Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Pattern recognition: statistical, structural and neural approaches
Pattern recognition: statistical, structural and neural approaches
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Fast and Accurate Face Detector Based on Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Person Authentication Using Brainwaves (EEG) and Maximum A Posteriori Model Adaptation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parts-Based Face Verification Using Local Frequency Bands
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
On the vulnerability of face verification systems to hill-climbing attacks
Pattern Recognition
A novel statistical generative model dedicated to face recognition
Image and Vision Computing
Secure human face authentication for mobile e-government transactions
International Journal of Mobile Communications
Face verification competition on the XM2VTS database
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
An evaluation of video-to-video face verification
IEEE Transactions on Information Forensics and Security
On the results of the first mobile biometry (MOBIO) face and speaker verification evaluation
ICPR'10 Proceedings of the 20th International conference on Recognizing patterns in signals, speech, images, and videos
Face verification using adapted generative models
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Face authentication using adapted local binary pattern histograms
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
An automatic feature based face authentication system,
WIRN'05 Proceedings of the 16th Italian conference on Neural Nets
A score-level fusion benchmark database for biometric authentication
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Audio-Visual processing in meetings: seven questions and current AMI answers
MLMI'06 Proceedings of the Third international conference on Machine Learning for Multimodal Interaction
Face authentication with salient local features and static Bayesian network
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
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We compare two classifier approaches, namely classifiers based on Multi Layer Perceptrons (MLPs) and Gaussian Mixture Models (GMMs), for use in a face verification system. The comparison is carried out in terms of performance, robustness and practicability. Apart from structural differences, the two approaches use different training criteria; the MLP approach uses a discriminative criterion, while the GMM approach uses a combination of Maximum Likelihood (ML) and Maximum a Posteriori (MAP) criteria. Experiments on the XM2VTS database show that for low resolution faces the MLP approach has slightly lower error rates than the GMM approach; however, the GMM approach easily outperforms the MLP approach for high resolution faces and is significantly more robust to imperfectly located faces. The experiments also show that the computational requirements of the GMM approach can be significantly smaller than the MLP approach at a cost of small loss of performance.