@inproceedings{tbbz_icpr90,
author = "Bernard, T. and Zavidovique, B.",
title = "About the Adjective ``Neural'', when Applied to Smart Sensors",
booktitle = "Proc. IAPR Int. Conf. on Pattern Recognition",
address = "Atlantic City, New Jersey",
pages = "556-560",
month = jun,
year = 1990
}
Abstract
In order to embed complete vision processes within a monolithic smart sensor, we are involved in the design of a compact and parallel cellular array featuring minimal size boolean processors associated with optoelectronic devices and non-standard A/D converters. This "human-size" vision machine is called Retina. We show that the rapprochement between acquisition and processing is particularly suited for the emmergence of novel kinds of interactions between analog and digital computations. We especially emphazise the immediate interest of analog neural computations for the non-standard A/D conversion implied by the Retina structure. We show the optimality of the corresponding process. However we claim that, within smart sensors, pattern recognition is better carried out thanks to an iterative boolean computational scheme.
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