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Title: histogram using face recognition explanation in ppt
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Title: Face recognition using laplaction face at java
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Face recognition using laplaction face at java

The face recognition is a fairly controversial subject right now. A system such as this can recognize and track dangerous criminals and terrorists in a crowd, but some contend that it is an extreme invasion of privacy. The proponents of large-scale face recognition feel that it is a necessary evil to make our country safer. It could benefit the visually impaired and allow them to interact more easily with the environment. Also, a computer vision-based authentication system could be pu ....etc

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Title: 3 d face recognition in mobile
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Title: Rules of Designing Routing Metrics for Greedy Face and Combined Greedy-Face Routing
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Created at: Friday 29th of October 2010 07:00:50 PM
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Rules of Designing Routing Metrics for Greedy,
Face, and Combined Greedy-Face Routing

Yujun Li, Yaling Yang, and Xianliang Lu




Abstract—


Different geographic routing protocols have different requirements on routing metric designs to ensure proper operation.
Combining a wrong type of routing metrics with a geographic routing protocol may produce unexpected results, such as geographic
routing loops and unreachable nodes. In this paper, we propose a novel routing algebra system to investigate t ....etc

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Title: 3d face recognition in mobile phone
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Posted By: dafy
Created at: Tuesday 08th of November 2011 08:23:08 PM
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Hi

My final project about doing 3d face recognition in mobile phone to find and report missing children

what programming language you suggest ? and what operating system in mobile is the most popular and easiest one ?

and any one have helpful information please help me . ....etc

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Title: face recognition using laplacianfaces java ppt
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Created at: Wednesday 28th of November 2012 06:09:24 PM
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Title: prisoners face recognition system ppt
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Created at: Tuesday 23rd of October 2012 02:45:45 PM
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Title: HIGH-SPEED FACE RECOGNITION ppt
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Posted By: seminar surveyer
Created at: Monday 24th of January 2011 04:59:50 PM
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A.MURALI KRISHNA

CONTENTS

Abstract
Introduction
Feature extraction
Classification using RBF neural networks
Conclusion

INTRODUCTION

Human face recognition has become a very active research area in recent years mainly due to increasing security demands and its potential commercial and law enforcement applications.

FEATURE EXTRACTION

DCT (discrete cosine transform)
CLUSTERING
FLD (fisher’s linear discriminant)

FLD
In ord ....etc

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