DocumentCode
3056375
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
fYear
1990
fDate
4-7 Nov 1990
Firstpage
707
Lastpage
710
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 1990. Conference Proceedings., IEEE International Conference on
Conference_Location
Los Angeles, CA
Print_ISBN
0-87942-597-0
Type
conf
DOI
10.1109/ICSMC.1990.142211
Filename
142211
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