Shape analysis using generalized procrustes analysis on Active Appearance Model for facial expression recognition

Desy Komalasari, Muhammad Rahmat Widyanto, T. Basaruddin, Dewi Yanti Liliana

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Facial expression recognition is an active research area in the field of signal social processing. The goal is to distinguish human emotion. The problem is similar emotion, variation of emotion, and independent object through face image. The existing research using various method for modeling human facial to entirely describe facial expression through face image. We consider to variation analysis of the face image using Generalized Procrustes Analysis (GPA) method. GPA is implied for modeling variation of facial expression. We fit our GPA model exact the position of facial skeleton using Active Appearance Model (AAM). AAM is needed for extract shape feature of face image. Also, we use Gabor to get texture information of face image. The facial expression recognition method is based on Support Vector Machine (SVM). We tested our model with CK+ and Jaffe dataset on six basic emotion: Anger, disgust, fear, happy, sad, and surprise. Our method gained accuracy 93.58% for CK+ dataset and 94.7% for Jaffe dataset.

Original languageEnglish
Title of host publicationICECOS 2017 - Proceeding of 2017 International Conference on Electrical Engineering and Computer Science
Subtitle of host publicationSustaining the Cultural Heritage Toward the Smart Environment for Better Future
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages154-159
Number of pages6
ISBN (Electronic)9781479976751
DOIs
Publication statusPublished - 1 Jan 2017
Event2017 International Conference on Electrical Engineering and Computer Science, ICECOS 2017 - Palembang, Indonesia
Duration: 22 Aug 201723 Aug 2017

Publication series

NameICECOS 2017 - Proceeding of 2017 International Conference on Electrical Engineering and Computer Science: Sustaining the Cultural Heritage Toward the Smart Environment for Better Future

Conference

Conference2017 International Conference on Electrical Engineering and Computer Science, ICECOS 2017
Country/TerritoryIndonesia
CityPalembang
Period22/08/1723/08/17

Keywords

  • active appearance model
  • facial expression recognition
  • generalized procrustes analysis
  • support vector machine

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