Genetic algorithm for object recognition

Yue Lou; Wenbing Tao; Jinwen Tian

doi:10.1117/12.539869

25 September 2003 Genetic algorithm for object recognition

Yue Lou, Wenbing Tao, Jinwen Tian

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.539869
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

Abstract

In this paper an object recognition method based on genetic algorithm was presented. One of the most difficult problems in object recognition is to correctly decide whether two dissimilar images are originated from different items, or belong to the same object but viewed from different camera positions. Invariant-object recognition is to identiy an object independently of its position (translated or rotated) and size (larger or smaller). It was found that images of objects observed from two different viewpoints can be approximately related by affine transformation if the camera is placed sufficiently far away. This paper proposes an affine and projective invariant ship object recognition approach and employs genetic algorithm (GA) to find the appropriate affine transformation parameters to implement the matching process between the reference object and the scene object. Experiment results show good performances of the proposed method.

Citation Download Citation

Yue Lou, Wenbing Tao, and Jinwen Tian "Genetic algorithm for object recognition", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.539869

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