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Local Binary Patterns: New Variants and Applications

  • Book
  • © 2014

Overview

  • Latest research on Local Binary Pattern
  • Documentation and introduction to Local Binary Patterns and its applications
  • Written by leading experts in the field

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

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Table of contents (11 chapters)

  1. LBP Theory

  2. New LBP Variants

  3. LBP and New Variants Applied to Face Recognition

Keywords

About this book

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.

Editors and Affiliations

  • Computer Information Systems, Missouri State University, Springfield, USA

    Sheryl Brahnam

  • Faculty of Education, Science, Technology & Mathematics, University of Canberra, Canberra, Australia

    Lakhmi C. Jain

  • Departimento di Elettronica e Informatica (DEI), Università di Padova, Padua, Italy

    Loris Nanni

  • DEIS University of Bologna, Cesena, Italy

    Alessandra Lumini

Bibliographic Information

  • Book Title: Local Binary Patterns: New Variants and Applications

  • Editors: Sheryl Brahnam, Lakhmi C. Jain, Loris Nanni, Alessandra Lumini

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-39289-4

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2014

  • Hardcover ISBN: 978-3-642-39288-7Published: 12 September 2013

  • Softcover ISBN: 978-3-662-50848-0Published: 27 August 2016

  • eBook ISBN: 978-3-642-39289-4Published: 01 September 2013

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: X, 271

  • Number of Illustrations: 88 b/w illustrations, 5 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Image Processing and Computer Vision

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