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2006

3D face detection using curvature analysis

13 years 3 months ago
3D face detection using curvature analysis
Face detection is a crucial preliminary in many applications. Most all the approaches to face detection have focused on the use of two-dimensional images. We present an innovative method that combines a feature-based approach with a holistic one for three-dimensional face detection. 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 processed by a PCA-based classifier trained to discriminate between faces and non-faces. The method has been tested, with good results, on some 150 3D faces acquired by a laser range scanner.
Alessandro Colombo, Claudio Cusano, Raimondo Schet
Added 14 Dec 2010
Updated 14 Dec 2010
Type Journal
Year 2006
Where PR
Authors Alessandro Colombo, Claudio Cusano, Raimondo Schettini
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