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Computer Vision E. R. Davies (Emeritus Professor of Machine Vision, Royal Holloway, University of London, UK)

Computer Vision By E. R. Davies (Emeritus Professor of Machine Vision, Royal Holloway, University of London, UK)

Computer Vision by E. R. Davies (Emeritus Professor of Machine Vision, Royal Holloway, University of London, UK)

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Computer Vision Summary

Computer Vision: Principles, Algorithms, Applications, Learning by E. R. Davies (Emeritus Professor of Machine Vision, Royal Holloway, University of London, UK)

Computer Vision: Principles, Algorithms, Applications, Learning (previously entitled Computer and Machine Vision) clearly and systematically presents the basic methodology of computer vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fifth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date text suitable for undergraduate and graduate students, researchers and R&D engineers working in this vibrant subject. See an interview with the author explaining his approach to teaching and learning computer vision - http://scitechconnect.elsevier.com/computer-vision/

About E. R. Davies (Emeritus Professor of Machine Vision, Royal Holloway, University of London, UK)

Roy Davies is Emeritus Professor of Machine Vision at Royal Holloway, University of London. He has worked on many aspects of vision, from feature detection to robust, real-time implementations of practical vision tasks. His interests include automated visual inspection, surveillance, vehicle guidance, crime detection and neural networks. He has published more than 200 papers, and three books. Machine Vision: Theory, Algorithms, Practicalities (1990) has been widely used internationally for more than 25 years, and is now out in this much enhanced fifth edition. Roy holds a DSc at the University of London, and has been awarded Distinguished Fellow of the British Machine Vision Association, and Fellow of the International Association of Pattern Recognition.

Table of Contents

1. Vision, the Challenge2. Images and Imaging Operations3. Image Filtering and Morphology4. The Role of Thresholding5. Edge Detection6. Corner, Interest Point and Invariant Feature Detection7. Texture Analysis8. Binary Shape Analysis9. Boundary Pattern Analysis10. Line, Circle and Ellipse Detection11. The Generalised Hough Transform12. Object Segmentation and Shape Models13. Basic Classification Concepts14. Machine Learning: Probabilistic Methods15. Deep Learning Networks16. The Three-Dimensional World17. Tackling the Perspective n-point Problem18. Invariants and perspective19. Image transformations and camera calibration20. Motion21. Face Detection and Recognition: the Impact of Deep Learning22. Surveillance23. In-Vehicle Vision Systems24. EpiloguePerspectives in VisionAppendix A: Robust statisticsAppendix B: The Sampling TheoremAppendix C: The representation of colourAppendix D: Sampling from distributions

Additional information

NGR9780128092842
9780128092842
012809284X
Computer Vision: Principles, Algorithms, Applications, Learning by E. R. Davies (Emeritus Professor of Machine Vision, Royal Holloway, University of London, UK)
E. R. Davies (Emeritus Professor of Machine Vision, Royal Holloway, University of London, UK)
New
Hardback
Elsevier Science Publishing Co Inc
2017-11-14
900
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a new book - be the first to read this copy. With untouched pages and a perfect binding, your brand new copy is ready to be opened for the first time

Customer Reviews - Computer Vision