Since then micro-expression study in computer vision field has been attracting attentions from more and more researchers. ( 2011) started pioneering research on spontaneous micro-expression recognition with the first publically available spontaneous micro-expression dataset: SMIC, and achieved very promising results that compare favorably with the human accuracy. So computer vision and machine learning methods for automatic micro-expression analysis become appealing. Study (Ekman, 2002) shows that for micro-expression recognition tasks, ordinary people without training only perform slightly better than chance on average. Micro-expressions are too short (1/25 to 1/2 s) and subtle for human eyes to perceive. Micro-expressions, the fleeting and involuntary facial expression, often occurring in high-stake situations when people try to conceal or mask their true feelings, became well-known since 1960s, from the work of Haggard and Isaacs ( 1966) in which micro-expression was firstly termed as micromomentary facial expressions, and later from the work of Ekman and Friesen ( 1969).
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |