Publications

Google Scholar

A list of publications including Japanese papers is available here.

Book

  1. Takashi Matsuyama, Shohei Nobuhara, Takeshi Takai, and Tony Tung, 3D Video and Its Applications. Springer, 2012. [pdf] [bibtex]

Tutorial

Journal

  1. Ryo Kawahara, Shohei Nobuhara, and Takashi Matsuyama, “Dynamic 3D capture of swimming fish by underwater active stereo,” Methods in Oceanography, vol. 17, pp. 118–137, Dec. 2016. [pdf] [bibtex]
  2. Tomoyuki Mukasa, Shohei Nobuhara, Tony Tung, and Takashi Matsuyama, “Part-wise Geodesic Histogram Shape Descriptor for Unstructured Mesh Series Segmentation,” IPSJ Transactions on Computer Vision and Applications, vol. 8, pp. 29–39, Mar. 2016. [pdf] [bibtex]
  3. Kosuke Takahashi, Shohei Nobuhara, and Takashi Matsuyama, “Mirror-based Camera Pose Estimation Using an Orthogonality Constraint,” IPSJ Transactions on Computer Vision and Applications, vol. 8, pp. 11–19, Feb. 2016. [pdf] [bibtex]
  4. Zhaozheng Hu, Takashi Matsuyama, and Shohei Nobuhara, “Cell-based visual surveillance with active cameras for 3D human gaze computation,” Multimedia Tools and Applications, vol. 74, no. 11, pp. 4161–4185, Dec. 2015. [pdf] [bibtex]
  5. Qun Shi, Shohei Nobuhara, and Takashi Matsuyama, “Augmented Motion History Volume for Spatiotemporal Editing of 3-D Video in Multiparty Interaction Scenes,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 1, pp. 63–76, Jan. 2015. [pdf] [bibtex]
  6. Ryo Kawahara, Shohei Nobuhara, and Takashi Matsuyama, “Underwater 3D surface capture using multi-view projectors and cameras with flat housings,” IPSJ Transactions on Computer Vision and Applications, vol. 6, pp. 43–47, Jul. 2014. [link] [bibtex]
  7. Tomoyuki Mukasa, Shohei Nobuhara, Tony Tung, and Takashi Matsuyama, “Tree-structured mesoscopic surface characterization for kinematic structure estimation from 3d video,” IPSJ Transactions on Computer Vision and Applications, vol. 6, pp. 12–24, Jun. 2014. [pdf] [bibtex]
  8. Tomohiko Yano, Shohei Nobuhara, and Takashi Matsuyama, “3d shape from silhouettes in water for online novel-view synthesis,” IPSJ Transactions on Computer Vision and Applications, vol. 5, no. 0, pp. 65–69, Jul. 2013. [pdf] [bibtex]
  9. Qun Shi, Shohei Nobuhara, and Takashi Matsuyama, “3D Face Reconstruction and Gaze Estimation from Multi-view Video using Symmetry Prior,” IPSJ Transactions on Computer Vision and Applications, vol. 4, pp. 149–160, Oct. 2012. [pdf] [bibtex]
  10. Tatsuhisa Yamaguchi, Hiromasa Yoshimoto, Shohei Nobuhara, and Takashi Matsuyama, “Cell-based 3D video capture of a freely-moving object using multi-viewpoint active cameras,” IPSJ Transactions on Computer Vision and Applications, vol. 2, pp. 169–184, Nov. 2010. [pdf] [bibtex]
  11. Shohei Nobuhara, Yuta Kimura, and Takashi Matsuyama, “Object-oriented color calibration of multi-viewpoint cameras in sparse and convergent arrangement,” IPSJ Transactions on Computer Vision and Applications, vol. 2, pp. 132–144, Mar. 2010. [bibtex]
  12. Shohei Nobuhara, Yoshiyuki Tsuda, Iku Ohama, and Takashi Matsuyama, “Multi-viewpoint silhouette extraction with 3D context-aware error detection, correction, and shadow suppression,” IPSJ Transactions on Computer Vision and Applications, vol. 1, pp. 242–259, Sep. 2009. [pdf] [bibtex]
  13. Tomoyuki Mukasa, Shohei Nobuhara, Atsuto Maki, and Takashi Matsuyama, “Finding kinematic structure in time series volume data,” ELCVIA: Electronic Letters on Computer Vision and Image Analysis, vol. 7, no. 4, pp. 062–72, Apr. 2009. [pdf] [bibtex]
  14. Jonathan Starck, Atsuto Maki, Shohei Nobuhara, Adrian Hilton, and Takashi Matsuyama, “The multiple-camera 3-D production studio,” IEEE Transactions on circuits and systems for video technology, vol. 19, no. 6, pp. 856–869, Mar. 2009. [pdf] [bibtex]
  15. Takashi Matsuyama, Xiaojun Wu, Takeshi Takai, and Shohei Nobuhara, “Real-time 3D shape reconstruction, dynamic 3D mesh deformation, and high fidelity visualization for 3D video,” Computer Vision and Image Understanding, vol. 96, no. 3, pp. 393–434, Dec. 2004. [pdf] [bibtex]

