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 Cesare Rossi - InTech
The book provides new ideas, original results and practical experiences regarding service robotics. It is only a small example of this research activity, but it covers a great deal of what has been done in the field recently.
by Asim Bhatti - InTech
The book comprehensively covers almost all aspects of stereo vision. In addition reader can find topics from defining knowledge gaps to the state of the art algorithms as well as current application trends of stereo vision.
by Rong-Fong Fung - InTech
This is a book about how to employ the vision theory in the market conditions for students or researchers who want to realize the technique of machine vision. The book consists of 10 chapters on different fields about vision applications.
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.