State of the Art in Face Recognition
by Julio Ponce, Adem Karahoca
Publisher: IN-TECH 2009
Number of pages: 436
Nearest feature classification for face recognition, subspace methods for face recognition, a multi-stage classifier for face recognition undertaken by coarse-to-fine strategy, PCA-ANN face recognition system based on photometric normalization techniques, online incremental face recognition system using eigenface feature and neural classifier, and more.
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by Widodo Budiharto - Science Publishing Group
This book is written to provide an introduction to intelligent robotics using OpenCV. It is intended for a first course in robot vision and covers modeling and implementation of intelligent robot. Written for student and hobbyist.
by S. Dance, Z.Q. Liu, T.M. Caelli - World Scientific
Explores a method for symbolically intrepreting images based upon a parallel implementation of a network-of-frames to describe intelligent processing. The system has been implemented in an object-oriented environment in the language Parlog++.
by David Vernon - Prentice Hall
This book is a comprehensive introduction to machine vision, it will allow the reader to quickly comprehend the essentials of this topic. Emphasis is on a range of the tools and techniques for image acquisition, processing, and analysis.
by Rustam Stolkin - InTech
This book reports recent advances in the use of pattern recognition techniques for computer and robot vision. The areas of low level vision such as segmentation, edge detection, and region identification, are the focus of this book.