Computer Vision Using Local Binary Patterns

Author: Matti Pietikäinen
Edition: 2011
Binding: Hardcover
ISBN: 0857297473

Computer Vision Using Local Binary Patterns (Computational Imaging and Vision)

The recent emergence of Local Binary Patterns (LBP) has led to significant progress in applying texture methods to various computer vision problems and applications. Download Computer Vision Using Local Binary Patterns (Computational Imaging and Vision) from rapidshare, mediafire, 4shared. 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 Search and find a lot of computer books in many category availabe for free download.

Computer Vision Using Local Binary Patterns Free

Computer Vision Using Local Binary Patterns computer books for free. The focus of this research has broadened from 2D textures to 3D textures and spatiotemporal (dynamic) textures Computer Vision Using Local Binary Patterns provides a detailed description of the LBP methods and

Related education books

Handbook of Face Recognition

This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational face recognition systems. After a thorough introductory chapter, each

Digital Image Processing Using MATLAB, 2nd ed.

Digital Image Processing Using MATLAB is the first book to offer a balanced treatment of image processing fundamentals and the software principles used in their implementation. The book integrates material from the leading text, Digital Image Process

Pattern Recognition, Fourth Edition

This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the fiel

Boosting: Foundations and Algorithms (Adaptive Computation and Machine Learning series)

Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate "rules of thumb." A remarkably rich theory has evolved around boosting, with connections to a range of topics,