Pose Detection of 3D Object by Genetic Algorithm
نویسندگان
چکیده
In this study, an algorithm for detection of the specified object pose is proposed. In input data are range images being accumulated in a process of which a stere-ovision moves arbitrary. .4n improvement genetic algorithm (GA) is applied to the model base matching. Since it thought that viewpoint movement brings dynamic environment to GA, to cope with the multi-peak problem and changes of an evaluation function, two concepts, "breed" and "competitive coexistence" are introduced to GA. For performing robust matching, a generation technique of an evaluation space using the 3D morphological operation is proposed. Finally experiments are performed, and the validity of algorithm is shown.
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