3D face detection using curvature analysis

  • Authors:
  • Alessandro Colombo;Claudio Cusano;Raimondo Schettini

  • Affiliations:
  • DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Universití degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy;DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Universití degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy;DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Universití degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy

  • Venue:
  • Pattern Recognition
  • Year:
  • 2006

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Abstract

Face detection is a crucial preliminary in many applications. Most of 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 (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.