Depth-based hand pose estimation: Data, methods, and challenges

Proceedings of the IEEE International Conference on Computer Vision

Volumn 2015 International Conference on Computer Vision, ICCV 2015, Issue , 2015, Pages 1868-1876

  Supancic, James S ^a   Rogez, Gregory ^b   Yang, Yi ^c   Shotton, Jamie ^d   Ramanan, Deva ^e  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b INRIA   (France)

^c BAIDU INC   (China)

^d MICROSOFT   (United States)

^e CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; COMPUTERS; ELECTRICAL ENGINEERING;

CLUTTERED SCENES; DEPTH SENSORS; EVALUATION CRITERIA; EXISTING SYSTEMS; HAND POSE ESTIMATIONS; NEAREST NEIGHBORS; POSE ESTIMATION; STATE OF THE ART;

COMPUTER VISION;

EID: 84973904871     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2015.217     Document Type: Conference Paper

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