Title :
Semi-local invariants
Author :
Rivlin, Ehud ; Weiss, Issac
Author_Institution :
Center for Autom. Res., Maryland Univ., College Park, MD, USA
Abstract :
A method is presented for finding semi-local projective and affine invariants. The method consists of defining a canonical coordinate system using intrinsic properties of the shape, independently of the given coordinate system. Since this canonical system is independent of the original one, it is invariant and all quantities defined in it are invariant. The method is applied to find local invariants of a general curve with known correspondences of one or two feature points or lines
Keywords :
computer vision; image recognition; invariance; object recognition; canonical coordinate system; general curve; semi-local affine invariants; semi-local projective invariants; Airplanes; Automation; Curve fitting; Educational institutions; Joining IEEE; Noise robustness; Noise shaping; Object recognition; Shape;
Conference_Titel :
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-8186-3880-X
DOI :
10.1109/CVPR.1993.341022
