Overview
- Written by pioneers in the topic of Local Binary Patterns
- Contains a wealth of illustrations to aid a deeper understanding of the subject
- Offers those working with LBPs a single point of reference by providing a comprehensive coverage of the uses of Local Binary Pattern methodology.
- Includes supplementary material: sn.pub/extras
Part of the book series: Computational Imaging and Vision (CIVI, volume 40)
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Table of contents (14 chapters)
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Front Matter
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Local Binary Pattern Operators
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Front Matter
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Analysis of Still Images
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Front Matter
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Motion Analysis
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Front Matter
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Face Analysis
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Front Matter
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LBP in Various Computer Vision Applications
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Front Matter
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Computer Vision Using Local Binary Patterns
Keywords
About this book
The recent emergence of Local Binary Patterns (LBP) has led to significant progress in applying texture methods to various computer vision problems and applications. The focus of this research has broadened from 2D textures to 3D textures and spatiotemporal (dynamic) textures. Also, where texture was once utilized for applications such as remote sensing, industrial inspection and biomedical image analysis, the introduction of LBP-based approaches have provided outstanding results in problems relating to face and activity analysis, with future scope for face and facial expression recognition, biometrics, visual surveillance and video analysis.
Computer Vision Using Local Binary Patterns provides a detailed description of the LBP methods and their variants both in spatial and spatiotemporal domains. This comprehensive reference also provides an excellent overview as to how texture methods can be utilized for solving different kinds of computer vision and image analysis problems. Source codes of the basic LBP algorithms, demonstrations, some databases and a comprehensive LBP bibliography can be found from an accompanying web site.
Topics include: local binary patterns and their variants in spatial and spatiotemporal domains, texture classification and segmentation, description of interest regions, applications in image retrieval and 3D recognition - Recognition and segmentation of dynamic textures, background subtraction, recognition of actions, face analysis using still images and image sequences, visual speech recognition and LBP in various applications.
Written by pioneers of LBP, this book is an essential resource for researchers, professional engineers and graduate students in computer vision, image analysis and pattern recognition. The book will also be of interest to all those who work with specific applications of machine vision.
Reviews
From the reviews:
“This book will be of interest mainly to computer vision practitioners and other researchers interested in visual pattern recognition techniques. It presents ‘local binary patterns’ and their many variants and applications. … this monograph is an accessible introduction to and survey of the local pattern approach to visual recognition by the group that has the most extensive experience with it. … the book will be a valuable addition to the library of any specialist working in these areas.” (Bill Triggs, SIAM Review, Vol. 54 (4), 2012)Authors and Affiliations
Bibliographic Information
Book Title: Computer Vision Using Local Binary Patterns
Authors: Matti Pietikäinen, Abdenour Hadid, Guoying Zhao, Timo Ahonen
Series Title: Computational Imaging and Vision
DOI: https://doi.org/10.1007/978-0-85729-748-8
Publisher: Springer London
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag London Limited 2011
Hardcover ISBN: 978-0-85729-747-1Published: 22 June 2011
Softcover ISBN: 978-1-4471-2665-2Published: 03 August 2013
eBook ISBN: 978-0-85729-748-8Published: 21 June 2011
Series ISSN: 1381-6446
Edition Number: 1
Number of Pages: XVI, 212
Topics: Mathematics, general, Computer Imaging, Vision, Pattern Recognition and Graphics, Image Processing and Computer Vision, Pattern Recognition, Biometrics, Signal, Image and Speech Processing