Computer and Machine Vision: Theory, Algorithms, Practicalities (Google eBook)

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Academic Press, Apr 18, 2012 - Technology & Engineering - 912 pages
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  • 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
  

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Contents

1 Vision the Challenge
1
1 LowLevel Vision
15
2 IntermediateLevel Vision
227
3 3D Vision and Motion
387
4 Toward RealTime Pattern Recognition Systems
523
Appendix A Robust Statistics
778
References
796
Author Index
845
Subject Index
861
Color Plates
872
Copyright

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About the author (2012)

Roy Davies is a Professor of Machine Vision at Royal Holloway, University of London, and has extensive experience of machine vision, image analysis, automated visual inspection, and noise suppression techniques. His book Electronics, Noise, and Signal Recovery was published in 1993 by Academic Press, and is a useful companion to the present volume.

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