DocumentCode
1705439
Title
Elastic matching versus rigid matching by use of dynamic programming
Author
Maitre, H. ; Wu, Ying Fa
Author_Institution
Ecole Nat. Superieure des Telecommun., Paris
fYear
1988
Firstpage
79
Abstract
An elastic matching method is proposed, based on dynamic programming, to take account of distortions in images. It makes use of the fact that dynamic programming provides not only a global transformation, but also one-to-one correspondences between primitives, and therefore carries much more information about geometrical deformation. A deformation model that provides a much more accurate matching result is then estimated by using a minimum-mean-square criterion
Keywords
dynamic programming; pattern recognition; picture processing; dynamic programming; elastic matching; geometrical deformation; global transformation; image distortions; image matching; minimum-mean-square criterion; object matching; one-to-one correspondences; pattern recognition; picture processing; primitives; rigid matching; Additive noise; Costs; Deformable models; Dynamic programming; Image matching; Joining processes; Refrigeration; Satellites; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1988., 9th International Conference on
Conference_Location
Rome
Print_ISBN
0-8186-0878-1
Type
conf
DOI
10.1109/ICPR.1988.28176
Filename
28176
Link To Document