Micro-expression recognition using robust principal component analysis and local spatiotemporal directional features

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8925, Issue , 2015, Pages 325-338

  Wang, Su Jing ^a,d   Yan, Wen Jing ^a,b   Zhao, Guoying ^c   Fu, Xiaolan ^a   Zhou, Chun Guang ^d  

^a INSTITUTE OF PSYCHOLOGY   (China)

^b WENZHOU UNIVERSITY   (China)

^c UNIVERSITY OF OULU   (Finland)

^d JILIN UNIVERSITY   (China)

Author keywords

Dynamic features; Local binary pattern; Micro expression recognition; Sparse representation; Subtle motion extraction

Indexed keywords

COMPUTER KEYBOARDS; COMPUTER VISION; FACE RECOGNITION; GESTURE RECOGNITION;

DYNAMIC FEATURES; LOCAL BINARY PATTERNS; MICRO-EXPRESSIONS; SPARSE REPRESENTATION; SUBTLE MOTIONS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84925299346     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-16178-5_23     Document Type: Conference Paper

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