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Proceedings Paper

Tri-dimensional face detection and localization
Author(s): Alessandro Colombo; Claudio Cusano; Raimondo Schettini
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Paper Abstract

This paper presents an innovative method that combines a feature-based approach with a holistic approach for tri-dimensional 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.

Paper Details

Date Published: 17 January 2005
PDF: 8 pages
Proc. SPIE 5670, Internet Imaging VI, (17 January 2005); doi: 10.1117/12.590483
Show Author Affiliations
Alessandro Colombo, DISCo/Univ. degli di Studi Milano-Bicocca (Italy)
Claudio Cusano, DISCo/Univ. degli di Studi Milano-Bicocca (Italy)
Raimondo Schettini, DISCo/Univ. degli di Studi Milano-Bicocca (Italy)


Published in SPIE Proceedings Vol. 5670:
Internet Imaging VI
Simone Santini; Raimondo Schettini; Theo Gevers, Editor(s)

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