메뉴 건너뛰기




Volumn 2016-December, Issue , 2016, Pages 5610-5619

Fits like a glove: Rapid and reliable hand shape personalization

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; COST FUNCTIONS; FINITE DIFFERENCE METHOD; PATTERN RECOGNITION;

EID: 84986277729     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2016.605     Document Type: Conference Paper
Times cited : (90)

References (38)
  • 1
    • 35148887494 scopus 로고    scopus 로고
    • Articulated body deformation from range scan data
    • 2
    • B. Allen, B. Curless, and Z. Popovíc. Articulated body deformation from range scan data. ACM Trans. Graphics, 21 (3): 612-619, 2002.
    • (2002) ACM Trans. Graphics , vol.21 , Issue.3 , pp. 612-619
    • Allen, B.1    Curless, B.2    Popovíc, Z.3
  • 2
    • 77953968673 scopus 로고    scopus 로고
    • The space of human body shapes: Reconstruction and parameterization from range scans
    • 2
    • B. Allen, B. Curless, and Z. Popovíc. The space of human body shapes: reconstruction and parameterization from range scans. ACM Trans. Graphics, 22 (3): 587-594, 2003.
    • (2003) ACM Trans. Graphics , vol.22 , Issue.3 , pp. 587-594
    • Allen, B.1    Curless, B.2    Popovíc, Z.3
  • 4
    • 84867852231 scopus 로고    scopus 로고
    • Motion capture of hands in action using discriminative salient points
    • 1
    • L. Ballan, A. Taneja, J. Gall, L. V. Gool, and M. Pollefeys. Motion capture of hands in action using discriminative salient points. In Proc. ECCV, pages 640-653, 2012.
    • (2012) Proc. ECCV , pp. 640-653
    • Ballan, L.1    Taneja, A.2    Gall, J.3    Gool, L.V.4    Pollefeys, M.5
  • 5
    • 84906345204 scopus 로고    scopus 로고
    • OpenDR: An approximate differentiable renderer
    • 3, 5
    • M. Black and M. Loper. OpenDR: An approximate differentiable renderer. In Proc. ECCV, pages 154-169, 2014.
    • (2014) Proc. ECCV , pp. 154-169
    • Black, M.1    Loper, M.2
  • 6
    • 85028639150 scopus 로고    scopus 로고
    • A morphable model for the synthesis of 3D faces
    • 2
    • V. Blanz and T. Vetter. A morphable model for the synthesis of 3D faces. In Proc. SIGGRAPH, pages 187-194, 1999.
    • (1999) Proc. SIGGRAPH , pp. 187-194
    • Blanz, V.1    Vetter, T.2
  • 7
    • 84973890954 scopus 로고    scopus 로고
    • Detailed full-body reconstructions of moving people from monocular RGB-D sequences
    • 2
    • F. Bogo, M. J. Black, M. Loper, and J. Romero. Detailed full-body reconstructions of moving people from monocular RGB-D sequences. In Proc. ICCV, pages 2300-2308, 2015.
    • (2015) Proc. ICCV , pp. 2300-2308
    • Bogo, F.1    Black, M.J.2    Loper, M.3    Romero, J.4
  • 8
    • 84870163664 scopus 로고    scopus 로고
    • What shape are dolphins Building 3D morphable models from 2D images
    • 2
    • T. J. Cashman and A. W. Fitzgibbon. What shape are dolphins Building 3D morphable models from 2D images. IEEE Trans. PAMI, 35 (1): 232-244, 2013.
    • (2013) IEEE Trans. PAMI , vol.35 , Issue.1 , pp. 232-244
    • Cashman, T.J.1    Fitzgibbon, A.W.2
  • 9
    • 84887349614 scopus 로고    scopus 로고
    • Tensor-based human body modeling
    • 2
    • Y. Chen, Z. Liu, and Z. Zhang. Tensor-based human body modeling. In Proc. CVPR, pages 105-112, 2013.
    • (2013) Proc. CVPR , pp. 105-112
    • Chen, Y.1    Liu, Z.2    Zhang, Z.3
  • 10
    • 80054934120 scopus 로고    scopus 로고
    • Model-based 3D hand pose estimation from monocular video
    • 2, 3
    • M. de La Gorce, D. J. Fleet, and N. Paragios. Model-based 3D hand pose estimation from monocular video. IEEE Trans. PAMI, 33 (9): 1793-1805, 2011.
    • (2011) IEEE Trans. PAMI , vol.33 , Issue.9 , pp. 1793-1805
    • De La Gorce, M.1    Fleet, D.J.2    Paragios, N.3
  • 11
    • 51949111555 scopus 로고    scopus 로고
    • Model-based hand tracking with texture, shading and self-occlusions
    • 2, 5
    • M. de La Gorce, N. Paragios, and D. J. Fleet. Model-based hand tracking with texture, shading and self-occlusions. In Proc. CVPR, pages 1-8, 2008.
