A programmable vision chip for CNN based algorithms

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...

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Bibliographic Details
Published in2000 6th IEEE International Workshop on Cellular Neural Networks and Their Applications Proceedings pp. 207 - 212
Main Authors Dupret, A., Klein, J.O., Nshare, A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2000
Subjects
Algorithm design and analysis
Buildings
Cellular neural networks
Circuits
Computer architecture
Concurrent computing
Image processing
Moore's Law
Parallel processing
Retina
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ISBN9780780363441
0780363442
DOI10.1109/CNNA.2000.876846

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Summary: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.
ISBN:9780780363441
0780363442
DOI:10.1109/CNNA.2000.876846