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Volumn , Issue , 2011, Pages 357-362

Real-time 3D hand gesture interaction with a robot for understanding directions from humans

Author keywords

[No Author keywords available]

Indexed keywords

DEPTH SENSORS; HAND GESTURE; HAND-GESTURE RECOGNITION; INTERACTIVE ROBOT;

EID: 80053044858     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROMAN.2011.6005195     Document Type: Conference Paper
Times cited : (153)

References (15)
  • 3
    • 79952518638 scopus 로고    scopus 로고
    • Combining RGB and ToF Cameras for Real-time 3D Hand Gesture Interaction
    • Proc. of the IEEE Workshop on Applications of Computer Vision (WACV)
    • M. Van den Bergh, L. Van Gool, "Combining RGB and ToF Cameras for Real-time 3D Hand Gesture Interaction, Comput. J., Proc. of the IEEE Workshop on Applications of Computer Vision (WACV), 2011.
    • (2011) Comput. J.
    • Van Den Bergh, M.1    Van Gool, L.2
  • 11
    • 34548206205 scopus 로고    scopus 로고
    • Vision-based hand pose estimation: A review
    • DOI 10.1016/j.cviu.2006.10.012, PII S1077314206002281, Vision for Human-Computer Interaction
    • A. Erol, G. Bebis, M. Nicolescu, R. D. Boyle and X. Twombly. Vision-based hand pose estimation: a review. Computer Vision and Image Understanding, 108:52-73, 2007. (Pubitemid 47333390)
    • (2007) Computer Vision and Image Understanding , vol.108 , Issue.1-2 , pp. 52-73
    • Erol, A.1    Bebis, G.2    Nicolescu, M.3    Boyle, R.D.4    Twombly, X.5
  • 14
    • 0035478854 scopus 로고    scopus 로고
    • Statistics Department, University of California, Berkley, Springer
    • Leo Breiman, Statistics Department, University of California, Berkley, Machine Learning, Springer, 45, 5-32, 2001
    • (2001) Machine Learning , vol.45 , pp. 5-32
    • Breiman, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.