    • (2008) Proc. CVPR , pp. 1-8
    • De La Gorce, M.1    Paragios, N.2    Fleet, D.J.3
  • 12
    • 80052666180 scopus 로고    scopus 로고
    • Gradient flows for optimizing triangular mesh-based surfaces: Applications to 3D reconstruction problems dealing with visibility
    • 2
    • A. Delaunoy and E. Prados. Gradient flows for optimizing triangular mesh-based surfaces: Applications to 3D reconstruction problems dealing with visibility. IJCV, 95 (2): 100-123, 2011.
    • (2011) IJCV , vol.95 , Issue.2 , pp. 100-123
    • Delaunoy, A.1    Prados, E.2
  • 14
    • 84867874572 scopus 로고    scopus 로고
    • Coregistration: Simultaneous alignment and modeling of articulated 3D shape
    • 2
    • D. A. Hirshberg, M. Loper, E. Rachlin, and M. J. Black. Coregistration: Simultaneous alignment and modeling of articulated 3D shape. In Proc. ECCV, pages 242-255, 2012.
    • (2012) Proc. ECCV , pp. 242-255
    • Hirshberg, D.A.1    Loper, M.2    Rachlin, E.3    Black, M.J.4
  • 15
    • 5044233366 scopus 로고    scopus 로고
    • Levenberg-Marquardt methods with strong local convergence properties for solving nonlinear equations with convex constraints
    • 4
    • C. Kanzow, N. Yamashita, and M. Fukushima. Levenberg-Marquardt methods with strong local convergence properties for solving nonlinear equations with convex constraints. Journal of Computational and Applied Mathematics, 172 (2): 375-397, 2004.
    • (2004) Journal of Computational and Applied Mathematics , vol.172 , Issue.2 , pp. 375-397
    • Kanzow, C.1    Yamashita, N.2    Fukushima, M.3
  • 16
    • 84867863941 scopus 로고    scopus 로고
    • Hand pose estimation and hand shape classification using multi-layered randomized decision forests
    • 1
    • C. Keskin, F. Kirac, Y. E. Kara, and L. Akarun. Hand pose estimation and hand shape classification using multi-layered randomized decision forests. In Proc. ECCV, pages 852-863, 2012.
    • (2012) Proc. ECCV , pp. 852-863
    • Keskin, C.1    Kirac, F.2    Kara, Y.E.3    Akarun, L.4
  • 17
    • 84959241255 scopus 로고    scopus 로고
    • Learning an efficient model of hand shape variation from depth images
    • 1, 2, 3, 4, 6, 8
    • S. Khamis, J. Taylor, J. Shotton, C. Keskin, S. Izadi, and A. Fitzgibbon. Learning an efficient model of hand shape variation from depth images. In Proc. CVPR, pages 2540-2548, 2015.
    • (2015) Proc. CVPR , pp. 2540-2548
    • Khamis, S.1    Taylor, J.2    Shotton, J.3    Keskin, C.4    Izadi, S.5    Fitzgibbon, A.6
  • 18
    • 77956429007 scopus 로고    scopus 로고
    • Global correspondence optimization for non-rigid registration of depth scans
    • 2
    • H. Li, R. W. Sumner, and M. Pauly. Global correspondence optimization for non-rigid registration of depth scans. Computer Graphics Forum, 27 (5): 1421-1430, 2008.
    • (2008) Computer Graphics Forum , vol.27 , Issue.5 , pp. 1421-1430
    • Li, H.1    Sumner, R.W.2    Pauly, M.3
  • 19
    • 77953192804 scopus 로고    scopus 로고
    • Modeling deformable objects from a single depth camera
    • 2
    • M. Liao, Q. Zhang, H. Wang, R. Yang, and M. Gong. Modeling deformable objects from a single depth camera. In Proc. ICCV, pages 167-174, 2009.
    • (2009) Proc. ICCV , pp. 167-174
    • Liao, M.1    Zhang, Q.2    Wang, H.3    Yang, R.4    Gong, M.5
  • 22
    • 85046283329 scopus 로고    scopus 로고
    • Model-based 3D hand tracking with on-line hand shape adaptation
    • 1, 6
    • A. Makris and A. Argyros. Model-based 3D hand tracking with on-line hand shape adaptation. In Proc. BMVC, pages 77. 1-77. 12, 2015.
    • (2015) Proc. BMVC , pp. 771-7712
    • Makris, A.1    Argyros, A.2
  • 24
    • 84973889951 scopus 로고    scopus 로고
    • Training a feedback loop for hand pose estimation
    • 3, 6, 7
    • M. Oberweger, P. Wohlhart, and V. Lepetit. Training a feedback loop for hand pose estimation. In Proc. ICCV, pages 3316-3324, 2015. 3, 6, 7
