Contour Matching Using Local Affine Transformations

dc.creator	Bachelder, Ivan A.
dc.date	2004-10-04T14:25:18Z
dc.date	2004-10-04T14:25:18Z
dc.date	1992-04-01
dc.date.accessioned	2013-10-09T02:42:10Z
dc.date.available	2013-10-09T02:42:10Z
dc.date.issued	2013-10-09
dc.identifier	AIM-1326
dc.identifier	http://hdl.handle.net/1721.1/5979
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	Partial constraints are often available in visual processing tasks requiring the matching of contours in two images. We propose a non- iterative scheme to determine contour matches using locally affine transformations. The method assumes that contours are approximated by the orthographic projection of planar patches within oriented neighborhoods of varying size. For degenerate cases, a minimal matching solution is chosen closest to the minimal pure translation. Performance on noisy synthetic and natural contour imagery is reported.
dc.format	34 p.
dc.format	2803718 bytes
dc.format	2192545 bytes
dc.format	application/postscript
dc.format	application/pdf
dc.language	en_US
dc.relation	AIM-1326
dc.subject	matching
dc.subject	affine transformation
dc.subject	optical flow
dc.subject	aperturesproblem
dc.subject	correspondence
dc.title	Contour Matching Using Local Affine Transformations

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