Texture features in facial image analysis

Authors:
Matti Pietikäinen;Abdenour Hadid
Affiliations:
Machine Vision Group, Infotech Oulu and Department of Electrical and Information Engineering, University of Oulu, Finland;Machine Vision Group, Infotech Oulu and Department of Electrical and Information Engineering, University of Oulu, Finland
Venue:
IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
Year:
2005

Citing 10
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Local multiple patterns based multiresolution gray-scale and rotation invariant texture classification

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Abstract

While features used for texture analysis have been successfully used in some biometric applications, only quite few works have considered them in facial image analysis. Texture-based region descriptors can be very useful in recognizing faces and facial expressions, detecting faces and different facial components, and in other face related tasks. This paper demonstrates this issue by considering the local binary pattern (LBP) as an example of texture-based approach and showing its efficiency in facial image analysis.