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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000010321217 | TA1637 N59 2012 | Open Access Book | Book | Searching... |
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Summary
Summary
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.
Author Notes
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.
Table of Contents
| Preface |
| 1 Introduction |
| 2 Images, Sampling and Frequency Domain Processing |
| 3 Basic Image Processing Operations |
| 4 Low-Level Feature Extraction (including Edge Detection) |
| 5 High-Level Feature Extraction: Fixed Shape Matching |
| 6 High-Level Feature Extraction: Deformable Shape Analysis |
| 7 Object Description |
| 8 Introduction to Texture Description, Segmentation and Classification |
| 9 Moving Object Detection and Description |
| 10 Appendix 1: Camera Geometry Fundamentals |
| 11 Appendix 2: Least Squares Analysis |
| 12 Appendix 3: Principal Components Analysis |
| 13 Appendix 4: Colour Images |
| References |
| Index |