International Conference

  1. Rodrigo Verschae, Hiroaki Kawashima, and Shohei Nobuhara, “A Multi-Camera System for Underwater Real-Time 3D Fish Detection and Tracking,” in IEEE OCEANS, 2017. [bibtex]
  2. Rodrigo Verschae, Li Li, Shohei Nobuhara, and Takekazu Kato, “A Sky Image Analysis System for Sub-minute PV Prediction,” in The International 2017 IEEE Photovoltaic Specialists Conference (PVSC-44), 2017. [pdf] [bibtex]
  3. Kosuke Takahashi, Akihiro Miyata, Shohei Nobuhara, and Takashi Matsuyama, “A Linear Extrinsic Calibration of Kaleidoscopic Imaging System From Single 3D Point,” in Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. (acceptance ratio: poster 783/2680 = 30%) [pdf] [bibtex]
  4. Shohei Nobuhara, Takashi Kashino, Takashi Matsuyama, Kouta Takeuchi, and Kensaku Fujii, “A Single-Shot Multi-Path Interference Resolution for Mirror-Based Full 3D Shape Measurement with a Correlation-Based ToF Camera,” in Proc. of International Conference on 3D Vision (3DV), 2016, pp. 342–350. [pdf] [bibtex]
  5. Mai Nishimura, Shohei Nobuhara, Takashi Matsuyama, Shinya Shimizu, and Kensaku Fujii, “A Linear Generalized Camera Calibration from Three Intersecting Reference Planes,” in Proc. of IEEE International Conference on Computer Vision (ICCV), 2015, pp. 2354–2362. (acceptance ratio: poster 525/1698 = 30.3%) [pdf] [link] [bibtex]
  6. Tomu Tahara, Ryo Kawahara, Shohei Nobuhara, and Takashi Matsuyama, “Interference-free epipole-centered structured light pattern for mirror-based multi-view active stereo,” in Proc. of International Conference on 3D Vision (3DV), 2015, pp. 153–161. (acceptance ratio: 50/160) [pdf] [bibtex]
  7. Hanbyul Joo, Hao Liu, Lei Tan, Lin Gui, Bart Nabbe, Iain Matthews, Takeo Kanade, Shohei Nobuhara, and Yaser Sheikh, “Panoptic studio: A massively multiview system for social motion capture,” in Proc. of IEEE International Conference on Computer Vision (ICCV), 2015, pp. 3334–3342. (acceptance ratio: oral 56/1698 = 3.3%) [pdf] [bibtex]
  8. Ryo Kawahara, Shohei Nobuhara, and Takashi Matsuyama, “A Pixel-wise Varifocal Camera Model for Efficient Forward Projection and Linear Extrinsic Calibration of Underwater Cameras with Flat Housings,” in ICCV Workshop on Underwater Vision, 2014. Best Paper Award [pdf] [link] [bibtex]
  9. Shohei Nobuhara, Wei Ning, and Takashi Matsuyama, “A Real-Time View-Dependent Shape Optimization for High Quality Free-Viewpoint Rendering of 3D Video,” in Proc. of International Conference on 3D Vision (3DV), 2014, vol. 1, pp. 665–672. (acceptance ratio: 89/176) [pdf] [link] [bibtex]
  10. Tomoyuki Mukasa, Shohei Nobuhara, Tony Tung, and Takashi Matsuyama, “A 3D Shape Descriptor for Segmentation of Unstructured Meshes into Segment-Wise Coherent Mesh Series,” in Proc. of International Conference on 3D Vision (3DV), 2014, vol. 1, pp. 633–640. (acceptance ratio: 89/176) [pdf] [bibtex]
  11. Qun Shi, Shohei Nobuhara, and Takashi Matsuyama, “Augmented Motion History Volume for Spatiotemporal Editing of 3D Video in Multi-party Interaction Scenes,” in Proc. of International Conference on 3D Vision (3DV), 2013, pp. 414–421. [pdf] [bibtex]
  12. Kosuke Takahashi, Shohei Nobuhara, and Takashi Matsuyama, “A new mirror-based extrinsic camera calibration using an orthogonality constraint,” in Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012, pp. 1051–1058. Best Open Source Code Award 2nd Prize [pdf] [link] [bibtex]
  13. Yali Zheng, Shohei Nobuhara, and Yaser Sheikh, “Structure from motion blur in low light,” in Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011, pp. 2569–2576. [pdf] [bibtex]
