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
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;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28176
