Name
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/FG.2018.00106 | PROCEEDINGS 2018 13TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE & GESTURE RECOGNITION (FG 2018) |
Field | DocType | ISSN |
Expression (mathematics),Computer science,Gesture recognition,Natural language processing,Artificial intelligence | Conference | 2326-5396 |
Citations | PageRank | References |
2 | 0.37 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Moi Hoon Yap | 1 | 190 | 27.82 |
| John See | 2 | 112 | 19.55 |
| Xiaopeng Hong | 3 | 379 | 42.27 |
| Su-Jing Wang | 4 | 2 | 0.37 |