Title :
Fingerprint theorems for curvature and torsion zero-crossings
Author :
Mokhtarian, Farzin
Author_Institution :
Dept. of Comput. Sci., British Columbia Univ., Vancouver, BC, Canada
Abstract :
It has been shown by A.L. Yuille and T. Poggio (1983) that the scale-space image of a signal determines that signal uniquely up to constant scaling. Here, generalization of the proof given by Yuille and Poggio is presented. It is shown that the curvature scale-space image of a planar curvature determines the curvature uniquely, up to constant scaling and a rigid motion. The results show that a 1-D signal can be reconstructed using only one point from its scale-space image. This is an improvement of the result obtained by Yuille and Poggio
Keywords :
pattern recognition; picture processing; Poggio; Yuille; constant scaling; curvature; fingerprint theorems; pattern recognition; picture processing; rigid motion; scale-space image; zero-crossings; Computer science; Filters; Fingerprint recognition; Image reconstruction; Shape;
Conference_Titel :
Computer Vision and Pattern Recognition, 1989. Proceedings CVPR '89., IEEE Computer Society Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-8186-1952-x
DOI :
10.1109/CVPR.1989.37860