A psychologically-inspired match-score fusion model for video-based facial expression recognition

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

Volumn 6975 LNCS, Issue PART 2, 2011, Pages 341-350

  Cruz, Albert ^a   Bhanu, Bir ^a   Yang, Songfan ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

avatar image registration; local phase quantization; vision and attention theory

Indexed keywords

AVATAR IMAGE REGISTRATION; CLASSIFICATION RATES; DATA SETS; DYNAMIC SAMPLING; FACIAL EMOTIONS; FACIAL EXPRESSION RECOGNITION; FACIAL EXPRESSIONS; FUSION MODEL; FUSION TECHNIQUES; HUMAN VISION; LOCAL PHASE QUANTIZATION; NON-VERBAL COMMUNICATIONS; VERY LARGE DATUM; VISUAL INFORMATION; COMPUTER METHODS; LOCAL PHASE QUANTIZATIONS; TEMPORAL PARTITIONS;

CLASSIFICATION (OF INFORMATION); COMPUTER VISION; GESTURE RECOGNITION; HUMAN COMPUTER INTERACTION; INTELLIGENT COMPUTING; COMPUTATION THEORY;

FACE RECOGNITION;

EID: 80054841755     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24571-8_45     Document Type: Conference Paper

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