A genetic algorithm for projective invariant object recognition

Author

Tsang, Peter W M ; Au, Albert T S

Author_Institution

Dept. of Electron. Eng., City Univ. of Hong Hong., Hong Kong

Volume

1

fYear

1996

fDate

26-29 Nov 1996

Firstpage

58

Abstract

A genetic algorithm is developed for recognition of near planar objects under projective transformation. The approach can be generalised in any 2D geometric transformation. No approximation to perspective projection is required, so the camera used for capturing the objects is allowed to locate at arbitrary position away from the scene. A genetic algorithm is employed to search for the optimal solution in order to identify the object and to estimate its location with reference to the model. Encouraging results were obtained by testing the approach from a number of industrial handtools

Keywords

genetic algorithms; hand tools; object recognition; pattern matching; 2D geometric transformation; genetic algorithm; industrial handtools; location estimation; near planar objects; optimal solution; projective invariant object recognition; projective transformation; Cameras; Genetic algorithms; Genetic engineering; Gold; Layout; Object detection; Object recognition; Pattern matching; Shape; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications

Conference_Location

Perth, WA

Print_ISBN

0-7803-3679-8

Type

conf

DOI

10.1109/TENCON.1996.608705

Filename

608705