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