    • (2015) Proc. ICCV , pp. 3316-3324
    • Oberweger, M.1    Wohlhart, P.2    Lepetit, V.3
  • 25
    • 84898466334 scopus 로고    scopus 로고
    • Efficient modelbased 3D tracking of hand articulations using Kinect
    • 1
    • I. Oikonomidis, N. Kyriazis, and A. Argyros. Efficient modelbased 3D tracking of hand articulations using Kinect. In Proc. BMVC, pages 101. 1-101. 11, 2011.
    • (2011) Proc. BMVC , pp. 1011-10111
    • Oikonomidis, I.1    Kyriazis, N.2    Argyros, A.3
  • 26
    • 84866642674 scopus 로고    scopus 로고
    • Tracking the articulated motion of two strongly interacting hands
    • 1
    • I. Oikonomidis, N. Kyriazis, and A. Argyros. Tracking the articulated motion of two strongly interacting hands. In Proc. CVPR, pages 1862-1869, 2012.
    • (2012) Proc. CVPR , pp. 1862-1869
    • Oikonomidis, I.1    Kyriazis, N.2    Argyros, A.3
  • 29
    • 84959210765 scopus 로고    scopus 로고
    • Fast and robust hand tracking using detection-guided optimization
    • 1, 7
    • S. Sridhar, F. Mueller, A. Oulasvirta, and C. Theobalt. Fast and robust hand tracking using detection-guided optimization. In Proc. CVPR, pages 3213-3221, 2015.
    • (2015) Proc. CVPR , pp. 3213-3221
    • Sridhar, S.1    Mueller, F.2    Oulasvirta, A.3    Theobalt, C.4
  • 30
    • 84925310640 scopus 로고    scopus 로고
    • Real-time hand tracking using a sum of anisotropic Gaussians model
    • 1
    • S. Sridhar, H. Rhodin, H.-P. Seidel, A. Oulasvirta, and C. Theobalt. Real-time hand tracking using a sum of anisotropic Gaussians model. In Proc. 3DV, pages 319-326, 2014.
    • (2014) Proc. 3DV , pp. 319-326
    • Sridhar, S.1    Rhodin, H.2    Seidel, H.-P.3    Oulasvirta, A.4    Theobalt, C.5
  • 31
    • 84973904871 scopus 로고    scopus 로고
    • Depth-based hand pose estimation: Data, methods, and challenges
    • 1
    • J. S. Supancic III, G. Rogez, Y. Yang, J. Shotton, and D. Ramanan. Depth-based hand pose estimation: data, methods, and challenges. In Proc. ICCV, pages 1868-1876, 2015.
    • (2015) Proc. ICCV , pp. 1868-1876
    • Supancic, J.S.1    Rogez, G.2    Yang, Y.3    Shotton, J.4    Ramanan, D.5
  • 33
    • 84973897689 scopus 로고    scopus 로고
    • Opening the black box: Hierarchical sampling optimization for estimating human hand pose
    • 1, 7
    • D. Tang, J. Taylor, P. Kohli, C. Keskin, T.-K. Kim, and J. Shotton. Opening the black box: Hierarchical sampling optimization for estimating human hand pose. In Proc. ICCV, pages 3325-3333, 2015.
    • (2015) Proc. ICCV , pp. 3325-3333
    • Tang, D.1    Taylor, J.2    Kohli, P.3    Keskin, C.4    Kim, T.-K.5    Shotton, J.6
  • 36
    • 84907552337 scopus 로고    scopus 로고
    • Real-time continuous pose recovery of human hands using convolutional networks
    • 1, 6, 7
    • J. Tompson, M. Stein, Y. LeCun, and K. Perlin. Real-time continuous pose recovery of human hands using convolutional networks. ACM Trans. Graphics, 33 (5): #169, 2014.
    • (2014) ACM Trans. Graphics , vol.33 , Issue.5 , pp. 169
    • Tompson, J.1    Stein, M.2    LeCun, Y.3    Perlin, K.4
  • 37
    • 84905731935 scopus 로고    scopus 로고
    • Breathing life into shape: Capturing, modeling and animating 3D human breathing
    • 2
    • A. Tsoli, N. Mahmood, and M. J. Black. Breathing life into shape: capturing, modeling and animating 3D human breathing. ACM Trans. Graphics, 33 (4): #52, 2014.
    • (2014) ACM Trans. Graphics , vol.33 , Issue.4 , pp. 52
    • Tsoli, A.1    Mahmood, N.2    Black, M.J.3
  • 38
    • 84911382380 scopus 로고    scopus 로고
    • Real-time simultaneous pose and shape estimation for articulated objects using a single depth camera
    • 2
    • M. Ye and R. Yang. Real-time simultaneous pose and shape estimation for articulated objects using a single depth camera. In Proc. CVPR, pages 2353-2360, 2014.
    • (2014) Proc. CVPR , pp. 2353-2360
    • Ye, M.1    Yang, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.