Computer Vision Using Local Binary Patterns

  • Matti Pietikäinen
  • Abdenour Hadid
  • Guoying Zhao
  • Timo Ahonen

Part of the Computational Imaging and Vision book series (CIVI, volume 40)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Local Binary Pattern Operators

    1. Front Matter
      Pages 1-1
    2. Matti Pietikäinen, Abdenour Hadid, Guoying Zhao, Timo Ahonen
      Pages 3-12
    3. Matti Pietikäinen, Abdenour Hadid, Guoying Zhao, Timo Ahonen
      Pages 13-47
    4. Matti Pietikäinen, Abdenour Hadid, Guoying Zhao, Timo Ahonen
      Pages 49-65
  3. Analysis of Still Images

    1. Front Matter
      Pages 67-67
    2. Matti Pietikäinen, Abdenour Hadid, Guoying Zhao, Timo Ahonen
      Pages 69-79
    3. Matti Pietikäinen, Abdenour Hadid, Guoying Zhao, Timo Ahonen
      Pages 81-88
    4. Matti Pietikäinen, Abdenour Hadid, Guoying Zhao, Timo Ahonen
      Pages 89-105
  4. Motion Analysis

    1. Front Matter
      Pages 107-107
    2. Matti Pietikäinen, Abdenour Hadid, Guoying Zhao, Timo Ahonen
      Pages 109-125
    3. Matti Pietikäinen, Abdenour Hadid, Guoying Zhao, Timo Ahonen
      Pages 127-134
    4. Matti Pietikäinen, Abdenour Hadid, Guoying Zhao, Timo Ahonen
      Pages 135-148
  5. Face Analysis

    1. Front Matter
      Pages 149-149
    2. Matti Pietikäinen, Abdenour Hadid, Guoying Zhao, Timo Ahonen
      Pages 151-168
    3. Matti Pietikäinen, Abdenour Hadid, Guoying Zhao, Timo Ahonen
      Pages 169-180
    4. Matti Pietikäinen, Abdenour Hadid, Guoying Zhao, Timo Ahonen
      Pages 181-189
  6. LBP in Various Computer Vision Applications

    1. Front Matter
      Pages 191-191
    2. Matti Pietikäinen, Abdenour Hadid, Guoying Zhao, Timo Ahonen
      Pages 193-204
  7. Computer Vision Using Local Binary Patterns

    1. Matti Pietikäinen, Abdenour Hadid, Guoying Zhao, Timo Ahonen
      Pages E1-E2

About this book

Introduction

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
- 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.

Keywords

Computer Vision Face Analysis Image and Video Analysis Local Binary Pattern Operator Local Descriptors Machine Vision Motion Analysis Pattern Recognition Texture Analysis

Authors and affiliations

  • Matti Pietikäinen
    • 1
  • Abdenour Hadid
    • 2
  • Guoying Zhao
    • 3
  • Timo Ahonen
    • 4
  1. 1.Department of Computer Science and Eng., Machine Vision GroupUniversity of OuluOuluFinland
  2. 2.Department of Computer Science and Eng., Machine Vision GroupUniversity of OuluOuluFinland
  3. 3.Department of Computer Science and Eng., Machine Vision GroupUniversity of OuluOuluFinland
  4. 4.Nokia Research CenterPalo AltoUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-85729-748-8
  • Copyright Information Springer-Verlag London Limited 2011
  • Publisher Name Springer, London
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-85729-747-1
  • Online ISBN 978-0-85729-748-8
  • Series Print ISSN 1381-6446
  • About this book