Twins 3D face recognition challenge

  • Authors:

  • Vipin Vijayan;Kevin W. Bowyer;Patrick J. Flynn;Di Huang;Liming Chen;Mark Hansen;Omar Ocegueda;Shishir K. Shah;Ioannis A. Kakadiaris

  • Affiliations:

  • Department of Computer Science and Engineering, University of Notre Dame. 384 Fitzpatrick Hall, IN 46556, USA;Department of Computer Science and Engineering, University of Notre Dame. 384 Fitzpatrick Hall, IN 46556, USA;Department of Computer Science and Engineering, University of Notre Dame. 384 Fitzpatrick Hall, IN 46556, USA;Université de Lyon, CNRS, Ecole Centrale Lyon, LIRIS UMR 5205, 69134, Ecully, France;Université de Lyon, CNRS, Ecole Centrale Lyon, LIRIS UMR 5205, 69134, Ecully, France;Machine Vision Lab, DuPont Building, Bristol Institute of Technology, University of the West of England, Frenchay Campus, Coldharbour Lane, BS16 1QY, UK;Computational Biomedicine Lab, Department of Computer Science, University of Houston, 4800 Calhoun Road, TX 77004, USA;Computational Biomedicine Lab, Department of Computer Science, University of Houston, 4800 Calhoun Road, TX 77004, USA;Computational Biomedicine Lab, Department of Computer Science, University of Houston, 4800 Calhoun Road, TX 77004, USA

  • Venue:
  • IJCB '11 Proceedings of the 2011 International Joint Conference on Biometrics
  • Year:
  • 2011

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Abstract

Existing 3D face recognition algorithms have achieved high enough performances against public datasets like FRGC v2, that it is difficult to achieve further significant increases in recognition performance. However, the 3D TEC dataset is a more challenging dataset which consists of 3D scans of 107 pairs of twins that were acquired in a single session, with each subject having a scan of a neutral expression and a smiling expression. The combination of factors related to the facial similarity of identical twins and the variation in facial expression makes this a challenging dataset. We conduct experiments using state of the art face recognition algorithms and present the results. Our results indicate that 3D face recognition of identical twins in the presence of varying facial expressions is far from a solved problem, but that good performance is possible.