Paper
1 July 1990 ASP modules: cost-effective building blocks for real-time computer vision
R. M. Lea, Argy Krikelis
Author Affiliations +
Proceedings Volume 1246, Parallel Architectures for Image Processing; (1990) https://doi.org/10.1117/12.19567
Event: Electronic Imaging: Advanced Devices and Systems, 1990, Santa Clara, CA, United States
Abstract
Computer vision applications are characterised by the need to provide a rapid response to information derived from a high-speed continuous data stream. For example, real-time computer vision using noninterlaced (60 Hz) raster-scanned image frames requires the completion of all processing tasks (including data input and output) within a frame-time of 16.7 msec, suggesting processing rates of 10-1000 GOPS (Giga Operations Per Second (e.g. iO 8-bit additions per second) and input data rates approaching 1 Gbytes/sec. It is the requirement for such high-performance, unattainable by sequential architectures, which can only be achieved with massively parallel processing.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
R. M. Lea and Argy Krikelis "ASP modules: cost-effective building blocks for real-time computer vision", Proc. SPIE 1246, Parallel Architectures for Image Processing, (1 July 1990); https://doi.org/10.1117/12.19567
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Cited by 2 scholarly publications.
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KEYWORDS
Computer vision technology

Machine vision

Computer architecture

Image processing

Computing systems

Image understanding

Parallel computing

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