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Proceedings Paper

Genetic algorithm for projective invariant object recognition
Author(s): P. W. M. Tsang; Yu Zhang
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Paper 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.

Paper Details

Date Published: 31 July 2002
PDF: 5 pages
Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); doi: 10.1117/12.477082
Show Author Affiliations
P. W. M. Tsang, City Univ. of Hong Kong (Hong Kong)
Yu Zhang, City Univ. of Hong Kong (Hong Kong)

Published in SPIE Proceedings Vol. 4875:
Second International Conference on Image and Graphics
Wei Sui, Editor(s)

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