Learning spatiotemporal features by using independent component analysis with application to facial expression recognition

Neurocomputing

Volumn 93, Issue , 2012, Pages 126-132

  Long, Fei ^a   Wu, Tingfan ^b   Movellan, Javier R ^b   Bartlett, Marian S ^b   Littlewort, Gwen ^b  

^a XIAMEN UNIVERSITY   (China)

^b UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

Author keywords

Facial expression recognition; Feature learning; ICA; Spatiotemporal Gabor filters

Indexed keywords

CLASSIFICATION TASKS; COHN-KANADE DATABASE; FACIAL EXPRESSION RECOGNITION; FEATURE LEARNING; FEATURE REPRESENTATION; GABOR FEATURE; INPUT VIDEOS; LOW-INTENSITY; SPATIO TEMPORAL FEATURES; SPATIO-TEMPORAL FILTER; VIDEO CLASSIFICATION; VIDEO DATA;

COMPUTER VISION; GESTURE RECOGNITION; LEARNING SYSTEMS;

INDEPENDENT COMPONENT ANALYSIS;

ARTICLE; CLASSIFICATION; DATA BASE; FACIAL EXPRESSION RECOGNITION; FILTER; INDEPENDENT COMPONENT ANALYSIS; LEARNING; PRIORITY JOURNAL; RECOGNITION; TASK PERFORMANCE; VIDEORECORDING;

EID: 84862159422     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.04.017     Document Type: Article

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