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Computer Vision: A Unified, Biologically-Inspired Approach
Computer Vision: A Unified, Biologically-Inspired Approach Summary:By Ian Overington
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. Contents: 1. Introduction. password:baribal Please select one mirror to download
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OLDER EBOOKSSponsored LinksComputer Vision: A Unified, Biologically-Inspired Approach Keywordsanalysis computer vision approach stereo sensing image local colour fragmentary treatment edge based segmentation texture contour visual aspects recommended approaches seeking computer vision visual function progressive development computer image sub pixel fragmentary image processing important aspects wide ranging approach biologically inspired approach unified biologically inspiredComputer Vision: A Unified, Biologically-Inspired Approach download copyrightThis site does not store Computer Vision: A Unified, Biologically-Inspired Approach on its server. We only index and link to Computer Vision: A Unified, Biologically-Inspired Approach provided by other sites. Please contact the content providers to delete Computer Vision: A Unified, Biologically-Inspired Approach if any and email us, we'll remove relevant links or contents immediately. |
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