Pose recognition of gray-scaled template image using genetic algorithm

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  • 遺伝的アルゴリズムを用いた濃淡テンプレート画像の姿勢認識
  • イデンテキ アルゴリズム オ モチイタ ノウタン テンプレート ガゾウ ノ シセイ ニンシキ

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Abstract

The template matching is known as a general-purposed image processing method. However, the target image area to be searched must have the right position and the same scale as the template image. This paper proposes a method to search the target image area efficiently that has a free location, inclination and scale in an objective image. The genetic algorithm is applied to both the template registration process and the matching process to perform the efficient search. In the template registration process, only important pixels to perform the reliable matching are extracted. In the matching process, the parameters that represent the pose of the target image area are searched. The experimental results show that the proper target image areas with free locations, inclinations and scales were searched successfully and the averaged processing time was reached to 1.1 second.

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