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A Pre-filter Enabling Fast Frontal Face Detection

By Stephen C.Y. Chan and Paul H. Lewis

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 con rm the normalised face candidates. 1 Introduction Detecting the presence of human faces can provide important cues for many image and video analysis tasks[1]. We are interested in enhancing multimedia tasks, in particular content-based video browsing, retrieval and navigation but face detection and location is also used as a pre-requiste for face analysis tasks such as recognition and expression interpretation. It is non-trivial i..

Publisher: Springer-Verlag
Year: 1999
OAI identifier: oai:CiteSeerX.psu:10.1.1.32.5247
Provided by: CiteSeerX
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