Deep Convolutional Neural Networks for Facial Expression Recognition

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1、DeepConvolutionalNeuralNetworksforFacialExpressionRecognitionAyşegülUçarDepartmentofMechatronicEngineeringFıratUniversityElazığ,Turkeyagulucar@firat.edu.trAbstract—Facialexpressionrecognitionisaveryactivemethodstosetfacialinvariancepoints,whichprovidesafewresearchtopicduetoitspotentialapplica

2、tionsinthemanyfieldsdifficultatreallifeapplications.suchashuman-robotinteraction,human-machineinterfaces,Appearance-basedmethodsusethefeaturesextracteddrivingsafety,andhealth-care.Despiteofthesignificantdirectlyfromtheimagesbutdoesnotincludeaninformationimprovements,facialexpressionrecognitio

3、nisstillachallengingrelatingtothefacialpoints.TherearealotofAppearance-problemthatwaitformoreandmoreaccuratealgorithms.Thisbasedmethods.ThemostimportantonesareLocalBinaryarticlepresentsanewmodelthatiscapableofrecognizingfacialexpressionbyusingdeepConvolutionalNeuralNetwork(CNN).Pattern(LBP)[1

4、8],GaborWavelets[19],LocalGaborBinaryTheCNNmodelisgeneratedbyusingCaffeinDigitsPatterns(LGBP)[20-21],ScaleInvariantFeatureTransformenvironment.Moreover,itistrainedandtestedonNVIDIA(SIFT)[22],HistogramofOrientedGradient(HOG)[23],andTegraTX1embeddeddevelopmentplatformincludinga250CurveletTransf

5、orm[23].FacialexpressionsmakethecertainGraphicsProcessingUnit(GPU)CUDAcoresandQuadcoreregionsoffacechange,whichcausesinterestinjusttheARMCortexA57processor.Theproposedmodelisappliedtospecialregions.In[24-26],thesalientfeatureswereextractedaddressthefacialexpressionproblemonthepubliclyavailabl

6、efromlocalpatches.twoexpressiondatabases,theJAFFEdatabaseandtheCohn-FacialexpressionrecognitionproblemconstructsaKanadedatabase.classificationalgorithmtoseparateemotionsintotheclassesKeywords—ConvolutionalNeuralNetworks;DeepLearning,suchassadness,surprise,anger,happiness,fear,disgust,andEmbed

7、dedDeveloplementPlatformwithGPU.neutralitybyusingtheextractedfeatures.Intheliterature,itwasobtainedpromisingresultsbyusingArtificialNeuralI.INTRODUCTIONNetworks(ANNs)[27],SupportVectorMachines,(SVMs)[28],SphericalClassifiers[29],HiddenMarkovM