Compression for 3D face recognition applications

  • Authors:

  • Lorenzo Granai;Miroslav Hamouz;Jose R. Tena;Theodore Vlachos

  • Affiliations:

  • Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, GU2 7XH, UK;Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, GU2 7XH, UK;Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, GU2 7XH, UK;Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, GU2 7XH, UK

  • Venue:
  • AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
  • Year:
  • 2007

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Abstract

This paper proposes a novel 3D lossy compression algorithm tailored for 3D faces. We analyse the effects of compression on the face verification rate and measure recognition performances on the Face Recognition Grand Challenge database. Whilst preserving the spatial resolution enabling reconstruction of surface details, the proposed scheme achieves substantial compression to the extent that personal 3D biometric data could fit on a 2D barcode.