3D face detection using curvature analysis

✍ Scribed by Alessandro Colombo; Claudio Cusano; Raimondo Schettini

• Book ID: 104077137
• Publisher: Elsevier Science
• Year: 2006
• Tongue: English
• Weight: 765 KB
• Volume: 39
• Category: Article
• ISSN: 0031-3203
• DOI: 10.1016/j.patcog.2005.09.009

✦ Synopsis

Face detection is a crucial preliminary in many applications. Most of the approaches to face detection have focused on the use of twodimensional images. We present an innovative method that combines a feature-based approach with a holistic one for three-dimensional (3D) face detection. Salient face features, such as the eyes and nose, are detected through an analysis of the curvature of the surface. 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.