Gabor and HOG approach to facial emotion recognition

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Abstract

Automated facial emotion recognition is an essential step for proper Human-Machine Interaction (HMI) since much of human-human interaction occurs outside of our speech and tone of voice. While other papers have tried singular approaches to this problem, we explore a combination of Gabor and Histogram of Oriented Gradients (HOG) to accurately recognise emotion from still images. This novel method has out-achieved many competing Gabor alone and HOG alone methods with future work aiming to explore larger databases and classifiers.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherNational University of Ireland
Number of pages8
Publication statusAccepted/In press - 30 Jun 2017
EventIrish Machine Vision and Image Processing - Maynooth, Ireland
Duration: 30 Jun 2017 → …

Conference

ConferenceIrish Machine Vision and Image Processing
Period30/06/17 → …

Keywords

  • Emotion Recognition
  • Gabor
  • HOG
  • Neural Network
  • SVM

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  • Cite this

    Melaugh, R., Siddique, NH., Coleman, SA., & Yogarajah, P. (Accepted/In press). Gabor and HOG approach to facial emotion recognition. In Unknown Host Publication National University of Ireland.