Pose Estimation in AVI from Unknown Correspondences Using Genetic Algorithm
نویسندگان
چکیده
In this paper we propose a model based approach to determine correspondences and pose of objects in automated visual inspection applications. The method does not consider correspondence and pose estimation problems as two distinct processes. Rather they are viewed as two cooperative processes and implemented through a proposed new composite chromosome structure of Genetic Algorithm (GA). GA evolves sets of poses and matched vertices sequences and the evolution process continues until a good accuracy in the values of pose parameters are obtained. The strength and robustness of our method are demonstrated by thorough testing on both simulated and real data in an Automated Visual Inspection (AVI) system.
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