Micro-expression Recognition Based on MG-LTP and ELM
Tang Hongme · Video Engineering · 2015
Feature extraction and expression classification are the key technologies of expression recognition. Considering of the low recognition rate of traditional methods,a new algorithm called mean gray local ternary patterns( MG-LTP) based on mean gray is firstly proposed in this paper,and MG-LTP is used to extract expression feature. Then,extreme learning machine( ELM) is used as a classifier for feature classification. Finally,the above two methods are combined for expression recognition,and further for facial micro-expression recognition. Experiments are completed on JAFFE database for expression recognition and CASME databases for facial micro-expression recognition. Compared with traditional methods,the method used in this paper achieves better results.