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  1. Frame-based face emotion recognition using linear discriminant analysis
Frame-based face emotion recognition using linear discriminant analysis
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Frame-based face emotion recognition using linear discriminant analysis

Otroshi Shahreza, H

Frame-based face emotion recognition using linear discriminant analysis

Otroshi Shahreza, H ; Sharif University of Technology | 2018

685 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/ICSPIS.2017.8311605
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2018
  4. Abstract:
  5. In this paper, a frame-based method with reference frame was proposed to recognize six basic facial emotions (anger, disgust, fear, happy, sadness and surprise) and also neutral face. By using face landmarks, a fast algorithm was used to calculate an appropriate descriptor for each frame. Furthermore, Linear Discriminant Analysis (LDA) was used to reduce the dimension of defined descriptors and to classify them. The LDA problem was solved using the least squares solution and Ledoit-Wolf lemma. The proposed method was also compared with some studies on CK+ dataset which has the best accuracy among them. To generalize the proposed method over CK+ dataset, a landmark detector was needed. Therefore, dlib library was used for this purpose. Note that all the codes are available online at: http://ee.sharif.edu/∼hatef.otroshi/Emotion- Recognition-LDA-2017.html. © 2017 IEEE
  6. Keywords:
  7. Frame-based ; Landmark ; Linear discriminant analysis (LDA) ; Discriminant analysis ; Intelligent systems ; Speech recognition ; Face emotion recognition ; Facial emotions ; Least squares solutions ; Linear discriminant analysis ; Reference frame ; Face recognition
  8. Source: 3rd Iranian Conference on Signal Processing and Intelligent Systems, ICSPIS 2017, 20 December 2017 through 21 December 2017 ; Volume 2017-December , December , 2018 , Pages 141-146 ; 9781538649725 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/8311605