Recovering 3D human pose from monocular images

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 28, Issue 1, 2006, Pages 44-58

  Agarwal, Ankur ^a   Triggs, Bill ^a  

^a INRIA RHÔNE ALPES   (France)

Author keywords

Computer vision; Human motion estimation; Machine learning; Multivariate regression

Indexed keywords

COMPUTER VISION; DATA ACQUISITION; ERROR ANALYSIS; IMAGE ANALYSIS; IMAGE SEGMENTATION; MOTION ESTIMATION; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINES;

IMAGE SEQUENCES; MONOCULAR IMAGES; MULTIVARIATE REGRESSION; SHAPE DESCRIPTOR VECTORS;

GESTURE RECOGNITION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BODY POSTURE; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; HISTOLOGY; HUMAN; IMAGE SUBTRACTION; JOINT; METHODOLOGY; PHOTOGRAPHY; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; JOINTS; PATTERN RECOGNITION, AUTOMATED; PHOTOGRAPHY; POSTURE; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 33644830736     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2006.21     Document Type: Article

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