Face Detection Using Improved LBP under Bayesian Framework

Authors:
Hongliang Jin;Qingshan Liu;Hanqing Lu;Xiaofeng Tong
Affiliations:
Chinese Academy of Sciences;Chinese Academy of Sciences;Chinese Academy of Sciences;Chinese Academy of Sciences
Venue:
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
Year:
2004

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Abstract

In this paper, we present a novel face detection approach using Improved Local Binary Patterns (ILBP) as facial representation. ILBP feature is an improvement of LBP feature that considers both local shape and texture information instead of raw grayscale information and it is robust to illumination variation. We model the face and non-face class using multivariable Gaussian Model and classify them under Bayesian framework. Extensive experiments show that the proposed method has an encouraging performance.