Feature Extraction and Image Processing for Computer Vision

Nixon BSc MSc PhD, Mark

ISBN 10: 0123965497 / ISBN 13: 9780123965493

Published by Academic Press (edition 3), 2012

About this Item

It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.

Seller Inventory # 0123965497-11-1

Bibliographic Details

• Title: Feature Extraction and Image Processing for Computer Vision
• Publisher: Academic Press (edition 3)
• Publication Date: 2012
• Language: English
• ISBN 10: 0123965497
• ISBN 13: 9780123965493
• Binding: Paperback
• Edition: 3.
• Condition: Good

About this title

Synopsis

Feature Extraction and Image Processing for Computer Vision 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.

• Named a 2012 Notable Computer Book for Computing Methodologies by Computing Reviews
• Essential reading for engineers and students working in this cutting-edge field
• Ideal module text and background reference for courses in image processing and computer vision
• The only currently available text to concentrate on feature extraction with working implementation and worked through derivation

About the Author

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.