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This paper presents a novel and efficient facial image representation based on local binary pattern (LBP) texture features. The face image is divided into several regions from which the LBP feature distributions are extracted and concatenated into an enhanced feature vector to be used as a face descriptor. The performance of the proposed method is assessed in the face recognition problem under different challenges. Other applications and several extensions are also discussed.
Facial image representation, local binary pattern, component-based face recognition, texture features, face misalignment.
Abdenour Hadid, Timo Ahonen, Matti Pietik?inen, "Face Description with Local Binary Patterns: Application to Face Recognition", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 28, no. , pp. 2037-2041, December 2006, doi:10.1109/TPAMI.2006.244
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