17 January 2005 Tri-dimensional face detection and localization
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Proceedings Volume 5670, Internet Imaging VI; (2005); doi: 10.1117/12.590483
Event: Electronic Imaging 2005, 2005, San Jose, California, United States
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.
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Alessandro Colombo, Claudio Cusano, Raimondo Schettini, "Tri-dimensional face detection and localization", Proc. SPIE 5670, Internet Imaging VI, (17 January 2005); doi: 10.1117/12.590483; http://dx.doi.org/10.1117/12.590483
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KEYWORDS
Nose

Facial recognition systems

3D acquisition

Eye

3D modeling

Laser range finders

Lawrencium

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