This paper presents an innovative method that combines a feature-based approach with a holistic approach for tridimensional face detection and localization. Salient face features, such as the eyes and nose, are detected through an analysis of the curvature of the surface. In a second stage, each triplet consisting of a candidate nose and two candidate eyes is then processed by a PCA-based classifier, trained to discriminate between faces and non-faces. The method has been tested on about 150 3D faces acquired by a laser range scanner with good results
Schettini, R., Cusano, C., Colombo, A. (2005). Tri-dimensional face detection and localization. In Internet Imaging VI (pp.68-75) [10.1117/12.590483].
Tri-dimensional face detection and localization
SCHETTINI, RAIMONDO;CUSANO, CLAUDIO;COLOMBO, ALESSANDRO
2005
Abstract
This paper presents an innovative method that combines a feature-based approach with a holistic approach for tridimensional face detection and localization. Salient face features, such as the eyes and nose, are detected through an analysis of the curvature of the surface. In a second stage, each triplet consisting of a candidate nose and two candidate eyes is then processed by a PCA-based classifier, trained to discriminate between faces and non-faces. The method has been tested on about 150 3D faces acquired by a laser range scanner with good results
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