An expressive three-mode principal components model for gender recognition

Journal of Vision

Volumn 4, Issue 5, 2004, Pages 362-377

  Davis, James W ^a   Gao, Hui ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

Biological motion; Gender classification; Recognition; Style analysis; Three mode principal components

Indexed keywords

ADULT; ANALYTICAL ERROR; ARM MOVEMENT; ARTICLE; BODY HEIGHT; BODY MOVEMENT; BODY POSTURE; BODY WEIGHT; COMPUTER MODEL; CONTROLLED STUDY; FEMALE; GAIT; HUMAN; IMAGE DISPLAY; MALE; PATTERN RECOGNITION; PERCEPTION; PRINCIPAL COMPONENT ANALYSIS; RECOGNITION; SEX DIFFERENCE; TIME; WALKING; WALKING SPEED;

ADULT; CONCEPT FORMATION; FEMALE; HUMANS; MALE; MATHEMATICS; MODELS, BIOLOGICAL; PATTERN RECOGNITION, VISUAL; SEX CHARACTERISTICS;

EID: 3843107237     PISSN: 15347362     EISSN: None     Source Type: Journal    
DOI: 10.1167/4.5.2     Document Type: Article

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