Paper
30 May 2000 Real-time face recognition using eigenfaces
Raphael Cendrillon, Brian Lovell
Author Affiliations +
Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386642
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia
Abstract
In recent years considerable progress has been made in the area of face recognition. Through the development of techniques like eigenfaces, computers can now compte favorably with humans in many face recognition tasks, particularly those in which large databases of faces must be searched. Whilst these methods perform extremely well under constrained conditions, the problem of face recognition under gross variations in expression, view, and lighting remains largely unsolved. This paper details the design of a real-time face recognition system aimed at operating in less constrained environments. The system is capable of single scale recognition with an accuracy of 94% at 2 frames-per- second. A description of the system's performance and the issues and problems faced during it's development is given.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Raphael Cendrillon and Brian Lovell "Real-time face recognition using eigenfaces", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); https://doi.org/10.1117/12.386642
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CITATIONS
Cited by 28 scholarly publications and 1 patent.
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KEYWORDS
Facial recognition systems

Light sources and illumination

Databases

Image segmentation

Linear filtering

Convolution

Head

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