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.
Authors:
Yap Moi Hoon, See John, Hon Xiaopeng, Wang Su-Jing
Publication type:
A4 Article in conference proceedings
Place of publication:
13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018
Keywords:
6G Publication
Published:
Full citation:
M. H. Yap, J. See, X. Hong and S. Wang, “Facial Micro-Expressions Grand Challenge 2018 Summary,” 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), Xi’an, 2018, pp. 675-678. doi: 10.1109/FG.2018.00106
DOI:
https://doi.org/10.1109/FG.2018.00106
Read the publication here:
http://urn.fi/urn:nbn:fi-fe2019080723643
