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Face Detection and Location Analysis

 
 
Face Detection and Location Analysis
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Face Detection and Location Analysis

This book discusses the use of image based neural networks for detecting and locating faces in colour images with complex backgrounds. This book is intended to act as an introduction to the area of face detection and as useful information about the best techniques used to develop a system that can duplicate human vision and how systems in general are implemented at present to find a face in an image. We believe that undergraduate University students seeking to work on a similar project for coursework or perhaps a final year dissertation may find this book useful. An image based neural network technique along with relevant code is presented in this book to demonstrate the implementation of a face detection algorithm. This face detection algorithm employs a normalisation routine to be used on training and test images and a bootstrapping algorithm to aid in the machine learning process.

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IP-9781594576683

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Product Details:
Author: Kevin Curran
Paperback: 82 pages
Publisher: BookSurge Publishing
Publication Date: June 14, 2005
Language: English
ISBN: 1594576688
Product Length: 6.0 inches
Product Width: 9.02 inches
Product Height: 0.17 inches
Product Weight: 0.27 pounds
Package Length: 8.7 inches
Package Width: 5.8 inches
Package Height: 0.4 inches
Package Weight: 0.35 pounds
Average Customer Rating: based on 1 reviews
 
 

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Average Customer Review:4.0 ( 1 customer reviews )
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4work in progress  Aug 06, 2005
By W Boudville
An ultra-specialised book. But on a topic that is clearly of use, if it can be made to work effectively. The general problem of face detection via any automated means is crucial in various mooted anti-terror methods. That might use, for example, many cameras around a city centre or subway for automated surveillance and comparison to a set of images.

The usage of neural nets for this still needs improving. Perhaps the book can help you contribute to those improvements?

 
 
 
 
 
 
 
 
 
 
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