Sciweavers

Share
PR
2006

3D face detection using curvature analysis

8 years 10 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
Comments (0)
books