Compression for 3D face recognition applications

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 reconstructio...

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Bibliographic Details
Main Authors: Granai, L., Hamouz, M., Tena, J.R., Vlachos, T.
Format: Conference Proceeding
Language:English
Subjects:
Compression algorithms
Face detection
Face recognition
Humans
Performance analysis
Shape
Signal processing algorithms
Speech processing
Surface fitting
Testing
Online Access:Request full text
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Summary: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.
DOI:10.1109/AVSS.2007.4425282