Title :
Recognition of the spatial position of industrial 3D-objects using relaxation techniques
Author :
Heuser, M. ; Liedtke, C.-E.
Author_Institution :
Inst. fuer Theor. Nachrichtentech. und Informationsverarbeitung, Hannover Univ., West Germany
Abstract :
The determination of the spatial position and orientation of industrial objects by optical sensors is important for the application of image processing methods in industrial automation. All approach is described which employs the extraction of a 2D structural description from a monocular view of the scene in a first step and a comparison with the 3D structural description of prototypes in a second step in order to find the object position. The structural comparison employs a relaxation method
Keywords :
factory automation; pattern recognition; picture processing; relaxation theory; 2D structural description; 3D structural description; feature extraction; industrial automation; industrial object recognition; monocular view; pattern recognition; picture processing; relaxation techniques; Artificial intelligence; Automation; Image analysis; Image processing; Image representation; Layout; Optical sensors; Parameter estimation; Prototypes; Relaxation methods;
Conference_Titel :
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location :
Atlantic City, NJ
Print_ISBN :
0-8186-2062-5
DOI :
10.1109/ICPR.1990.118088
