Face Recognition in the Presence of Expression and/or Illumination Variation

Authors:
Harin Sellahewa;Sabah Jassim
Affiliations:
University of Buckingham;University of Buckingham
Venue:
AUTOID '05 Proceedings of the Fourth IEEE Workshop on Automatic Identification Advanced Technologies
Year:
2005

Citing 0
Cited 3

Recognizing faces under facial expression variations and partial occlusions

SIP'08 Proceedings of the 7th WSEAS International Conference on Signal Processing
Illumination Invariant Face Recognition under Various Facial Expressions and Occlusions

ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
Self-adaptive classifier fusion for expression-insensitive face recognition

KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

Face recognition is a technically difficult task that forms part of an ever-growing number of applications. The challenge becomes more complex by requirement of robustness against variation in facial expressions, pose and lighting condition. In this paper, we present a wavelet-based face recognition scheme and report on its performance on 2 databases. We shall also demonstrate that it is more robust against varying facial expressions than a known scheme that has been developed specifically for that purpose. We shall also report on the positive effect of a simple procedure to reduce the effect of variation in illumination level on accuracy, in contrast to Histogram Equalization.