DocumentCode
2534766
Title
A programmable vision chip for CNN based algorithms
Author
Dupret, A. ; Klein, J.O. ; Nshare, A.
Author_Institution
Inst. d´´Electron. Fondamentale, Univ. de Paris-Sud, Orsay, France
fYear
2000
fDate
2000
Firstpage
207
Lastpage
212
Abstract
In this paper, an original architecture of cellular neural network (CNN) vision chip is addressed. In the introduction, an analyse of the limitations of the usual approaches leads us to propose an original architecture. The paper is dedicated to the description of the three main blocks of our vision chip. Then, the major building blocks are detailed. Finally, design considerations and the practical implementation of a typical CNN algorithm are discussed
Keywords
cellular neural nets; computer vision; convolution; mixed analogue-digital integrated circuits; neural net architecture; cellular neural network; convolution; digital analog processor; neural net architecture; programmable vision chip; Algorithm design and analysis; Buildings; Cellular neural networks; Circuits; Computer architecture; Concurrent computing; Image processing; Moore´s Law; Parallel processing; Retina;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
Conference_Location
Catania
Print_ISBN
0-7803-6344-2
Type
conf
DOI
10.1109/CNNA.2000.876846
Filename
876846
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