A Study On Description And Recognition Of Objects Based On Segment And Normal Vector Distributions

Three dimensional (3-D) object recognition holds an important position in a study of artificial intelligence and has been investigated from various viewpoints. From the standpoint of an application, a visual sensor used in current industrial robots uses only two dimensional information of images to increase processing speed[1]. However to advance the progress of factory automation, it is necessary to improve the function of a robot, and to introduce 3-D object recognition as a fundamental technique.