PrimeEye: A Real-Time Face Detection and Recognition System Robust to Illumination Changes

Authors:
Jongmoo Choi;Sanghoon Lee;Chilgee Lee;Juneho Yi
Affiliations:
-;-;-;-
Venue:
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Year:
2001

Citing 4
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Abstract

This research features a real-time face detection and recognition system named PrimeEye. The purpose of the system is for access control to a building or an office. The main feature of the system is face detection and face recognition robust to illumination changes. A simple adaptive thresholding technique for skin color segmentation is employed to achieve robust face detection. The system is also capable of operating in two different modes for face recognition: under normal illumination condition and under severe illumination changes. The experimental results show that the SKKUfaces method is better than the Fisherfaces method in the case of severe illumination changes. In the normal illumination condition, the Fisherfaces method is better than the SKKUfaces method.