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  1. IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety (CIHSPS).
  2. 2006 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety
  3. Multi-Camera Face Recognition by Reliability-Based Selection
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2006 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety
Proceedings of the 2006 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety
Copyright page
Message from the Chairmen
CIHSPS 2006 Conference Committee
CIHSPS Steering Committee
IEEE Computational Intelligence Society Technical Committee on Intelligent Systems Applications Working Group on Homeland Security and Personal Safety
Table of contents
Author index
Computational intelligence in cyber security
Software Supported Pattern Development in Intelligence Analysis
Semantic Framework for Biometric-Based Access Control Systems
Multi-Camera Face Recognition by Reliability-Based Selection
Face Recognition with Multiscale Data Fusion of Visible and Thermal Images
Face Recognition across Poses Utilizing Feature Transformation
Iris Recognition: Measuring Feature's Quality for the Feature Selection in Unconstrained Image Capture Environments
Personal identification and verification using multimodal biometric data
TeraHertz Time-Domain Spectroscopy for Explosive Trace Detection
An Autonomous Spherical Robot for Security Tasks
Autonomous Rail Track Inspection using Vision Based System
Proposal for a New Home Security System in terms of User-friendliness and Prompt Intrusion Notification
CIHSPS 2005. Proceedings of the 2005 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, 2005.
Proceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, 2004. CIHSPS 2004.

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Multi-Camera Face Recognition by Reliability-Based Selection

Content Provider IEEE Xplore Digital Library
Author Binglong Xie Boult, T. Ramesh, V. Ying Zhu
Copyright Year 2006
Description Author affiliation: Dept. of Real-Time Vision & Modeling, Siemens Corporate Res., Princeton, NJ (Binglong Xie)
Abstract Automatic face recognition has a lot of application areas and current single-camera face recognition has severe limitations when the subject is not cooperative, or there are pose changes and different illumination conditions. A face recognition system using multiple cameras overcomes these limitations. In each channel, real-time component-based face detection detects the face with moderate pose and illumination changes employing fusion of individual component detectors for eyes and mouth, and the normalized face is recognized using an LDA recognizer. A reliability measure is trained using the features extracted from both face detection and recognition processes, to evaluate the inherent quality of channel recognition. The recognition from the most reliable channel is selected as the final recognition results. The recognition rate is far better than that of either single channel, and consistently better than common classifier fusion rules
Starting Page 18
Ending Page 23
File Size 275038
Page Count 6
File Format PDF
ISBN 1424407443
DOI 10.1109/CIHSPS.2006.313294
Language English
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date 2006-10-16
Publisher Place USA
Access Restriction Subscribed
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword Face recognition Face detection Lighting Cameras Linear discriminant analysis Detectors Mouth Principal component analysis Road safety Eyes Reliability Measure Multi-Camera Face Recognition
Content Type Text
Resource Type Article
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