Abstract
Currently, high-speed vision based on parallel processing exists, and its various applications as high-speed intelligent systems have been proposed and implemented. The basic goal of high-speed vision is to realize vision capabilities and systems that operate at speeds necessary for intelligent systems, in which intelligence operating at the speed inherently required by the application system is achieved. This paper described the vision chip and parallel image processing architectures, presented outlines of system architectures, image-processing algorithms, and related peripheral technologies; described the concepts required to configure high-speed intelligent systems, such as hierarchical parallel distributed architecture, parallel decomposition, orthogonal decomposition, dynamics matching, latency minimization, high-speed 3D shape measurement, active vision, tracking vision, dynamic compensation, and dynamic projection mapping; and discussed a wide range of application systems in a systematic manner.
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