This book is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the exemplar code of the algorithms". Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended. This title is an essential reading for engineers and students working in this cutting edge field. It is an ideal module text and background reference for courses in image processing and computer vision. This is the only currently-available text to concentrate on feature extraction with working implementation and worked through derivation.
Feature Extraction & Image Processing for Computer Vision
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"After reviewing the human vision system, Nixon.and Aguardo.introduce signal processing theory for computer vision and current digital techniques for edge detection within an image, fixed shape matching, and deformable shape analysis. The undergraduate engineering textbook also explains the characterization of objects by boundary, region, and texture descriptions."--Reference and Research Book News, February 2013
Über den Autor
Mark Nixon is the Professor in Computer Vision at the University of Southampton UK. His research interests are in image processing and computer vision. His team develops new techniques for static and moving shape extraction which have found application in biometrics and in medical image analysis. His team were early workers in automatic face recognition, later came to pioneer gait recognition and more recently joined the pioneers of ear biometrics. With Tieniu Tan and Rama Chellappa, their book Human ID based on Gait is part of the Springer Series on Biometrics and was published in 2005. He has chaired/ program chaired many conferences (BMVC 98, AVBPA 03, IEEE Face and Gesture FG06, ICPR 04, ICB 09, IEEE BTAS 2010) and given many invited talks. Dr. Nixon is a Fellow IET and a Fellow IAPR. Alberto Aguado is a principal programmer at Sportradar, where he works developing Image Processing and real-time multi-camera 3D tracking technologies for sport events. Previously, he worked as a technology programmer for Electronic Arts and for Black Rock Disney Game Studios. He worked as a Lecturer in the Centre for Vision, Speech and Signal Processing in the University of Surrey. He pursued a postdoctoral fellowship in Computer Vision at INRIA Rhone-Alpes and he received his PhD in Computer Vision /Image Processing from the University of Southampton.
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Good book!!!
26. Dezember 2012
Von Sebastian Gomez
- Veröffentlicht auf Amazon.com
Format:Taschenbuch
I haven't yet read the whole book but I've found so far what I need to give this book a good rating. It has a good balance between the mathematical background and practical implementations. Furthermore, when the theory is not well covered the proper references to the original papers or books are given. I like it!!!
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Unavoidable book for Image Processing Scientists and Lecturers
17. Mai 2013
Von Babatunde H.O
- Veröffentlicht auf Amazon.com
Format:Taschenbuch|Von Amazon bestätigter Kauf
This is lovely book. As a PhD student, I have been looking for a solution to a problem in image processing for 3 months but when I got this book it solved most of my problems. In fact, my PhD supervisor even liked the book. I strongly , without any forms of reservation, recommend this book for people working in image analysis and pattern recognition. The MATLAB codes in the book are also detailed and explanatory.
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