The Vitruvian manifold: Inferring dense correspondences for one-shot human pose estimation

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2012, Pages 103-110

  Taylor, Jonathan ^a,b   Shotton, Jamie ^a   Sharp, Toby ^a   Fitzgibbon, Andrew ^a  

^a MICROSOFT RESEARCH   (United Kingdom)

^b UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALTERNATING MINIMIZATION; BODY POSE; BODY SIZES; COMPLEX MODEL; DATA SETS; HUMAN POSE ESTIMATIONS; IMAGE CROPPING; IMAGE DATA; POSE ESTIMATION; REGRESSION FUNCTION; STATE OF THE ART;

OPTIMIZATION;

COMPUTER VISION;

EID: 84866688051     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6247664     Document Type: Conference Paper

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