Local Binary Patterns: New Variants and Applications

  • Sheryl Brahnam
  • Lakhmi C. Jain
  • Loris Nanni
  • Alessandra Lumini

Part of the Studies in Computational Intelligence book series (SCI, volume 506)

Table of contents

  1. Front Matter
    Pages i-x
  2. Sheryl Brahnam, Lakhmi C. Jain, Alessandra Lumini, Loris Nanni
    Pages 1-13
  3. LBP Theory

    1. Front Matter
      Pages 15-15
    2. Francesco Bianconi, Antonio Fernández
      Pages 17-46
  4. New LBP Variants

    1. Front Matter
      Pages 47-47
    2. Janne Heikkilä, Esa Rahtu, Ville Ojansivu
      Pages 49-84
    3. S. A. Orjuela Vargas, J. P. Yañez Puentes, W. Philips
      Pages 85-112
    4. Yimo Guo, Guoying Zhao, Matti Pietikäinen
      Pages 113-129
    5. Stamos Katsigiannis, Eystratios Keramidas, Dimitris Maroulis
      Pages 149-175
    6. Loris Nanni, Sheryl Brahnam, Alessandra Lumini, Tonya Barrier
      Pages 177-188
  5. LBP and New Variants Applied to Face Recognition

    1. Front Matter
      Pages 189-189
    2. Chi ho Chan, Josef Kittler, Norman Poh
      Pages 191-217
    3. Javier Ruiz-del-Solar, Rodrigo Verschae, Gabriel Hermosilla, Mauricio Correa
      Pages 219-243
    4. John A. Ruiz Hernandez, James L. Crowley, Augustin Lux, Matti Pietikäinen
      Pages 245-268
  6. Back Matter
    Pages 269-271

About this book

Introduction

This book introduces Local Binary Patterns (LBP), arguably one of the most powerful texture descriptors, and LBP variants. This volume provides the latest reviews of the literature and a presentation of some of the best LBP variants by researchers at the forefront of textual analysis research and research on LBP descriptors and variants. The value of LBP variants is illustrated with reported experiments using many databases representing a diversity of computer vision applications in medicine, biometrics, and other areas. There is also a chapter that provides an excellent theoretical foundation for texture analysis and LBP in particular. A special section focuses on LBP and LBP variants in the area of face recognition, including thermal face recognition. This book will be of value to anyone already in the field as well as to those interested in learning more about this powerful family of texture descriptors.

Keywords

Computational Intelligence Computer Vision Local Areas of Image Contrast Local Binary Pattern (LBP)

Editors and affiliations

  • Sheryl Brahnam
    • 1
  • Lakhmi C. Jain
    • 2
  • Loris Nanni
    • 3
  • Alessandra Lumini
    • 4
  1. 1.Computer Information SystemsMissouri State UniversitySpringfieldUSA
  2. 2.Faculty of Education, Science, Technology & MathematicsUniversity of CanberraCanberraAustralia
  3. 3.Departimento di Elettronica e Informatica (DEI)Università di PadovaPaduaItaly
  4. 4.DEIS University of BolognaCesenaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-39289-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-39288-7
  • Online ISBN 978-3-642-39289-4
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book