Title :
Intelligent pattern recognition in 3D vision for robot control
Author_Institution :
Dept. of Mech. Eng. Sci., Tokyo Univ., Japan
Abstract :
Proposes a recognition method by which 3D information of overlapped objects can be constructed, taking into account the fuzzy quantities of linearity and roundedness of image data. The recognition approach was based on grey-level image processing as well as color and binary image processing. Grey-level image data were used for classifying the image patterns into the specific candidate group. Then the other data are obtained by changing the attitude of the objects slightly, so that the 3D image data can be reconstructed for pattern recognition and understanding. An expert system for the pattern recognition and the understanding of objects is constructed based on a production system. The system gives commands to rotate the objects in a certain direction to increase the image information about the objects until they can be identified
Keywords :
computer vision; computerised pattern recognition; computerised picture processing; expert systems; robots; 3D vision; binary image processing; colour image processing; expert system; fuzzy quantities; grey-level image processing; image data reconstruction; image understanding; intelligent pattern recognition; linearity; object attitude; object identification; object rotation; overlapped objects; production system; robot control; roundedness; Color; Expert systems; Image processing; Image recognition; Image reconstruction; Intelligent robots; Linearity; Pattern recognition; Production systems; Robot control;
Conference_Titel :
Artificial Intelligence for Industrial Applications, 1988. IEEE AI '88., Proceedings of the International Workshop on
Conference_Location :
Hitachi City
DOI :
10.1109/AIIA.1988.13306
