메뉴 건너뛰기




Volumn , Issue , 2009, Pages 1425-1432

Learning shape priors for single view reconstruction

Author keywords

[No Author keywords available]

Indexed keywords

2D SILHOUETTES; 3D MODELS; 3D OBJECT; AUTOMATIC RECONSTRUCTION; COMPLEX 3D SHAPES; GAUSSIAN PROCESSES; HUMAN BODIES; LATENT VARIABLE MODELS; NEW APPROACHES; PARAMETRIC MODELS; PRIOR KNOWLEDGE; PROBABILISTIC FRAMEWORK; SHAPE PRIORS; SINGLE-VIEW RECONSTRUCTION; SYNTHETIC AND REAL DATA;

EID: 77953215419     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2009.5457443     Document Type: Conference Paper
Times cited : (25)

References (23)
  • 3
    • 85028639150 scopus 로고    scopus 로고
    • A morphable model for the synthesis of 3D faces
    • V. Blanz and T. Vetter. A morphable model for the synthesis of 3D faces. SIGGRAPH, pages 187-194, 1999.
    • (1999) SIGGRAPH , pp. 187-194
    • Blanz, V.1    Vetter, T.2
  • 4
    • 67349248740 scopus 로고    scopus 로고
    • The naked truth: Estimating body shape under clothing
    • A. Bǎlan and M. Black. The naked truth: estimating body shape under clothing. ECCV, 2008.
    • (2008) ECCV
    • Bǎlan, A.1    Black, M.2
  • 5
    • 0034314128 scopus 로고    scopus 로고
    • Single view metrology
    • A. Criminisi, I. Reid, and A. Zisserman. Single view metrology. IJCV, 40(2):123-148, 2000.
    • (2000) IJCV , vol.40 , Issue.2 , pp. 123-148
    • Criminisi, A.1    Reid, I.2    Zisserman, A.3
  • 6
    • 33845573635 scopus 로고    scopus 로고
    • A dynamic bayesian network model for autonomous 3D reconstruction from a single indoor image
    • E. Delage, H. Lee, and A. Ng. A dynamic bayesian network model for autonomous 3D reconstruction from a single indoor image. CVPR, 2:2418-2428, 2006.
    • (2006) CVPR , vol.2 , pp. 2418-2428
    • Delage, E.1    Lee, H.2    Ng, A.3
  • 7
    • 51949097702 scopus 로고    scopus 로고
    • Context and observation driven latent variable model for human pose estimation
    • A. Gupta, T. Chen, F. Chen, D. Kimber, and L. Davis. Context and observation driven latent variable model for human pose estimation. CVPR, 2008.
    • (2008) CVPR
    • Gupta, A.1    Chen, T.2    Chen, F.3    Kimber, D.4    Davis, L.5
  • 8
  • 9
    • 50649099636 scopus 로고    scopus 로고
    • Real-time body tracking using a gaussian process latent variable model
    • S. Hou, A. Galata, F. Caillette, N. Thacker, and P. Bromiley. Real-time body tracking using a gaussian process latent variable model. ICCV, 2007.
    • (2007) ICCV
    • Hou, S.1    Galata, A.2    Caillette, F.3    Thacker, N.4    Bromiley, P.5
  • 10
    • 0027149310 scopus 로고
    • Tracking nonrigid objects in complex scenes
    • D. Huttenlocher, J. Noh, and W. Rucklidge. Tracking nonrigid objects in complex scenes. ICCV, pages 93-101, 1993.
    • (1993) ICCV , pp. 93-101
    • Huttenlocher, D.1    Noh, J.2    Rucklidge, W.3
  • 11
    • 84898980901 scopus 로고    scopus 로고
    • Gaussian process latent variable models for visualisation of high dimensional data
    • N. Lawrence. Gaussian process latent variable models for visualisation of high dimensional data. NIPS, 16:329-336, 2004.
    • (2004) NIPS , vol.16 , pp. 329-336
    • Lawrence, N.1
  • 12
    • 80053225881 scopus 로고    scopus 로고
    • Fast sparse gaussian process methods: The informative vector machine
    • N. Lawrence, M. Seeger, and R. Herbrich. Fast sparse gaussian process methods: The informative vector machine. NIPS, 15:625-632, 2003.
    • (2003) NIPS , vol.15 , pp. 625-632
