Title :
Analog VLSI implementation of the Hassenstein-Reichardt-Poggio models for vision computation
Author :
Andreou, Andreas G. ; Strohbehn, Kim
Author_Institution :
Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA
Abstract :
The engineering of analog VLSI processors for computer vision is discussed. These are based on the Hassenstein-Reichardt-Poggio models for information processing in the visual systems of the fly. It is shown how neural network models can be mapped on silicon integrated circuits for performing tasks that can be handled efficiently by digital computing machinery. Hardware architectures for both position and motion computation are described
Keywords :
VLSI; computer vision; computerised pattern recognition; linear integrated circuits; neural nets; Hassenstein-Reichardt-Poggio models; analog VLSI processors; computer vision; linear IC; motion computation; neural network; Computer networks; Computer vision; Digital integrated circuits; Information processing; Integrated circuit modeling; Machinery; Neural networks; Silicon; Very large scale integration; Visual system;
Conference_Titel :
Systems, Man and Cybernetics, 1990. Conference Proceedings., IEEE International Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-87942-597-0
DOI :
10.1109/ICSMC.1990.142211
