Local binary patterns and its variants: application to face analysis
| Autor: | Lizé, Jade, Débordès, Vincent, Lu, Hua, Kpalma, Kidiyo, Ronsin, Joseph |
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| Přispěvatelé: | Institut d'Electronique et de Télécommunications de Rennes (IETR), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Normal University of Shandong |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | First international Conference on Smart Information & Communication Technologies (SmartICT’19) First international Conference on Smart Information & Communication Technologies (SmartICT’19), Sep 2019, Saidia, Morocco |
| Popis: | International audience; 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 those different images between them. This method has gone through a large number of changes and adjustments to improve in different types of applications. This paper reviews various LBP methods for facial expression analysis and proposes a new set of LBP descriptors. Firstly, the principle of LBP method will be presented and the main variants for face recognition and facial expression analysis will be described. Then, new LBP methods will be proposed. Finally, a comparison of these different methods will be made and analyzed through experiments conducted on facial recognition database YaleB+ and on facial expressions database JAFFE. |
| Databáze: | OpenAIRE |
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