Local Binary Patterns and Its Application to Facial Image Analysis: A Survey

Authors:
Di Huang;Caifeng Shan;Mohsen Ardabilian;Yunhong Wang;Liming Chen
Affiliations:
Université de Lyon, Laboratoire d’InfoRmatique en Image et Systèmes d’information, Centre National de Recherche Scientifique 5205, Ecole Centrale de Lyon, France;Philips Research , The Netherlands;Université de Lyon, Laboratoire d’InfoRmatique en Image et Systèmes d’information, Centre National de Recherche Scientifique 5205, Ecole Centrale de Lyon, France;Beijing Key Laboratory of Digital Media, State Key Laboratory of Virtual Reality Technology and Systems, and School of Computer Science and Engineering , Beihang University, China;Université de Lyon, Laboratoire d’InfoRmatique en Image et Systèmes d’information, Centre National de Recherche Scientifique 5205, Ecole Centrale de Lyon, France
Venue:
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Year:
2011

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Abstract

Local binary pattern (LBP) is a nonparametric descriptor, which efficiently summarizes the local structures of images. In recent years, it has aroused increasing interest in many areas of image processing and computer vision and has shown its effectiveness in a number of applications, in particular for facial image analysis, including tasks as diverse as face detection, face recognition, facial expression analysis, and demographic classification. This paper presents a comprehensive survey of LBP methodology, including several more recent variations. As a typical application of the LBP approach, LBP-based facial image analysis is extensively reviewed, while its successful extensions, which deal with various tasks of facial image analysis, are also highlighted.