Local Binary Patterns: New Variants and Applications

This book introduces Local Binary Patterns (LBP), arguably one of the most powerful texture descriptors. It also provides the latest reviews of the literature and presents some of the best LBP variants.

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

Contenu
Introduction to LBP: New Variants and New Applications by Sheryl Brahnam, Lakhmi C. Jain, Alessandra Lumini, Loris Nanni.- A Unifying Framework for LBP and Related Methods, Francesco Bianconi and Antonio Fernández.- Local Phase Quantization for Blur Insensitive Texture Description, Janne Heikkilä, Esa Rahtu, and Ville Ojansivu.- The Geometric Local Textural Patterns (GLTP) Technique, S. A. Orjuela Vargas, J. P. Yañez Puentes, and W. Philips.- Local Configuration Features and Discriminative Learnt Features for Texture Description, Yimo Guo, Guoying Zhao, and Matti Pietikäinen.- Heterogeneous Ensemble of Classifiers for Sub-Cellular Image Classification Based on Local Ternary Patterns, Loris Nanni, Michelangeo Paci, and Stefano Severi.- Fuzzy Local Binary Patterns, Stamos Katsigiannis, Eystratios Keramidas, Dimitris Maroulis.- Ensemble of Local Phase Quantization Variants with Ternary Encoding, Loris Nanni, Sheryl Brahnam, Alessandra Lumini, and Tonya Barrier.- State-of-the-Art LBP Descriptor for Face Recognition, Cho Ho Chan, Josef Kittler, and Norman Poh.- Thermal Face Recognition in Unconstrained Environments Using Histograms of LBP Features, Javier Ruiz-del-Solar, Rodrigo Verschae, Gabriel Hermosilla, and Mauricio Correa.- Histogram-Tensorial Gaussian Representations and its Applications to Facial Analysis, John A. Ruiz Hernandez, James L. Crowley, Augustin Lux, and Matti Pietikäinen.