3D Face recognition related with facial expressions based on MB-LBP method

  • N SAAD université de biskra
  • N DJEDI université de biskra

Résumé

ABSTRACT


3D Face Recognition is a promising alternative to solving problems of 2D recognition. Our proposed approach allows, increasing the performance of facial biometrics by offering a system of recognition of facial expressions with 3D image. This system uses a flow composed simultaneously of a color image (2D) and a depth image (3D) captured by the Microsoft Kinect sensor. Our system detects, and identifies the expression of the captured face; then recognize the seven expressions developed by Paul Ekman using the MB-LBP method. We have introduced a new dataset corresponding to 10 human subjects [23, 27] for learning step with a classification using SVM method. The implementation of our solution produces in C++ using the OpenCV library.


 


Keywords: Face recognition, facial expressions, Kinect, MB-LBP, SVM.

Publiée
2018-03-22
Comment citer
SAAD, N; DJEDI, N. 3D Face recognition related with facial expressions based on MB-LBP method. Courrier du Savoir, [S.l.], v. 25, p. 93-102, mars 2018. ISSN 1112-3338. Disponible à l'adresse : >http://revues.univ-biskra.dz/index.php/cds/article/view/3785>. Date de consultation : 20 avr. 2018