Facial micro-expressions grand challenge 2018 summary

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

doi:10.1109/FG.2018.00106

Facial micro-expressions grand challenge 2018 summary

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

School of Mathematical & Computer Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

58 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 language	English
Title of host publication	2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG)
Publisher	IEEE
Pages	675-678
Number of pages	4
ISBN (Electronic)	9781538623350
DOIs	https://doi.org/10.1109/FG.2018.00106
Publication status	Published - 7 Jun 2018
Event	13th IEEE International Conference on Automatic Face and Gesture Recognition 2018 - Xi'an, China Duration: 15 May 2018 → 19 May 2018

Conference

Conference	13th IEEE International Conference on Automatic Face and Gesture Recognition 2018
Abbreviated title	FG 2018
Country/Territory	China
City	Xi'an
Period	15/05/18 → 19/05/18

Keywords

CASME II
Challenge
Facial micro expressions
Objective classes
SAMM

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Control and Optimization

Access to Document

10.1109/FG.2018.00106

Cite this

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title = "Facial micro-expressions grand challenge 2018 summary",

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.",

keywords = "CASME II, Challenge, Facial micro expressions, Objective classes, SAMM",

author = "Yap, {Moi Hoon} and John See and Xiaopeng Hong and Su-Jing Wang",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.; 13th IEEE International Conference on Automatic Face and Gesture Recognition 2018, FG 2018 ; Conference date: 15-05-2018 Through 19-05-2018",

year = "2018",

month = jun,

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doi = "10.1109/FG.2018.00106",

language = "English",

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booktitle = "2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG)",

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AB - 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.

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Facial micro-expressions grand challenge 2018 summary

Abstract

Conference

Keywords

ASJC Scopus subject areas

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