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Computer Vision Using Local Binary Patterns

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 wa...

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Main Authors: Pietikäinen, Matti. (Author, http://id.loc.gov/vocabulary/relators/aut), Hadid, Abdenour. (http://id.loc.gov/vocabulary/relators/aut), Zhao, Guoying. (http://id.loc.gov/vocabulary/relators/aut), Ahonen, Timo. (http://id.loc.gov/vocabulary/relators/aut)
企業作者: SpringerLink (Online service)
格式: 電子 電子書
語言:English
出版: London : Springer London : Imprint: Springer, 2011.
版:1st ed. 2011.
叢編:Computational Imaging and Vision, 40
主題:
Mathematics.
Optical data processing.
Pattern recognition.
Biometrics (Biology).
Signal processing.
Image processing.
Speech processing systems.
Mathematics, general.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Image Processing and Computer Vision.
Pattern Recognition.
Biometrics.
Signal, Image and Speech Processing.
在線閱讀:https://doi.org/10.1007/978-0-85729-748-8
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書本目錄:
  • 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.

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