Detection of Face Expression Based on Deep Learning

딥러닝 기반의 얼굴영상에서 표정 검출에 관한 연구

  • Won, Chulho (Dept. of Bio-Medical Eng., Gyungil University) ;
  • Lee, Bub-ki (Korea Technology Finance Corporation)
  • Received : 2018.07.13
  • Accepted : 2018.07.24
  • Published : 2018.08.31


Recently, researches using LBP and SVM have been performed as one of the image - based methods for facial emotion recognition. LBP, introduced by Ojala et al., is widely used in the field of image recognition due to its high discrimination of objects, robustness to illumination change, and simple operation. In addition, CS(Center-Symmetric)-LBP was used as a modified form of LBP, which is widely used for face recognition. In this paper, we propose a method to detect four facial expressions such as expressionless, happiness, surprise, and anger using deep neural network. The validity of the proposed method is verified using accuracy. Based on the existing LBP feature parameters, it was confirmed that the method using the deep neural network is superior to the method using the Adaboost and SVM classifier.



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