3D hand pose estimation using randomized decision forest with segmentation index points

Proceedings of the IEEE International Conference on Computer Vision

Volumn 2015 International Conference on Computer Vision, ICCV 2015, Issue , 2015, Pages 819-827

  Li, Peiyi ^a,b   Ling, Haibin ^b   Li, Xi ^c   Liao, Chunyuan ^a  

^a HiScene Information Technologies   (China)

^b Temple University   (United States)

^c ZHEJIANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; FORESTRY;

3D HAND POSE ESTIMATIONS; BENCHMARK DATASETS; HAND POSE ESTIMATIONS; JOINT LOCATIONS; RANDOMIZED DECISIONS; REGRESSION FORESTS; STATE-OF-THE-ART METHODS; TRAINING PROCEDURES;

ALGORITHMS;

EID: 84973923091     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2015.100     Document Type: Conference Paper

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