A massively parallel and versatile architecture for computer vision

Abstract

A massively parallel architecture for vision that can be efficiently implemented as a dense and regular VLSI circuit is proposed. It consists of locally connected array of simple processors possessing certain capabilities, making it possible to form a complete vision system for binary images, that can operate in real time. For low level processing both a systolic implementation on a 2D array, as well as a non-systolic 'retinotopic' processing is possible. For the intermediate level, support for pyramidal hierarchy on the array is provided. To facilitate high level vision processing on the same architecture both AI, as well as the binary neural network approaches are applied.<>