Confidence Based Gating of Multiple Face Authentication Experts
We address the problem of fusing experts employing diverse similarity measures in LDA face space. The gradient direction measure is reviewed and experimentally compared with the normalised correlation in two different conditions, when the face images are well registered and when the registration process is performed automatically. We show that by combining the gradient direction measure and normalised correlation using a confidence based gating, the resulting decision making scheme consistently outperforms the best method. The gating is based on a novel decision confidence measure proposed in the paper.
KeywordsLinear Discriminant Analysis Face Image Normalise Correlation Gradient Direction False Acceptance Rate
Unable to display preview. Download preview PDF.
- 3.Kittler, J., Li, Y.P., Matas, J.: On matching scores for LDA-based face verification. In: Mirmehdi, M., Thomas, B. (eds.) Proceedings of British Machine Vision Conference 2000, pp. 42–51 (2000)Google Scholar
- 4.Kittler, J., Sadeghi, M.: Approximate gradient direction metric for face authentication. In: Joint IAPR International Workshops on Syntactical and Structural Pattern Recognition and Statistical Pattern Recognition, S+SSPR 2004, Lisbon, Portugal, August 18-20, pp. 797–805 (2004)Google Scholar
- 5.Sadeghi, M., Kittler, J.: Decision making in the LDA space: Generalised gradient direction metric. In: The 6th International Conference on Automatic Face and Gesture Recognition, Seoul, Korea, pp. 248–253 (May 2004)Google Scholar