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Volumn 7577 LNCS, Issue PART 6, 2012, Pages 852-863

Hand pose estimation and hand shape classification using multi-layered randomized decision forests

Author keywords

[No Author keywords available]

Indexed keywords

DEPTH SENSORS; EXPERT NETWORKS; HAND POSE; HAND SHAPE; LOCAL EXPERTS; MULTI-LAYERED; NOVEL ALGORITHM; RANDOMIZED DECISIONS; VISION BASED;

EID: 84867863941     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33783-3_61     Document Type: Conference Paper
Times cited : (194)

References (22)
  • 3
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman, L.: Random forests. Machine Learning 45, 5-32 (2001)
    • (2001) Machine Learning , vol.45 , pp. 5-32
    • Breiman, L.1
  • 14
    • 42249090374 scopus 로고    scopus 로고
    • Real-time hand posture recognition using range data
    • Malassiotis, S., Strintzis, M.: Real-time hand posture recognition using range data. Image and Vision Computing 26, 1027-1037 (2008)
    • (2008) Image and Vision Computing , vol.26 , pp. 1027-1037
    • Malassiotis, S.1    Strintzis, M.2
  • 15
    • 79952520914 scopus 로고    scopus 로고
    • Markerless and Efficient 26-DOF Hand Pose Recovery
    • Kimmel, R., Klette, R., Sugimoto, A. (eds.) ACCV 2010, Part III. Springer, Heidelberg
    • Oikonomidis, I., Kyriazis, N., Argyros, A.A.: Markerless and Efficient 26-DOF Hand Pose Recovery. In: Kimmel, R., Klette, R., Sugimoto, A. (eds.) ACCV 2010, Part III. LNCS, vol. 6494, pp. 744-757. Springer, Heidelberg (2011)
    • (2011) LNCS , vol.6494 , pp. 744-757
    • Oikonomidis, I.1    Kyriazis, N.2    Argyros, A.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.