Abstract
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.
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© 2006 Springer-Verlag Berlin Heidelberg
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Sadeghi, M.T., Kittler, J. (2006). Confidence Based Gating of Multiple Face Authentication Experts. In: Yeung, DY., Kwok, J.T., Fred, A., Roli, F., de Ridder, D. (eds) Structural, Syntactic, and Statistical Pattern Recognition. SSPR /SPR 2006. Lecture Notes in Computer Science, vol 4109. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11815921_73
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DOI: https://doi.org/10.1007/11815921_73
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37236-3
Online ISBN: 978-3-540-37241-7
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