Introduction to Bayesian Networks
Introduction to Bayesian Networks
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparison of Face Verification Results on the XM2VTS Database
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Multimodal Biometric Authentication Using Quality Signals in Mobile Communications
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
Local Binary Patterns as an Image Preprocessing for Face Authentication
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Quality-based Score Level Fusion in Multibiometric Systems
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
An image preprocessing algorithm for illumination invariant face recognition
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
A principled approach to score level fusion in multimodal biometric systems
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
User authentication via adapted statistical models of face images
IEEE Transactions on Signal Processing
On Quality of Quality Measures for Classification
Biometrics and Identity Management
Nineteen Urgent Research Topics in Biometrics and Identity Management
Biometrics and Identity Management
Challenges and Research Directions for Adaptive Biometric Recognition Systems
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Benchmarking quality-dependent and cost-sensitive score-level multimodal biometric fusion algorithms
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on recent advances in biometrics
An evaluation of video-to-video face verification
IEEE Transactions on Information Forensics and Security
Improving classification with class-independent quality measures: Q-stack in face verification
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
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Face as a biometric is known to be sensitive to different factors, e.g., illumination condition and pose. The resultant degradation in face image quality affects the system performance. To counteract this problem, we investigate the merit of combining a set of face verification systems incorporating image-related quality measures. We propose a fusion paradigm where the quality measures are quantised into a finite set of discrete quality states, e.g., "good illumination vs. "bad illumination". For each quality state, we design a fusion classifier. The outputs of these fusion classifiers are then combined by a weighted averaging controlled by the a posteriori probability of a quality state given the observed quality measures. The use of quality states in fusion is compared to the direct use of quality measures where the density of scores and quality are jointly estimated. There are two advantages of using quality states. Firstly, much less training data is needed in the former since the relationship between base classifier output scores and quality measures is not learnt jointly but separately via the conditioning quality states. Secondly, the number of quality states provides an explicit control over the complexity of the resulting fusion classifier. In all our experiments involving XM2VTS well illuminated and dark face data sets, there is a systematic improvement in performance over the baseline method (without using quality information) and the direct use of quality in two types of applications: as a quality-dependent score normalisation procedure and as a quality-dependent fusion method (involving several systems).