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Local binary pattern and its variants: application to face analysis

Abstract : Local Binary Pattern is a descriptor whose purpose is to summarize the local structure of the images. The goal is to be able to discriminate different images. This method has gone through a large number of changes and adjustments in different types of applications. This paper reviews various LBP methods for facial expression analysis and proposes a new set of variants. Firstly, the principle of LBP is presented and the main variants for face recognition and facial expression analysis are described. Then, new variants are proposed and finally, a comparison of the peoposed variants and the refered existing ones is made and analyzed through experiments conducted on facial recognition databases YaleB and ORL, and on facial expressions recognition database JAFFE.
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-02924534
Contributor : Kidiyo Kpalma <>
Submitted on : Friday, August 28, 2020 - 10:38:11 AM
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Jade Lizé, Vincent Débordès, Hua Lu, Kidiyo Kpalma, Joseph Ronsin. Local binary pattern and its variants: application to face analysis. Advances in Smart Technologies: Applications and Case Studies - Selected Papers from the First International Conference on Smart Information and Communication Technologies, SmartICT 2019, September 26-28, 2019, Saidia, Morocco, pp.94-102, 2020, ⟨10.1007/978-3-030-53187-4_11⟩. ⟨hal-02924534⟩

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