Over the past ten years, there has been significant progress in the use of parallel algorithms and architectures for image understanding. These advances have been made by vision researchers attempting to use parallel approaches to speed up their image understanding techniques, as well as by parallel processing researchers who have applied their techniques to generic problems in computational vision. This volume brings together the work of top researchers in computer vision and parallel processing. Topics covered include complexity issues in parallel approaches to vision, parallel architectures for vision, parallel algorithms for vision, experimental and commercial systems for vision, and the impact of emerging technologies, such as optics and electro-optics.
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Over the past ten years, there has been significant progress in the use of parallel algorithms and architectures for image understanding. These advances have been made by vision researchers attempting to use parallel approaches to speed up their image understanding techniques, as well as by parallel processing researchers who have applied their techniques to generic problems in computational vision. This volume brings together the work of top researchers in computer vision and parallel processing. Topics covered include complexity issues in parallel approaches to vision, parallel architectures for vision, parallel algorithms for vision, experimental and commercial systems for vision, and the impact of emerging technologies, such as optics and electro-optics.
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