SUMMARYThis paper proposes a method of measuring the twodimensional pose of an object by means of a voting process based on the geometrical parameters of selected future pixels. The proposed method can measure the location and inclination of an object even if the object has an arbitrary two-dimensional pose in an image. In the template registration process, the geometrical parameters of multiple selected future pixels are registered in the template table. In the matching process, a target image area with a figure similar to a template image is sought by using the geometrical parameters of the future pixels. Experimental results show that the poses of objects with arbitrary locations and inclinations were recognized successfully by the proposed method with higher-speed matching than by conventional methods.

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SUMMARYThis paper proposes a method to measure the two-dimensional pose of an object by using voting process based on geometrical and gray-level features between edge pixels and the base point. The proposed method can measure a location and an inclination of an object even if the object has a free pose in an image. In the template registration process, the geometrical features and the distribution of gray levels for all edge pixels are registered into the template table. In the matching process, not only the geometrical features but also the arrays of gray levels between the edge pixels and the base point are used for the matching. The experimental results show that the poses of objects with free locations and inclinations were recognized successfully by the proposed method. High-speed matching was realized in comparison with the conventional methods.