Robust face recognition using 2D and 3D data: Pose and illumination compensation

  • Authors:
  • Sotiris Malassiotis;Michael G. Strintzis

  • Affiliations:
  • Informatics & Telematics Institute, 1st Km Thermi-Panorama Rd. 57001 Thessaloniki, Greece;Informatics & Telematics Institute, 1st Km Thermi-Panorama Rd. 57001 Thessaloniki, Greece

  • Venue:
  • Pattern Recognition
  • Year:
  • 2005

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Abstract

The paper addresses the problem of face recognition under varying pose and illumination. Robustness to appearance variations is achieved not only by using a combination of a 2D color and a 3D image of the face, but mainly by using face geometry information to cope with pose and illumination variations that inhibit the performance of 2D face recognition. A face normalization approach is proposed, which unlike state-of-the-art techniques is computationally efficient and does not require an extended training set. Experimental results on a large data set show that template-based face recognition performance is significantly benefited from the application of the proposed normalization algorithms prior to classification.