Facial Expression Recognition with Local Binary Pattern in Machine Learning :A Review
Keywords:
Facial expression, Expression-specific local binarypattern,Class-regularized locality preserving projection,Dimensionality reduction, Feature extractionAbstract
Automaticallyanalyzingfacialexpressionsisanintriguingandchallengingproblemwhichhassignificantapplications in numerous fields, including data-driven animationand human–computer interaction. An essential step in successfullyrecognizingfacialexpressionsisobtaininganaccuratefacialrepresentation from original face image. For person-independentfacial expression recognition, in this paper we have local feature-based facial representation and local binary patterns(LBP) techniques. On a number of databases, comprehensive analysis hasbeen presented on various machine-learning techniques for facialrecognition.LBPFeatureextractiontechniquehasbeendemonstrated to recognize facial expressions.Further, to extractthe most discriminating localbinary pattern features a boosted-LBP feature with support vector machine classifiers has been suggested which result sin best face recognition performance accuracy.Additionally,we have describedthe investigations oflow-resolution facial expression recognition withLBP feature extraction which is a crucial issue which have not received earlier consideration.
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