Abstract
In the shape identification of the three dimensional object using a vision sensor, a system unaffected by the translation and the rotation of the object is required. The authors have developed a system for quickly identifying the shape of a 3-D object, using space encoding and a pattern transformation of image data. In this system, a dot-matrix-like pattern of bright spots is projected onto the object area, utilizing the optical diffraction effect produced by a fiber grating (FG) device. A spot projection pattern, which is obtained by the vision sensor, is transformed into a pattern of invariance to the translation of the object. The system is insensitive to the translation and the rotation of the object by training a multilayered neural network, using the transformed pattern.
This paper describes the method of shape identification of the 3-D object, using the FG vision sensor, and the configuration of the system. The results of the experiments, which were performed to verify the effectiveness of the proposed method. are discussed.
