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Computer Vision: A Unified, Biologically-Inspired Approach
Computer Vision: A Unified, Biologically-Inspired Approach
Date: 12 November 2010, 03:43

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Computer Vision: A Unified, Biologically-Inspired Approach By Ian Overington
Publisher: Elsevier Publishing 1992 | 423 Pages | ISBN: 0444889728 | PDF | 37 MB


This volume provides comprehensive, self-consistent coverage of one approach to computer vision, with many direct or implied links to human vision. The book is the result of many years of research into the limits of human visual performance and the interactions between the observer and his environment. A wide-ranging approach to computer vision is described. The treatment starts with a summary account of important aspects of human visual function. This is then followed by a progressive development of the computer image processing, from sub-pixel fragmentary edge determination to optical flow field analysis, local and global stereo analysis, colour imagery, edge-based region segmentation, perceptual texture segmentation and high fidelity contour form analysis. This treatment is considerably different from other more publicized approaches, and is recommended for those seeking a dynamic approach to computer vision.






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