Opening the black box: Hierarchical sampling optimization for estimating human hand pose

Proceedings of the IEEE International Conference on Computer Vision

Volumn 2015 International Conference on Computer Vision, ICCV 2015, Issue , 2015, Pages 3325-3333

  Tang, Danhang ^a,b   Taylor, Jonathan ^a   Kohli, Pushmeet ^a   Keskin, Cem ^a   Kim, Tae Kyun ^b   Shotton, Jamie ^a  

^a MICROSOFT RESEARCH   (United States)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; MOTION ESTIMATION; OPTIMIZATION;

BLACK-BOX OPTIMIZATION; ENERGY FUNCTIONS; EXPERIMENTAL EVALUATION; HAND POSE ESTIMATIONS; HIERARCHICAL SAMPLING; HIGH LEVEL KNOWLEDGE; IMAGE GENERATIONS; STATE-OF-THE-ART METHODS;

INVERSE PROBLEMS;

EID: 84973897689     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2015.380     Document Type: Conference Paper

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