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中国图象图形学报 2011
Particle swarm optimization based pose and correspondence estimation
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Abstract:
Point Pattern Matching(PPM) is an important issue of computer vision and pattern recognition,which is widely used in target recognition,medical and remote image registration,pose estimation,etc.This paper proposes a particle swarm optimization(PSO) based approach for pose and correspondences estimation between the feature points of two images under affine transformation.In the method,the point sets matching problem is formulated as an objective function's optimization problem in the affine transformation pa...