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Volumn , Issue , 2014, Pages 3786-3793

Latent regression forest: Structured estimation of 3D articulated hand posture

Author keywords

3D hand posture; latent regression forest; latent tree model; regression forest

Indexed keywords

PATTERN RECOGNITION; TOPOLOGY;

EID: 84911393251     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.490     Document Type: Conference Paper
Times cited : (401)

References (20)
  • 1
    • 84880775422 scopus 로고    scopus 로고
    • Motion capture of hands in action using discriminative salient points
    • L. Ballan, A. Taneja, J. Gall, L. V. Gool, and M. Polle-feys. Motion capture of hands in action using discriminative salient points. In ECCV, 2012.
    • (2012) ECCV
    • Ballan, L.1    Taneja, A.2    Gall, J.3    Gool, L.V.4    Polle-Feys, M.5
  • 2
    • 79960117913 scopus 로고    scopus 로고
    • Learning latent tree graphical models
    • M. J. Choi, V. Y. F. Tan, A. Anandkumar, and A. S. Willsky. Learning latent tree graphical models. JMLR, 12:1771-1812, 2011.
    • (2011) JMLR , vol.12 , pp. 1771-1812
    • Choi, M.J.1    Tan, V.Y.F.2    Anandkumar, A.3    Willsky, A.S.4
  • 3
    • 80054934120 scopus 로고    scopus 로고
    • Model-based 3d hand pose estimation from monocular video
    • M. de La Gorce, D. Fleet, and N. Paragios. Model-based 3d hand pose estimation from monocular video. TPAMI, 33(9):1793-1805, 2011.
    • (2011) TPAMI , vol.33 , Issue.9 , pp. 1793-1805
    • De La Gorce, M.1    Fleet, D.2    Paragios, N.3
  • 4
    • 34548206205 scopus 로고    scopus 로고
    • Vision-based hand pose estimation: A review
    • A. Erol, G. Bebis, M. Nicolescu, R. D. Boyle, and X. Twombly. Vision-based hand pose estimation: A review. CVIU, 108(1):52-73, 2007.
    • (2007) CVIU , vol.108 , Issue.1 , pp. 52-73
    • Erol, A.1    Bebis, G.2    Nicolescu, M.3    Boyle, R.D.4    Twombly, X.5
  • 7
    • 79955471570 scopus 로고    scopus 로고
    • Greedy learning of binary latent trees
    • S. Harmeling and C. K. I. Williams. Greedy learning of binary latent trees. TPAMI, 33(6):1087-1097, 2011.
    • (2011) TPAMI , vol.33 , Issue.6 , pp. 1087-1097
    • Harmeling, S.1    Williams, C.K.I.2
  • 8
    • 84881506083 scopus 로고    scopus 로고
    • Hand pose estimation and hand shape classification using multi-layered randomized decision forests
    • C. Keskin, F. Kiraç, Y. E. Kara, and L. Akarun. Hand pose estimation and hand shape classification using multi-layered randomized decision forests. In ECCV, 2012.
    • (2012) ECCV
    • Keskin, C.1    Kiraç, F.2    Kara, Y.E.3    Akarun, L.4
  • 11
    • 84879912869 scopus 로고    scopus 로고
    • A survey on latent tree models and applications
    • R. Mourad, C. Sinoquet, N. L. Zhang, T. Liu, and P. Leray. A survey on latent tree models and applications. JAIR, 47:157-203, 2013.
    • (2013) JAIR , vol.47 , pp. 157-203
    • Mourad, R.1    Sinoquet, C.2    Zhang, N.L.3    Liu, T.4    Leray, P.5
  • 12
    • 84856650938 scopus 로고    scopus 로고
    • Full dof tracking of a hand interacting with an object by modeling occlusions and physical constraints
    • I. Oikonomidis, N. Kyriazis, and A. A. Argyros. Full dof tracking of a hand interacting with an object by modeling occlusions and physical constraints. In ICCV, 2011.
    • (2011) ICCV
    • Oikonomidis, I.1    Kyriazis, N.2    Argyros, A.A.3
  • 16
    • 84866654638 scopus 로고    scopus 로고
    • Conditional regression forests for human pose estimation
    • M. Sun, P. Kohli, and J. Shotton. Conditional regression forests for human pose estimation. In CVPR, 2012.
    • (2012) CVPR
    • Sun, M.1    Kohli, P.2    Shotton, J.3
  • 17
    • 84898774089 scopus 로고    scopus 로고
    • Real-time articulated hand pose estimation using semi-supervised transductive regression forests
    • D. Tang, T.-H. Yu, and T.-K. Kim. Real-time articulated hand pose estimation using semi-supervised transductive regression forests. In ICCV, 2013.
    • (2013) ICCV
    • Tang, D.1    Yu, T.-H.2    Kim, T.-K.3
  • 18
    • 84866688051 scopus 로고    scopus 로고
    • The vitru-vian manifold: Inferring dense correspondences for one-shot human pose estimation
    • J. Taylor, J. Shotton, T. Sharp, and A. Fitzgibbon. The vitru-vian manifold: Inferring dense correspondences for one-shot human pose estimation. In CVPR, 2012.
    • (2012) CVPR
    • Taylor, J.1    Shotton, J.2    Sharp, T.3    Fitzgibbon, A.4
  • 19
    • 84887323389 scopus 로고    scopus 로고
    • Exploring the spatial hierarchy of mixture models for human pose estimation
    • Y. Tian, C. Zitnick, and S. Narasimhan. Exploring the spatial hierarchy of mixture models for human pose estimation. In ECCV, 2012.
    • (2012) ECCV
    • Tian, Y.1    Zitnick, C.2    Narasimhan, S.3
  • 20
    • 84887367149 scopus 로고    scopus 로고
    • Beyond physical connections: Tree models in human pose estimation
    • F. Wang and Y. Li. Beyond physical connections: Tree models in human pose estimation. In CVPR, 2013.
    • (2013) CVPR
    • Wang, F.1    Li, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.