Abstract
We present a novel pre-filtering technique that identifies probable frontal illuminated face regions in colour images regardless of translation, orientation, and scale. The face candidate regions are normalised and provide the basis for face verification using published face detection algorithms. The technique focuses on a fast search strategy to locate potential eye-pairs in an image or video frame. The eye-pair candidates indicate areas that may contain faces. Scale and orientation is inferred from the eye-pairs, and a neural network is used to confirm the normalised face candidates.
Stephen Chan would like to acknowledge support from the EPSRC.
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© 1999 Springer-Verlag Berlin Heidelberg
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Chan, S.C.Y., Lewis, P.H. (1999). A Pre-filter Enabling Fast Frontal Face Detection. In: Huijsmans, D.P., Smeulders, A.W.M. (eds) Visual Information and Information Systems. VISUAL 1999. Lecture Notes in Computer Science, vol 1614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48762-X_96
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DOI: https://doi.org/10.1007/3-540-48762-X_96
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