pdf	-
dc.language	en	-
dc.relation	Computer Science (CS);	-
dc.subject	Image Matching	-
dc.subject	Interest Point	-
dc.subject	Local Descriptors	-
dc.title	Matching Interest Points Using Projective Invariant Concentric Circles	-
dc.type	Article	-
Appears in Collections:	MIT Items

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