
English | 2012 | ISBN: 9780123869081 | 912 Pages | PDF | 32 MB
Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology

English | 2012 | ISBN: 9780123869081 | 912 Pages | PDF | 32 MB
Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology
Key features include:
Practical examples and case studies give the 'ins and outs' of developing real-world vision systems, giving engineers the realities of implementing the principles in practice
New chapters containing case studies on surveillance and driver assistance systems give practical methods on these cutting-edge applications in computer vision
Necessary mathematics and essential theory are made approachable by careful explanations and well-illustrated examples
Updated content and new sections cover topics such as human iris location, image stitching, line detection using RANSAC, performance measures, and hyperspectral imaging
The 'recent developments' section now included in each chapter will be useful in bringing students and practitioners up to date with the subject
Mathematics and essential theory are made approachable by careful explanations and well-illustrated examples
Updated content and new sections cover topics such as human iris location, image stitching, line detection using RANSAC, performance measures, and hyperspectral imaging
The 'recent developments' section now included in each chapter will be useful in bringing students and practitioners up to date with the subject
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