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Face Description with Local Binary Patterns: Application to Face Recognition

T. Ahonen; Abdenour Hadid; Matti Pietikäinen · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2006

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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.

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APA 7

Ahonen, T, Hadid, A, & Pietikäinen, M. (2006). Face Description with Local Binary Patterns: Application to Face Recognition. https://doi.org/10.1109/tpami.2006.244

MLA

Ahonen, T, et al. "Face Description with Local Binary Patterns: Application to Face Recognition." 2006. https://doi.org/10.1109/tpami.2006.244.

Chicago

Ahonen, T, Abdenour Hadid, and Matti Pietikäinen. 2006. "Face Description with Local Binary Patterns: Application to Face Recognition.". https://doi.org/10.1109/tpami.2006.244.

Harvard

Ahonen, T, Hadid, A. and Pietikäinen, M. 2006, Face Description with Local Binary Patterns: Application to Face Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, available at: https://doi.org/10.1109/tpami.2006.244 [Accessed 7 Aug. 2026].

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Title
Face Description with Local Binary Patterns: Application to Face Recognition
Author / contributors
T. Ahonen; Abdenour Hadid; Matti Pietikäinen
Publisher
IEEE Transactions on Pattern Analysis and Machine Intelligence
Publication year
2006
Language
English

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