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Particle swarm optimization based pose and correspondence estimation
匹配与姿态估计的粒子群优化算法

Keywords: computer vision,pose estimation,point pattern matching,particle swarm optimization
计算机视觉
,姿态估计,点模式匹配,粒子群优化

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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...

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