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3D face recognition with local binary patterns

 
: Zhou, Xuebing; Araujo Sanchez, Silvia; Kuijper, Arjan

:

Echizen, Isao (Ed.); Pan, Jeng-Shyang (Ed.); Fellner, Dieter W. (Ed.); Nouak, Alexander (Ed.); Kuijper, Arjan (Ed.); Jain, Lakhmi C. (Ed.):
Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2010. Proceedings : 15-17 Oct. 2010, Darmstadt, Germany
Los Alamitos/Calif.: IEEE Computer Society, 2010
ISBN: 978-0-7695-4222-5
ISBN: 978-1-4244-8378-5
S.329-332
International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP) <6, 2010, Darmstadt>
Englisch
Konferenzbeitrag
Fraunhofer IGD ()
biometric; 3D face recognition; pattern recognition

Abstract
Human faces are one of the most important and most popular biometric modalities to recognize individuals in a broad range of applications. So far, Local Binary Patterns have been applied to face recognition based on 2D illumination images and near infrared images, showing good robustness, discriminative ability and computational efficiency. In this paper, this method is extended to 3D face images. We investigate the influence of several parameters of this method and show improvements in the recognition rates, proving that this new method is a very promising approach for 3D face recognition.

: http://publica.fraunhofer.de/dokumente/N-151025.html