Illumination and Expression Invariant Face Recognition: Toward Sample Quality-based Adaptive Fusion

Sellahewa, Harin and Jassim, Sabah A. (2008) Illumination and Expression Invariant Face Recognition: Toward Sample Quality-based Adaptive Fusion. In: BTAS 2008 - IEEE 2nd International Conference on Biometrics: Theory, Applications and Systems, 29 Sep - 1 Oct 2008, Arlington, VA; United States.


Download (641kB) | Preview
Official URL:


The performance of face recognition schemes is adversely affected as a result of significant to moderate variation in illumination, pose, and facial expressions. Most existing approaches to face recognition tend to deal with one of these problems by controlling the other conditions. Beside strong efficiency requirements, face recognition systems on constrained mobile devices and PDA's are expected to be robust against all variations in recording conditions that arise naturally as a result of the way such devices are used. Wavelet-based face recognition schemes have been shown to meet well the efficiency requirements. Wavelet transforms decompose face images into different frequency subbands at different scales, each giving rise to different representation of the face, and thereby providing the ingredients for a multi-stream approach to face recognition which stand a real chance of achieving acceptable level of robustness. This paper is concerned with the best fusion strategy for a multi-stream face recognition scheme. By investigating the robustness of different wavelet subbands against variation in lighting conditions and expressions, we shall demonstrate the shortcomings of current non-adaptive fusion strategies and argue for the need to develop an image quality based, intelligent, dynamic fusion strategy.

Item Type: Conference or Workshop Item (Poster)
Additional Information: © © 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords: Human face recognition (Computer science); Wavelets (Mathematics)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: School of Computing
Depositing User: Harin Sellahewa
Date Deposited: 10 Aug 2015 11:35
Last Modified: 07 Jun 2016 11:01

Actions (login required)

View Item View Item