DocumentCode :
2700429
Title :
Compression for 3D face recognition applications
Author :
Granai, Lorenzo ; Hamouz, Miroslav ; Tena, Jose R. ; Vlachos, Theodore
Author_Institution :
Surrey Univ., Guildford
fYear :
2007
fDate :
5-7 Sept. 2007
Firstpage :
33
Lastpage :
38
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.
Keywords :
biometrics (access control); face recognition; image coding; image reconstruction; face recognition grand challenge database; face verification; image compression; image reconstruction; lossy compression algorithm; spatial resolution; three-dimensional biometrics; three-dimensional face recognition; two-dimensional barcode; Compression algorithms; Face detection; Face recognition; Humans; Performance analysis; Shape; Signal processing algorithms; Speech processing; Surface fitting; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Video and Signal Based Surveillance, 2007. AVSS 2007. IEEE Conference on
Conference_Location :
London
Print_ISBN :
978-1-4244-1696-7
Electronic_ISBN :
978-1-4244-1696-7
Type :
conf
DOI :
10.1109/AVSS.2007.4425282
Filename :
4425282
Link To Document :
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