Local Binary Patterns: New Variants and Applications Softcover reprint of the original 1st ed. 2014 Edition

Local Binary Patterns: New Variants and Applications Softcover reprint of the original 1st ed. 2014 Edition book cover

Local Binary Patterns: New Variants and Applications Softcover reprint of the original 1st ed. 2014 Edition

Author(s): Sheryl Brahnam (Editor), Lakhmi C. Jain (Editor), Loris Nanni (Editor), Alessandra Lumini (Editor)

  • Publisher: Springer
  • Publication Date: August 27, 2016
  • Edition: Softcover reprint of the original 1st ed. 2014
  • Language: English
  • Print length: 281 pages
  • ISBN-10: 3662508486
  • ISBN-13: 9783662508480

Book Description

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.

Editorial Reviews

From the Back Cover

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.

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