Genetic algorithm for projective invariant object recognition

P. W. M. Tsang; Yu Zhang

doi:10.1117/12.477082

31 July 2002 Genetic algorithm for projective invariant object recognition

P. W. M. Tsang, Yu Zhang

Proceedings Volume 4875, Second International Conference on Image and Graphics; (2002) https://doi.org/10.1117/12.477082
Event: Second International Conference on Image and Graphics, 2002, Hefei, China

Abstract

In this paper, we propose a novel scheme for matching planar images with three-dimensional geometrical shapes. Given a two-dimensional unknown image and a 3D model, Simple Genetic Algorithm is applied to search for the existence of a legitimate projective transform that can spatially associate the two entities. A positive outcome reflects that the image is possibly one of the many views ofthe model. To enhance the search efficiency, an alternative representation of the projective transform has been adopted so that the search space can be reduced. The method had been successfully applied to identify unknown views amongst a moderate collection of 3D models.

Citation Download Citation

P. W. M. Tsang and Yu Zhang "Genetic algorithm for projective invariant object recognition", Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); https://doi.org/10.1117/12.477082

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