Title :
Artificial neural networks in visual perception
Author :
Bennamoun, M. ; Bayoumi, M.M.
Author_Institution :
Dept. of Electr. Eng., Queen´´s Univ., Kingston, Ont., Canada
Abstract :
A general framework for using artificial neural networks in the recognition of 3-D objects from a single view is provided. An autonomous 3-D object recognition system based on the theories of superquadrics and fractals is presented. These theories are combined with artificial neural network models
Keywords :
fractals; neural nets; pattern recognition; fractals; superquadrics; visual perception; Artificial neural networks; Computer vision; Fractals; Image recognition; Intelligent networks; Machine vision; Object recognition; Shape; Speech recognition; Visual perception;
Conference_Titel :
Intelligent Control, 1990. Proceedings., 5th IEEE International Symposium on
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-8186-2108-7
DOI :
10.1109/ISIC.1990.128502
