Abstract
In this paper, we present a face location system in a complex background and robust to a wide range of lighting conditions, likely to appear in an indoor environment. The complete system contains two parts: the face locator and the face tracker. We will only describe the face locator. Face hypothesis are obtained combining a pyramidal greylevel template matching and a geometrical measure based on the facial feature organization. Classification to face or non-face is realized by linear discriminant analysis (LDA) on the principal components analysis (PCA) of a 26-dimensional feature vector extracted from the face hypothesis. Experiments on 1500 images in a cluttered background with 12 lighting conditions are very encouraging.
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© 2001 Springer-Verlag Berlin Heidelberg
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Mariani, R. (2001). A Face Location Algorithm Robust to Complex Lighting Conditions. In: Bigun, J., Smeraldi, F. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2001. Lecture Notes in Computer Science, vol 2091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45344-X_18
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DOI: https://doi.org/10.1007/3-540-45344-X_18
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42216-7
Online ISBN: 978-3-540-45344-4
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