Influence of compression on 3D face recognition

Authors:
Lorenzo Granai;J. Rafael Tena;Miroslav Hamouz;Josef Kittler
Affiliations:
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU2 7XH, United Kingdom;Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU2 7XH, United Kingdom;Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU2 7XH, United Kingdom;Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU2 7XH, United Kingdom
Venue:
Pattern Recognition Letters
Year:
2009

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Abstract

This paper studies how the performance of a 3D face recognition system is affected by compression. A novel lossy compression technique tailored for registered 3D data along with a scheme for 3D face registration and recognition are presented and the results discussed. The proposed scheme achieves a significant compression ratio (factor of 35) without the loss of recognition performance.