  14. Peng Huang, Tony Tung, Shohei Nobuhara, Adrian Hilton, and Takashi Matsuyama, “Comparison of skeleton and non-skeleton shape descriptors for 3d video,” in Proc. of International Symposium on 3D Data Processing, Visualization, and Transmission, 2010. [pdf] [bibtex]
  15. Hideyuki Tamura, Takashi Matsuyama, Naokazu Yokoya, Ryosuke Ichikari, Shohei Nobuhara, and Tomokazu Sato, “Computer vision technology applied to MR-based pre-visualization in filmmaking,” in Proc. of Asian Conference on Computer Vision (ACCV), 2010, pp. 1–10. (Keynote Speech) [pdf] [bibtex]
  16. Tony Tung, Shohei Nobuhara, and Takashi Matsuyama, “Complete multi-view reconstruction of dynamic scenes from probabilistic fusion of narrow and wide baseline stereo,” in Proc. of IEEE International Conference on Computer Vision (ICCV), 2009, pp. 1709–1716. [pdf] [bibtex]
  17. Tatsuhisa Yamaguchi, Shohei Nobuhara, and Takashi Matsuyama, “Cell-based object tracking method for 3D shape reconstruction using multi-viewpoint active cameras,” in The 9th IEEE International Workshop on Visual Surveillance (VS2009), 2009, pp. 1306–1313. [pdf] [bibtex]
  18. Tony Tung, Shohei Nobuhara, and Takashi Matsuyama, “Simultaneous super-resolution and 3D video using graph-cuts,” in Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008, pp. 1–8. [pdf] [bibtex]
  19. Tomoyuki Mukasa, Arata Miyamoto, Shohei Nobuhara, Atsuto Maki, and Takashi Matsuyama, “Complex human motion estimation using visibility,” in Proc. of IEEE International Conference on Automatic Face & Gesture Recognition (FG), 2008, pp. 1–6. [pdf] [bibtex]
  20. T. Matsuyama, S. Nobuhara, T. Mukasa, A. Miyamoto, and K. Fujimoto, “3D Human Sensing,” in International Conference on Informatics Education and Research for Knowledge-Circulating Society, 2008, pp. 41–46. [pdf] [bibtex]
  21. Shohei Nobuhara, Yoshiyuki Tsuda, Takashi Matsuyama, and Iku Ohama, “Multi-viewpoint Silhouette Extraction with 3D Context-aware Error Detection, Correction, and Shadow Suppression,” in 4th European Conference on Visual Media Production (CVMP), 2007. [pdf] [bibtex]
  22. Shohei Nobuhara and Takashi Matsuyama, “Deformable mesh model for complex multi-object 3D motion estimation from multi-viewpoint video,” in Proc. of International Symposium on 3D Data Processing, Visualization, and Transmission, 2006, pp. 264–271. [pdf] [bibtex]
  23. Tomoyuki Mukasa, Shohei Nobuhara, Atsuto Maki, and Takashi Matsuyama, “Finding articulated body in time-series volume data,” in Proc. of International Conference on Articulated Motion and Deformable Objects, 2006, pp. 395–404. [pdf] [bibtex]
  24. Takeshi Takai, Shohei Nobuhara, Hiromasa Yoshimoto, and Takashi Matsuyama, “3D video technologies: capturing high fidelity full 3D shape, motion, and texture,” in Proc. of ISMAR Workshop, 2006. [pdf] [bibtex]
  25. Shohei Nobuhara and Takashi Matsuyama, “Heterogeneous deformation model for 3D shape and motion recovery from multi-viewpoint images,” in Proc. of International Symposium on 3D Data Processing, Visualization, and Transmission, 2004, pp. 566–573. [pdf] [bibtex]
  26. Takashi Matsuyama, Xiaojun Wu, Takeshi Takai, and Shohei Nobuhara, “Real-Time Generation and High Fidelity Visualization of 3D Video,” in MIRAGE, 2003, pp. 1–10. [pdf] [bibtex]
  27. Shohei Nobuhara and Takashi Matsuyama, “Dynamic 3D shape from multi-viewpoint images using deformable mesh model,” in Proceedings of the 3rd International Symposium on Image and Signal Processing and Analysis, 2003, vol. 1, pp. 192–197. [pdf] [bibtex]

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