Integration of geometric and dynamic features for facial expression recognition in color image sequences

Proceedings of the 2010 International Conference of Soft Computing and Pattern Recognition, SoCPaR 2010

Volumn , Issue , 2010, Pages 237-240

  Niese, Robert ^a   Al Hamadi, Ayoub ^a   Michaelis, Bernd ^a   Neumann, Heiko ^b  

^a OTTO VON GUERICKE UNIVERSITY   (Germany)

^b UNIVERSITY OF ULM   (Germany)

Author keywords

Application; Facial expression analysis; Human computer interaction; Pattern recognition

Indexed keywords

COLOR IMAGE SEQUENCES; COMMON PROBLEMS; DYNAMIC FEATURES; EUCLIDEAN DISTANCE; EXPERIMENTAL INVESTIGATIONS; FACIAL EXPRESSION ANALYSIS; FACIAL EXPRESSION RECOGNITION; FACIAL EXPRESSIONS; GEOMETRIC FEATURE; IMAGE REGIONS; INTEGRATED EVALUATION; NEW APPROACHES; OPTICAL FLOW METHODS; RECOGNITION RATES; SPATIAL FEATURES; TEMPORAL INFORMATION;

FACE RECOGNITION; GEOMETRY; GESTURE RECOGNITION; HUMAN COMPUTER INTERACTION; OPTICAL FLOWS; SOFT COMPUTING;

FEATURE EXTRACTION;

EID: 79951506917     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SOCPAR.2010.5686080     Document Type: Conference Paper

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