Enriched long-term recurrent convolutional network for facial micro-expression recognition

Huai Qian Khor, John See, Raphael Chung Wei Phan, Weiyao Lin

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

159 Citations (Scopus)

Abstract

Facial micro-expression (ME) recognition has posed a huge challenge to researchers for its subtlety in motion and limited databases. Recently, handcrafted techniques have achieved superior performance in micro-expression recognition but at the cost of domain specificity and cumbersome parametric tunings. In this paper, we propose an Enriched Long-term Recurrent Convolutional Network (ELRCN) that first encodes each micro-expression frame into a feature vector through CNN module(s), then predicts the micro-expression by passing the feature vector through a Long Short-term Memory (LSTM) module. The framework contains 2 different network variants: (1) Channel-wise stacking of input data for spatial enrichment, (2) Feature-wise stacking of features for temporal enrichment. We demonstrate that the proposed approach is able to achieve reasonably good performance, without data augmentation. In addition, we also present ablation studies conducted on the framework and visualizations of what CNN 'sees' when predicting the micro-expression classes.

Original languageEnglish
Title of host publicationProceedings - 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018
EditorsSidney D’Mello, Louis‐Philippe Morency, Michel Valstar, Lijun Yin
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages667-674
Number of pages8
ISBN (Electronic)9781538623350
ISBN (Print)9781538623367
DOIs
Publication statusPublished - 2018
Externally publishedYes
EventIEEE International Conference on Automatic Face and Gesture Recognition 2018 - Xi'an, China
Duration: 15 May 201819 May 2018
Conference number: 13th
https://fg2018.cse.sc.edu/

Conference

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

Keywords

  • Cross-database evaluation
  • LRCN
  • Micro-Expression Recognition
  • Network enrichment
  • Objective class

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