A collection of essays based on the proceedings of the first UK workshop involving workers in parallel architectures and computer vision. It was organized by the British Computer Society, and held in Oxford in 1987, bringing together many of the leading researchers in the UK from both industry and academia. The essays discuss the potential offered by solutions to the problem of understanding natural images by computer and the likely effect on society. Robots for advanced manufacturing which control their own actions by vision, autonomous guided vehicles which can manoeuvre around the factory or office, and "electronic guide dogs" for the blind are all examples of current goals of vision research projects. In such "real-time" applications, natural scenes will have to be analyzed and understood in a fraction of a second. However, there is a huge gap between such applications and what is possible now, and such images often have to be of highly stylized scenes to make any analysis possible. It is argued that the future of computer vision will lie in the use of massive parallelism and that the advances now being made in VLSI technology may allow such parallelism to be economically feasible. The work is intended to be of value to researchers in computer vision, parallel computing, robotics, pattern recognition, artificial intelligence and associated subjects.
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A collection of essays based on the proceedings of the first UK workshop involving workers in parallel architectures and computer vision. It was organized by the British Computer Society, and held in Oxford in 1987, bringing together many of the leading researchers in the UK from both industry and academia. The essays discuss the potential offered by solutions to the problem of understanding natural images by computer and the likely effect on society. Robots for advanced manufacturing which control their own actions by vision, autonomous guided vehicles which can manoeuvre around the factory or office, and "electronic guide dogs" for the blind are all examples of current goals of vision research projects. In such "real-time" applications, natural scenes will have to be analyzed and understood in a fraction of a second. However, there is a huge gap between such applications and what is possible now, and such images often have to be of highly stylized scenes to make any analysis possible. It is argued that the future of computer vision will lie in the use of massive parallelism and that the advances now being made in VLSI technology may allow such parallelism to be economically feasible. The work is intended to be of value to researchers in computer vision, parallel computing, robotics, pattern recognition, artificial intelligence and associated subjects.
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