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＜電子ブック＞
Computer Vision Using Local Binary Patterns / by Matti Pietikäinen, Abdenour Hadid, Guoying Zhao, Timo Ahonen
(Computational Imaging and Vision ; 40)

版	1st ed. 2011.
出版者	(London : Springer London : Imprint: Springer)
出版年	2011
本文言語	英語
大きさ	XVI, 212 p : online resource
著者標目	*Pietikäinen, Matti author Hadid, Abdenour author Zhao, Guoying author Ahonen, Timo author SpringerLink (Online service)
件　名	LCSH:Mathematics LCSH:Image processing -- Digital techniques  全ての件名で検索 LCSH:Computer vision LCSH:Pattern recognition systems LCSH:Biometric identification LCSH:Signal processing FREE:Mathematics FREE:Computer Imaging, Vision, Pattern Recognition and Graphics FREE:Computer Vision FREE:Automated Pattern Recognition FREE:Biometrics FREE:Signal, Speech and Image Processing
一般注記	Background -- Local binary patterns for still images -- Spatiotemporal LBP -- Texture classification and segmentation -- Description of interest regions -- Applications in image retrieval and 3D recognition -- Recognition and segmentation of dynamic textures -- Background subtraction -- Recognition of actions -- Face analysis using still images -- Face analysis using image sequences -- Visual recognition of spoken phrases -- LBP in different applications The recent emergence of Local Binary Patterns (LBP) has led to significant progress in applying texture methods to various computer vision problems and applications. The focus of this research has broadened from 2D textures to 3D textures and spatiotemporal (dynamic) textures. Also, where texture was once utilized for applications such as remote sensing, industrial inspection and biomedical image analysis, the introduction of LBP-based approaches have provided outstanding results in problems relating to face and activity analysis, with future scope for face and facial expression recognition, biometrics, visual surveillance and video analysis.   Computer Vision Using Local Binary Patterns provides a detailed description of the LBP methods and their variants both in spatial and spatiotemporal domains. This comprehensive reference also provides an  excellent overview as to how texture methods can be utilized for solving different kinds of computer vision and image analysis problems. Source codes of the basic LBP algorithms, demonstrations, some databases and a comprehensive LBP bibliography can be found from an accompanying web site. Topics include:   - Local binary patterns and their variants in spatial and spatiotemporal domains - Texture classification and segmentation, description of interest regions - Applications in image retrieval and 3D recognition - Recognition and segmentation of dynamic textures - Background subtraction, recognition of actions - Face analysis using still images and image sequences, visual speech recognition - LBP in various applications   Written by pioneers of LBP, this book is an essential resource for researchers, professional engineers and graduate students in computer vision, image analysis and pattern recognition. The book will also be of interest to all those who work with specific applications of machine vision HTTP:URL=https://doi.org/10.1007/978-0-85729-748-8

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