Local Binary Patterns: New Variants and Applications

1. Front Matter

   Pages i-x

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2. Introduction to Local Binary Patterns: New Variants and Applications

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

   Pages 1-13

3. LBP Theory

   1. Front Matter

      Pages 15-15

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   2. A Unifying Framework for LBP and Related Methods

      • Francesco Bianconi, Antonio Fernández

      Pages 17-46

4. New LBP Variants

   1. Front Matter

      Pages 47-47

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   2. Local Phase Quantization for Blur Insensitive Texture Description

      • Janne Heikkilä, Esa Rahtu, Ville Ojansivu

      Pages 49-84

   3. The Geometric Local Textural Patterns (GLTP)

      • S. A. Orjuela Vargas, J. P. Yañez Puentes, W. Philips

      Pages 85-112

   4. Local Configuration Features and Discriminative Learnt Features for Texture Description

      • Yimo Guo, Guoying Zhao, Matti Pietikäinen

      Pages 113-129

   5. Heterogeneous Ensemble of Classifiers for Sub-Cellular Image Classification Based on Local Ternary Patterns

      • Loris Nanni, Michelangelo Paci, Stefano Severi

      Pages 131-148

   6. FLBP: Fuzzy Local Binary Patterns

      • Stamos Katsigiannis, Eystratios Keramidas, Dimitris Maroulis

      Pages 149-175

   7. Ensemble of Local Phase Quantization Variants with Ternary Encoding

      • 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

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   2. State-of-the-Art LBP Descriptor for Face Recognition

      • Chi ho Chan, Josef Kittler, Norman Poh

      Pages 191-217

   3. Thermal Face Recognition in Unconstrained Environments Using Histograms of LBP Features

      • Javier Ruiz-del-Solar, Rodrigo Verschae, Gabriel Hermosilla, Mauricio Correa

      Pages 219-243

   4. Histogram-Tensorial Gaussian Representations and its Applications to Facial Analysis

      • John A. Ruiz Hernandez, James L. Crowley, Augustin Lux, Matti Pietikäinen

      Pages 245-268

6. Back Matter

   Pages 269-271

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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.

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

• 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

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