Facial micro-expressions grand challenge 2018 summary

Moi Hoon Yap, John See, Xiaopeng Hong, Su-Jing Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

25 Citations (Scopus)

Abstract

This paper summarises the Facial Micro-Expression Grand Challenge (MEGC 2018) held in conjunction with the 13th IEEE Conference on Automatic Face and Gesture Recognition (FG) 2018. In this workshop, we aim to stimulate new ideas and techniques for facial micro-expression analysis by proposing a new cross-database challenge. Two state-of-the-art datasets, CASME II and SAMM, are used to validate the performance of existing and new algorithms. Also, the challenge advocates the recognition of micro-expressions based on AU-centric objective classes rather than emotional classes. We present a summary and analysis of the baseline results using LBP-TOP, HOOF and 3DHOG, together with results from the challenge submissions.

Original languageEnglish
Title of host publication2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG)
PublisherIEEE
Pages675-678
Number of pages4
ISBN (Electronic)9781538623350
DOIs
Publication statusPublished - 7 Jun 2018
Event13th IEEE International Conference on Automatic Face and Gesture Recognition 2018 - Xi'an, China
Duration: 15 May 201819 May 2018

Conference

Conference13th IEEE International Conference on Automatic Face and Gesture Recognition 2018
Abbreviated titleFG 2018
Country/TerritoryChina
CityXi'an
Period15/05/1819/05/18

Keywords

  • CASME II
  • Challenge
  • Facial micro expressions
  • Objective classes
  • SAMM

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Control and Optimization

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