Csaba Rekeczky

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A bio-inspired model for an analog programmable array processor (APAP), based on studies on the vertebrate retina, has permitted the realization of complex programmable spatio-temporal dynamics in VLSI. This model mimics the way in which images are processed in the visual pathway, what renders a feasible alternative for the implementation of early vision(More)
This paper describes a full-custom mixed-signal chip that embeds digitally programmable analog parallel processing and distributed image memory on a common silicon substrate. The chip was designed and fabricated in a standard 0.5µm CMOS technology and contains approximately 500,000 transistors. It consists of 1024 processing units arranged into a 32×32(More)
The first CNN technology-based, high performance industrial visual computer called Aladdin is reported. The revolutionary device is the world premier of the ACE4k Cellular Visual Microprocessor (CVM) chip powering an industrial visual computer. One of the most important features of the Aladdin system is the image processing library. The library reduces(More)
In this paper it is shown that by building on parallel topographic CNN preprocessing of image flows, efficient terrain exploration and visual navigation algorithms can be developed. The approach combines several channels of nonlinear spatio-temporal feature detectors within an analogic CNN algorithm and produces unique binary maps of salient feature(More)
In this paper an on-chip implementation of the active contour technique called pixel-level snakes is proposed. This is based on an optimized analogic CNN algorithm with capabilities to support changes in the contour topology. The entire algorithm has been implemented on a 64x64 CNN-UM chip set architecture for which the results of the time performance(More)
In this paper, experimental results on Cellular Neural Network Universal Machine (CNN-UM, [1]-[4]) chips will be presented. These analogic spatio-temporal visual microprocessors make it possible that one can use nonlinear waves as the basic kernels of algorithms solving filtering-reconstruction and/or detection-classification problems. Showing output(More)