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Titlebook: Local Binary Patterns: New Variants and Applications; Sheryl Brahnam,Lakhmi C. Jain,Alessandra Lumini Book 2014 Springer-Verlag Berlin Hei

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书目名称Local Binary Patterns: New Variants and Applications
编辑Sheryl Brahnam,Lakhmi C. Jain,Alessandra Lumini
视频video
概述Latest research on Local Binary Pattern.Documentation and introduction to Local Binary Patterns and its applications.Written by leading experts in the field
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Local Binary Patterns: New Variants and Applications;  Sheryl Brahnam,Lakhmi C. Jain,Alessandra Lumini Book 2014 Springer-Verlag Berlin Hei
描述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.
出版日期Book 2014
关键词Computational Intelligence; Computer Vision; Local Areas of Image Contrast; Local Binary Pattern (LBP)
版次1
doihttps://doi.org/10.1007/978-3-642-39289-4
isbn_softcover978-3-662-50848-0
isbn_ebook978-3-642-39289-4Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2014
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https://doi.org/10.1007/978-3-642-39289-4Computational Intelligence; Computer Vision; Local Areas of Image Contrast; Local Binary Pattern (LBP)
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Sheryl Brahnam,Lakhmi C. Jain,Alessandra LuminiLatest research on Local Binary Pattern.Documentation and introduction to Local Binary Patterns and its applications.Written by leading experts in the field
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Local Phase Quantization for Blur Insensitive Texture Descriptionour descriptor including rotation invariance and dynamic texture representation. Moreover, we present texture classification experiments, which illustrate the behavior under several different blur configurations. Surprisingly, the descriptor also achieves state-of-the-art performance with sharp text
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