    • Lawrence, N.1    Seeger, M.2    Herbrich, R.3
  • 13
    • 0027205884 scopus 로고
    • A scaled conjugate gradient algorithm for fast supervised learning
    • M. Møller. A scaled conjugate gradient algorithm for fast supervised learning. Neural Networks, 6:525-533, 1993.
    • (1993) Neural Networks , vol.6 , pp. 525-533
    • Møller, M.1
  • 14
    • 34948894442 scopus 로고    scopus 로고
    • Accurately measuring human movement using articulated ICP with soft-joint constraints and a repository of articulated model
    • L. Mündermann, S. Corazza, and T. Andriacchi. Accurately measuring human movement using articulated ICP with soft-joint constraints and a repository of articulated model. CVPR, 2007.
    • (2007) CVPR
    • Mündermann, L.1    Corazza, S.2    Andriacchi, T.3
  • 15
    • 52049083751 scopus 로고    scopus 로고
    • Semisupervised joint manifold learning for multi-valued regression
    • R. Navaratnam, A. Fitzgibbon, and R. Cipolla. Semisupervised joint manifold learning for multi-valued regression. ICCV, 2007.
    • (2007) ICCV
    • Navaratnam, R.1    Fitzgibbon, A.2    Cipolla, R.3
  • 16
    • 33845566365 scopus 로고    scopus 로고
    • Single view reconstruction of curved surfaces
    • M. Prasad, A. Zisserman, and A. Fitzgibbon. Single view reconstruction of curved surfaces. CVPR, 2:1345-1354, 2006.
    • (2006) CVPR , vol.2 , pp. 1345-1354
    • Prasad, M.1    Zisserman, A.2    Fitzgibbon, A.3
  • 17
    • 51949104777 scopus 로고    scopus 로고
    • Local deformation models for monocular 3D shape recovery
    • M. Salzmann, R. Urtasun, and P. Fua. Local deformation models for monocular 3D shape recovery. CVPR, 2008.
    • (2008) CVPR
    • Salzmann, M.1    Urtasun, R.2    Fua, P.3
  • 18
    • 36849042041 scopus 로고    scopus 로고
    • 3-D depth reconstruction from a single still image
    • A. Saxena, S. Chung, and A. Ng. 3-D depth reconstruction from a single still image. IJCV, 76(1):53-69, 2008.
    • (2008) IJCV , vol.76 , Issue.1 , pp. 53-69
    • Saxena, A.1    Chung, S.2    Ng, A.3
  • 19
    • 77950404059 scopus 로고    scopus 로고
    • Learning shared latent structure for image synthesis and robotic imitation
    • A. Shon, K. Grochow, A. Hertzmann, and R. Rao. Learning shared latent structure for image synthesis and robotic imitation. NIPS, 16:1233-1240, 2006.
    • (2006) NIPS , vol.16 , pp. 1233-1240
    • Shon, A.1    Grochow, K.2    Hertzmann, A.3    Rao, R.4
  • 20
    • 75149186907 scopus 로고    scopus 로고
    • Combined discriminative and generative articulated pose and non-rigid shape estimation
    • L. Sigal, A. Bǎlan, and M. Black. Combined discriminative and generative articulated pose and non-rigid shape estimation. NIPS, 2007.
    • (2007) NIPS
    • Sigal, L.1    Bǎlan, A.2    Black, M.3
  • 21
    • 84898986732 scopus 로고    scopus 로고
    • Mapping a manifold of perceptual observations
    • J. Tenenbaum. Mapping a manifold of perceptual observations. NIPS, 10:682-688, 2004.
    • (2004) NIPS , vol.10 , pp. 682-688
    • Tenenbaum, J.1
  • 22
    • 41749120316 scopus 로고    scopus 로고
    • Nonrigid structure-from-motion: Estimating shape and motion with hierachical priors
    • L. Torresani, A. Hertzmann, and C. Bregier. Nonrigid structure-from- motion: Estimating shape and motion with hierachical priors. IEEE Trans. PAMI, 30(5):878-892, 2008.
    • (2008) IEEE Trans. PAMI , vol.30 , Issue.5 , pp. 878-892
    • Torresani, L.1    Hertzmann, A.2    Bregier, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.