Paper Info
Title
A Main Directional Maximal Difference Analysis For Spotting Micro-Expressions
Abstract
Micro-expressions are facial expressions that have a short duration (generally less than 0.5 s), involuntary appearance and low intensity of movement. They are regarded as unique cues revealing the hidden emotions of an individual. Although methods for the spotting and recognition of general facial expressions have been investigated, little progress has been made in the automatic spotting and recognition of micro-expressions. In this paper, we proposed the Main Directional Maximal Difference (MDMD) analysis for micro-expression spotting. MDMD uses the magnitude of maximal difference in the main direction of optical flow as a feature to spot facial movements, including micro-expressions. Based on block-structured facial regions, MDMD obtains more accurate features of the movement of expressions for automatically spotting microexpressions and macro-expressions from videos. This method obtains both the temporal and spatial locations of facial movements. The evaluation was performed on two spontaneous databases (CAS(ME) 2 and CASME) containing micro-expressions and macro-expressions.
Year
DOI
Venue
2016
10.1007/978-3-319-54427-4_33
COMPUTER VISION - ACCV 2016 WORKSHOPS, PT II
Field
DocType
Volume
Computer vision,Expression (mathematics),Pattern recognition,Computer science,Facial expression,Artificial intelligence,Optical flow,Spotting
Conference
10117
ISSN
Citations 
PageRank 
0302-9743
1
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Sujing Wang169037.65
Shuhang Wu210.34
Xiaolan Fu378660.72