Face description with local binary patterns: Application to face recognition

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Face description with local binary patterns: Application to face recognition (2006)

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by Abdenour Hadid , Senior Member

Venue:	IEEE Trans. Pattern Analysis and Machine Intelligence
Citations:	526 - 27 self

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@ARTICLE{Hadid06facedescription,
    author = {Abdenour Hadid and Senior Member},
    title = {Face description with local binary patterns: Application to face recognition},
    journal = {IEEE Trans. Pattern Analysis and Machine Intelligence},
    year = {2006}
}

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Abstract

Abstract—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. Index Terms—Facial image representation, local binary pattern, component-based face recognition, texture features, face misalignment. Ç 1

Keyphrases

local binary pattern face recognition face description texture feature index term facial image representation face image face descriptor component-based face recognition efficient facial image representation face misalignment lbp feature distribution face recognition problem different challenge enhanced feature vector several region several extension

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