Existing techniques for facial feature point detection from color images include template matching, facial geometry and symmetry analysis, mathematical morphology, luminance and chrominance analysis, and PCA. However, these techniques are plagued by poor performance in the presence of scale variations. In this paper, a hybrid technique is proposed that employs a combination of the above approaches along with curvature analysis of the intensity surface of the face image in order to provide a superior performance with reduced computational complexity, even in the presence of scale variations.
A hybrid technique for facial feature point detection
2002-01-01
414442 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
A Hybrid Technique for Facial Feature Point Detection
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