Facial expression recognition on partial facial sections

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12 Citations (Scopus)
179 Downloads (Pure)

Abstract

Research by psychologists have shown that subjects had a preference for a side of a face when it was expressing emotions. This paper seeks to find what accuracies can be attained when only a segment of the face is considered. We show that using one side of the face only reduces accuracy by 0.34% but at half the computationally time required. Various other sections of the face are evaluated for similar performance. We demonstrate that using smaller portions of the face have an expected computation reduction but dont suffer the same degree of accuracy loss. For evaluating we train with a Convolutional Neural Network. To test what portions of a facial image are useful, the full face, half face, eyes, single eye, mouth and half of the mouth are chosen. These images come from the JAFFE, CK+ and KDEF datasets.

Original languageEnglish
Title of host publicationISPA 2019 - 11th International Symposium on Image and Signal Processing and Analysis
EditorsSven Loncaric, Robert Bregovic, Marco Carli, Marko Subasic
PublisherIEEE Computer Society
Pages193-197
Number of pages5
ISBN (Electronic)9781728131405
DOIs
Publication statusPublished (in print/issue) - 17 Oct 2019
Event11th International Symposium on Image and Signal Processing and Analysis, ISPA 2019 - Dubrovnik, Croatia
Duration: 23 Sept 201925 Sept 2019

Publication series

NameInternational Symposium on Image and Signal Processing and Analysis, ISPA
Volume2019-September
ISSN (Print)1845-5921
ISSN (Electronic)1849-2266

Conference

Conference11th International Symposium on Image and Signal Processing and Analysis, ISPA 2019
Country/TerritoryCroatia
CityDubrovnik
Period23/09/1925/09/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.

Keywords

  • CNN
  • Facial Expression Recognition
  • Hemisphere differences
  • Image Processing
  • Neural Network
  • Occlusion

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