| Panoptic studio: A massively multiview system for social motion capture H Joo, H Liu, L Tan, L Gui, B Nabbe, I Matthews, T Kanade, S Nobuhara, ... Proceedings of the IEEE International Conference on Computer Vision, 3334-3342, 2015 | 471 | 2015 |
| Real-time 3D shape reconstruction, dynamic 3D mesh deformation, and high fidelity visualization for 3D video T Matsuyama, X Wu, T Takai, S Nobuhara Computer Vision and Image Understanding 96 (3), 393-434, 2004 | 203 | 2004 |
| Deep photovoltaic nowcasting J Zhang, R Verschae, S Nobuhara, JF Lalonde Solar Energy 176, 267-276, 2018 | 84 | 2018 |
| Complete multi-view reconstruction of dynamic scenes from probabilistic fusion of narrow and wide baseline stereo T Tung, S Nobuhara, T Matsuyama 2009 IEEE 12th International Conference on Computer Vision, 1709-1716, 2009 | 78 | 2009 |
| A new mirror-based extrinsic camera calibration using an orthogonality constraint K Takahashi, S Nobuhara, T Matsuyama 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1051-1058, 2012 | 77 | 2012 |
| 3D video and its applications T Matsuyama, S Nobuhara, T Takai, T Tung Springer Science & Business Media, 2012 | 76 | 2012 |
| Simultaneous super-resolution and 3D video using graph-cuts T Tung, S Nobuhara, T Matsuyama 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 75 | 2008 |
| The multiple-camera 3-d production studio J Starck, A Maki, S Nobuhara, A Hilton, T Matsuyama IEEE Transactions on circuits and systems for video technology 19 (6), 856-869, 2009 | 74 | 2009 |
| A Pixel-wise Varifocal Camera Model for Efficient Forward Projection and Linear Extrinsic Calibration of Underwater Cameras with Flat Housings R Kawahara, S Nobuhara, T Matsuyama ICCV Workshop on Underwater Vision, 2014 | 33 | 2014 |
| Dynamic 3D shape from multi-viewpoint images using deformable mesh model S Nobuhara, T Matsuyama 3rd International Symposium on Image and Signal Processing and Analysis …, 2003 | 29 | 2003 |
| Deformable mesh model for complex multi-object 3D motion estimation from multi-viewpoint video S Nobuhara, T Matsuyama Third International Symposium on 3D Data Processing, Visualization, and …, 2006 | 27 | 2006 |
| 3D shape from silhouettes in water for online novel-view synthesis T Yano, S Nobuhara, T Matsuyama IPSJ Transactions on Computer Vision and Applications 5, 65-69, 2013 | 24 | 2013 |
| Heterogeneous deformation model for 3D shape and motion recovery from multi-viewpoint images S Nobuhara, T Matsuyama Proceedings. 2nd International Symposium on 3D Data Processing …, 2004 | 24 | 2004 |
| Multi-viewpoint silhouette extraction with 3D context-aware error detection, correction, and shadow suppression S Nobuhara, Y Tsuda, I Ohama, T Matsuyama IPSJ Transactions on Computer Vision and Applications 1, 242-259, 2009 | 23 | 2009 |
| 弾性メッシュモデルを用いた多視点画像からの高精度 3 次元形状復元 延原章平， 和田俊和， 松山隆司 情報処理学会論文誌コンピュータビジョンとイメージメディア (CVIM) 43 (SIG11 (CVIM5)), 53-63, 2002 | 23 | 2002 |
| Interference-free epipole-centered structured light pattern for mirror-based multi-view active stereo T Tahara, R Kawahara, S Nobuhara, T Matsuyama 2015 International Conference on 3D Vision, 153-161, 2015 | 15 | 2015 |
| Comparison of skeleton and non-skeleton shape descriptors for 3d video P Huang, T Tung, S Nobuhara, A Hilton, T Matsuyama Proceedings of the 3DPVT International Symposium, 2010 | 15 | 2010 |
| Finding articulated body in time-series volume data T Mukasa, S Nobuhara, A Maki, T Matsuyama International Conference on Articulated Motion and Deformable Objects, 395-404, 2006 | 15 | 2006 |
| Soic: Semantic online initialization and calibration for lidar and camera W Wang, S Nobuhara, R Nakamura, K Sakurada arXiv preprint arXiv:2003.04260, 2020 | 11 | 2020 |
| Dynamic 3D capture of swimming fish by underwater active stereo R Kawahara, S Nobuhara, T Matsuyama Methods in Oceanography 17, 118-137, 2016 | 11 | 2016 |
Tony TUNGResearch Scientist Manager, Facebook Reality LabsVerified email at fb.com
