Current Advancements in Stereo Vision
by Asim Bhatti (ed.)
Publisher: InTech 2012
Number of pages: 224
The topics covered in this book include fundamental theoretical aspects of robust stereo correspondence estimation, novel and robust algorithms, hardware implementation for fast execution and applications in wide range of disciplines. Particularly interesting approaches include neuromorphic engineering, probabilistic analysis and anisotropic reaction diffusion addressing the problem of stereo correspondence and the applications in mobile robotics for autonomous terrain mapping and navigation.
Home page url
Download or read it online for free here:
by Xenophon Papademetris - Image Processing and Analysis Group
The author's goal was to provide sufficient introductory material for a typical 1st year engineering graduate student with some background in programming in C and C++ to leverage modern open source toolkits in medical image analysis.
by Jan Erik Solem - O'Reilly Media
The idea behind this book is to give an easily accessible entry point to hands-on computer vision with enough understanding of the underlying theory and algorithms to be a foundation for students, researchers and enthusiasts.
by Bruce G. Batchelor - Springer-Verlag
The author introduces the basic concepts of machine vision, then develops these ideas to describe intelligent imaging techniques for use in a new generation of industrial imaging systems. Several case studies in industrial applications are discussed.
by Julio Ponce, Adem Karahoca - IN-TECH
Nearest feature classification for face recognition, subspace methods, a multi-stage classifier for face recognition undertaken by coarse-to-fine strategy, PCA-ANN face recognition system based on photometric normalization techniques, etc.