Contour Matching Using Local Affine Transformations

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/5979

Full metadata record

DC Field	Value	Language
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	-
Appears in Collections:	MIT Items

Files in This Item:

There are no files associated with this item.

DSpace JSPUI