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A Scalable Patch-Based Approach for RGB-D Face Recognition

  • Nesrine GratiEmail author
  • Achraf Ben-Hamadou
  • Mohamed Hammami
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9950)

Abstract

This paper presents a novel approach for face recognition using low cost RGB-D cameras under challenging conditions. In particular, the proposed approach is based on salient points to extract local patches independently to the face pose. The classification is performed using a scalable sparse representation classification by an adaptive and dynamic dictionaries selection. The experimental results proved that the proposed algorithm achieves significant accuracy on three different RGB-D databases and competes with known approaches in the literature.

Keywords

Face recognition RGB-D data Sparse representation classification Dynamic dictionary Kinect 

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Nesrine Grati
    • 1
    Email author
  • Achraf Ben-Hamadou
    • 2
  • Mohamed Hammami
    • 1
  1. 1.Multimedia InfoRmation Systems and Advanced Computing Laboratory (MIRACL)Sfax UniversitySfaxTunisia
  2. 2.Driving Assistance Research Center, Valeo VisionBobignyFrance

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