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
No
paper
Scientifica
tri-dimensional face, face detection and localization
English
Conference on Internet Imaging VI JAN 18-20
0-8194-5643-8
Schettini, R., Cusano, C., & Colombo, A. (2005). Tri-dimensional face detection and localization. In Internet Imaging VI (pp.68-75) [10.1117/12.590483].
Schettini, R; Cusano, C; Colombo, A
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/13986
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