Accession Number : ADA311344

Title :   Geometric Invariants in Object Recognition.

Descriptive Note : Final rept. 1 Jul 92-31 Dec 95,

Corporate Author : MARYLAND UNIV COLLEGE PARK

Personal Author(s) : Weiss, Isaac

PDF Url : ADA311344

Report Date : 31 DEC 1995

Pagination or Media Count : 8

Abstract : The project has involved the use of invariants in computer vision and has shown that invariants can greatly improve the efficiency of object recognition. As part of the project, two kinds of invariants have been studied. (1) Geometric invariants, which assume that the geometry of the object is given. The objective here is to use descriptors of the object that are independent of the geometric transformations that complicate object recognition, such as change of the viewpoint from which the object is seen, or small deformations. (2) Physical invariants, which take into account the physical process by which the image is obtained such as irradiation by visible light, infra-red, radar, sonar etc. We borrow methods from physics to apply invariants similar to energy and momentum of the physical process. In these processes there are usually more unknowns than equations. The invariants help in putting additional constraints on the underdetermined set of equations.

Descriptors :   *IMAGE PROCESSING, *PATTERN RECOGNITION, DATA BASES, MATHEMATICAL MODELS, DEFORMATION, TARGET RECOGNITION, ACCURACY, EFFICIENCY, SYSTEMS ANALYSIS, COMPUTER VISION, INVARIANCE.

Subject Categories : Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE