発表論文・著書

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書籍

  1. 延原章平, “メディアテクノロジーシリーズ７ コンピュータビジョン - デバイス・アルゴリズムとその応用 -，第５章「人物の計測・認識・モデル化」,” 日浦慎作, Ed. コロナ社, 2024. [link] [bibtex]
  2. 延原章平, “コンピュータビジョン最前線 Spring 2023，「フカヨミマテリアルセグメンテーション」,” 井尻善久，牛久祥孝，片岡裕雄，藤吉弘亘, Ed. 共立出版, 2023. [link] [bibtex]
  3. 延原章平, “コンピュータ画像処理（改訂2版），第６章「画像特徴の抽出」,” 田村秀行，斎藤英雄, Ed. オーム社, 2022. [link] [bibtex]
  4. Takashi Matsuyama, Shohei Nobuhara, Takeshi Takai, and Tony Tung, 3D Video and Its Applications. Springer, 2012. [link] [bibtex]
  5. 株式会社四次元データ 畠中晃弘，延原章平, ゼロからはじめるJSP/サーブレット. ASCII, 2003. [link] [bibtex]

チュートリアル講演

研究論文（査読あり）

  1. Yifan Zhan, Zhuoxiao Li, Muyao Niu, Zhihang Zhong, Shohei Nobuhara, Ko Nishino, and Yinqiang Zheng, “KFD-NeRF: Rethinking Dynamic NeRF with Kalman Filter,” in Proc. of European Conference on Computer Vision (ECCV), 2024.     [pdf] [arxiv] [bibtex]
  2. Tomoki Ichikawa, Shohei Nobuhara, and Ko Nishino, “SPIDeRS: Structured Polarization for Invisible Depth and Reflectance Sensing,” in Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024, pp. 25077–25085.     [pdf] [arxiv] [bibtex]
  3. Zhuoxiao Li, Zhihang Zhong, Shohei Nobuhara, Ko Nishino, and Yinqiang Zheng, “Fooling Polarization-Based Vision using Locally Controllable Polarizing Projection,” in Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024, pp. 24706–24715.     [pdf] [arxiv] [bibtex]
  4. Kohei Yamashita, Shohei Nobuhara, and Ko Nishino, “DeepShaRM: Multi-View Shape and Reflectance Map Recovery Under Unknown Lighting,” in Proc. of International Conference on 3D Vision (3DV), 2024.     [pdf] [arxiv] [bibtex]
  5. Sudong Cai, Ryosuke Wakaki, Shohei Nobuhara, and Ko Nishino, “RGB road scene material segmentation,” Image and Vision Computing, p. 104970, 2024. [pdf] [bibtex]
  6. Kaen Kogashi, Shohei Nobuhara, and Ko Nishino, “SAN: Structure-aware attention network for dyadic human relation recognition in images,” Multimedia Tools and Applications, Oct. 2023. [pdf] [bibtex]
  7. Shu Nakamura, Yasutomo Kawanishi, Shohei Nobuhara, and Ko Nishino, “DeePoint: Visual Pointing Recognition and Direction Estimation,” in Proc. of International Conference on Computer Vision (ICCV), 2023, pp. 20577–20587.     [pdf] [project] [bibtex]
  8. Yifan Zhan, Shohei Nobuhara, Ko Nishino, and Yinqiang Zheng, “NeRFrac: Neural Radiance Fields through Refractive Surface,” in Proc. of International Conference on Computer Vision (ICCV), 2023, pp. 18402–18412.     [pdf] [project] [bibtex]
  9. Tomoki Ichikawa, Yoshiki Fukao, Shohei Nobuhara, and Ko Nishino, “Fresnel Microfacet BRDF: Unification of Polari-Radiometric Surface-Body Reflection,” in Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.     [pdf] [arxiv] [project] [bibtex]
  10. Ryo Kawahara, Meng-Yu Jennifer Kuo, and Shohei Nobuhara, “Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction,” in Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.     [pdf] [bibtex]
  11. Mai Nishimura, Shohei Nobuhara, and Ko Nishino, “View Birdification in the Crowd: Ground-Plane Localization from Perceived Movements,” International Journal of Computer Vision (IJCV), May 2023.     [pdf] [arxiv] [bibtex]
  12. Kohei Yamashita, Yuto Enyo, Shohei Nobuhara, and Ko Nishino, “nLMVS-Net: Deep Non-Lambertian Multi-View Stereo,” in Proc. of IEEE Winter Conference on Applications of Computer Vision (WACV), 2023.     [pdf] [arxiv] [project] [bibtex]
  13. Yuzheng Xu, Yang Wu, Nur Sabrina Binti Zuraimi, Shohei Nobuhara, and Ko Nishino, “Video Region Annotation with Sparse Bounding Boxes,” in International Journal of Computer Vision (IJCV), 2022.     [pdf] [arxiv] [bibtex]
  14. Kosuke Takahashi and Shohei Nobuhara, “Structure of Multiple Mirror System from Kaleidoscopic Projections of Single 3D Point,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 44, no. 9, pp. 5602–5617, 2022.     [pdf] [arxiv] [bibtex]
  15. Mengyu Jennifer Kuo, Satoshi Murai, Ryo Kawahara, Shohei Nobuhara, and Ko Nishino, “Surface Normals and Shape From Water,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 44, no. 12, pp. 9150–9162, 2022.     [pdf] [bibtex]
  16. Zhe Chen, Shohei Nobuhara, and Ko Nishino, “Invertible Neural BRDF for Object Inverse Rendering,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 44, no. 12, pp. 9380–9395, 2022.     [pdf] [bibtex]
  17. Yupeng Liang, Ryosuke Wakaki, Shohei Nobuhara, and Ko Nishino, “Multimodal Material Segmentation,” in Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.     [pdf] [project] [bibtex]
  18. Soma Nonaka, Shohei Nobuhara, and Ko Nishino, “Dynamic 3D Gaze from Afar: Deep Gaze Estimation from Temporal Eye-Head-Body Coordination,” in Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.     [pdf] [project] [bibtex]
  19. Kaen Kogashi, Shohei Nobuhara, and Ko Nishino, “Dyadic Human Relation Recognition,” in Proc. of IEEE International Conference on Multimedia and Expo (ICME), 2022.     (Oral) [bibtex]
  20. Sang-Eun Lee, Keisuke Shibata, Soma Nonaka, Shohei Nobuhara, and Ko Nishino, “Extrinsic Camera Calibration from A Moving Person,” IEEE Robotics and Automation Letters with IROS presentation, vol. 7, no. 4, pp. 10344–10351, 2022.     [pdf] [project] [bibtex]
  21. Sudong Cai, Ryosuke Wakaki, Shohei Nobuhara, and Ko Nishino, “RGB Road Scene Material Segmentation,” in Proc. of Asian Conference on Computer Vision (ACCV), 2022.     [pdf] [project] [bibtex]
  22. Mai Nishimura, Shohei Nobuhara, and Ko Nishino, “ViewBirdiformer: Learning to Recover Ground-Plane Crowd Trajectories and Ego-Motion from a Single Ego-Centric View,” IEEE Robotics and Automation Letters, vol. 8, pp. 368–375, 2022.     [pdf] [arxiv] [bibtex]
  23. Taichi Fukuda, Kotaro Hasegawa, Shinya Ishizaki, Shohei Nobuhara, and Ko Nishino, “BlindSpotNet: Seeing Where We Cannot See,” in Proc. of European Conference on Computer Vision (ECCV) Workshops – Autonomous Vehicle Vision Workshop, 2022.     [video] [arxiv] [project] [bibtex]
  24. Mengyu Jennifer Kuo, Ryo Kawahara, Shohei Nobuhara, and Ko Nishino, “Non-Rigid Shape from Water,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 43, no. 7, pp. 2220–2232, 2021.     [pdf] [video] [bibtex]
  25. Tomoki Ichikawa, Mattew Purri, Ryo Kawahara, Shohei Nobuhara, Kristin Dana, and Ko Nishino, “Shape from Sky: Polarimetric Normal Recovery Under The Sky,” in Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 14832–14841.     [pdf] [project] [bibtex]
  26. Yoshiki Fukao, Ryo Kawahara, Shohei Nobuhara, and Ko Nishino, “Polarimetric Normal Stereo,” in Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 682–690.     [pdf] [project] [bibtex]
  27. Keisuke Shibata, Sangeun Lee, Shohei Nobuhara, and Ko Nishino, “Consistent 3D Human Shape from Repeatable Action,” in Proc. of The 3rd International Workshop on Dynamic Scene Reconstruction (DynaVis), CVPR Workshop, 2021, pp. 1770–1779.     Best Paper Award [pdf] [video] [bibtex]
  28. Kaen Kogashi, Yang Wu, Shohei Nobuhara, and Ko Nishino, “Human-Object Interaction Detection With Missing Objects,” in Proc. of 17th International Conference on Machine Vision Applications (MVA), 2021.     [bibtex]
  29. Kaen Kogashi, Yang Wu, Shohei Nobuhara, and Ko Nishino, “Human-object interaction detection with missing objects,” Image and Vision Computing, vol. 113, p. 104262, 2021. [pdf] [bibtex]
  30. Mai Nishimura, Shohei Nobuhara, and Ko Nishino, “View Birdification in the Crowd: Ground-Plane Localization from Perceived Movements,” in Proc. of British Machine Vision Conference (BMVC), 2021.     [pdf] [bibtex]
  31. Kohei Yamashita, Shohei Nobuhara, and Ko Nishino, “3D-GMNet: Single-View 3D Shape Recovery as A Gaussian Mixture,” in Proc. of British Machine Vision Conference (BMVC), 2020, pp. 1–13.     [pdf] [arxiv] [bibtex]
  32. Yuzheng Xu, Yang Wu, Nur Sabrina Binti Zuraimi, Shohei Nobuhara, and Ko Nishino, “Video Region Annotation with Sparse Bounding Boxes,” in Proc. of British Machine Vision Conference (BMVC), 2020, pp. 1–12.     (oral), Best Student Paper Award [pdf] [arxiv] [bibtex]
  33. Zhe Chen, Shohei Nobuhara, and Ko Nishino, “Invertible Neural BRDF for Object Inverse Rendering,” in Proc. of European Conference on Computer Vision (ECCV), 2020, pp. 767–783.     (Spotlight) [pdf] [video] [arxiv] [project] [bibtex]
  34. Ryo Kawahara, Meng-Yu Kuo, Shohei Nobuhara, and Ko Nishino, “Appearance and Shape from Water Reflection,” in Proc. of IEEE Winter Conference on Applications of Computer Vision (WACV), 2020, pp. 128–136.     [pdf] [video] [bibtex]
  35. Satoshi Murai, Meng-Yu Jennifer Kuo, Ryo Kawahara, Shohei Nobuhara, and Ko Nishino, “Surface Normals and Shape From Water,” in Proc. of International Conference on Computer Vision (ICCV), 2019, pp. 7829–7837.     (Oral) [pdf] [video] [bibtex]
  36. H. Joo, T. Simon, X. Li, H. Liu, L. Tan, L. Gui, S. Banerjee, T. S. Godisart, B. Nabbe, I. Matthews, T. Kanade, S. Nobuhara, and Y. A. Sheikh, “Panoptic Studio: A Massively Multiview System for Social Interaction Capture,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 41, no. 1, pp. 190–204, 2019. [pdf] [arxiv] [bibtex]
  37. Jinsong Zhang, Rodrigo Verschae, Shohei Nobuhara, and Jean-François Lalonde, “Deep Photovoltaic Nowcasting,” Solar Energy, vol. 176, pp. 267–276, Dec. 2018. [pdf] [arxiv] [bibtex]
  38. Rodrigo Verschae, Hiroaki Kawashima, and Shohei Nobuhara, “A Multi-Camera System for Underwater Real-Time 3D Fish Detection and Tracking,” in IEEE OCEANS, 2017, pp. 1–5.     [pdf] [bibtex]
  39. 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]
  40. 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] [arxiv] [bibtex]
  41. 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]
  42. 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]
  43. 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] [project] [bibtex]
  44. 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]
  45. 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]
  46. 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]
  47. Mai Nishimura, Shohei Nobuhara, Takashi Matsuyama, Shinya Shimizu, and Kensaku Fujii, “A Linear Generalized Camera Calibration from Three Intersecting Reference Planes,” in Proc. of International Conference on Computer Vision (ICCV), 2015, pp. 2354–2362.     (acceptance ratio: poster 525/1698 = 30.3%) [pdf] [project] [bibtex]
  48. 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]
  49. 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 International Conference on Computer Vision (ICCV), 2015, pp. 3334–3342. (acceptance ratio: oral 56/1698 = 3.3%) [pdf] [bibtex]
  50. 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]
  51. 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]
  52. 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] [project] [bibtex]
  53. 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]
  54. 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]
  55. 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]
  56. 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, 2013, pp. 819–824. Best Paper Award [pdf] [project] [bibtex]
  57. 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]
  58. 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] [project] [bibtex]
  59. 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]
  60. 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]
  61. 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. [pdf] [bibtex]
  62. 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 (3DPVT), 2010, pp. 1–8. [pdf] [bibtex]
  63. 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]
  64. 延原章平, 宮本新, 松山隆司, “三次元形状計測における不完全性のモデル化に基づいた複雑な人物動作の推定,” 電子情報通信学会論文誌Ｄ, vol. 92, no. 12, pp. 2225–2237, Dec. 2009. [pdf] [bibtex]
  65. 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]
  66. 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. 62–72, Apr. 2009. [pdf] [bibtex]
  67. 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 (TCSVT), vol. 19, no. 6, pp. 856–869, Mar. 2009. [pdf] [bibtex]
  68. 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 International Conference on Computer Vision (ICCV), 2009, pp. 1709–1716. [pdf] [bibtex]
  69. 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]
  70. 延原章平, 松山隆司, “弾性メッシュモデルを用いた複雑な三次元形状・運動の同時復元,” 電子情報通信学会論文誌Ｄ, vol. 91, no. 6, pp. 1613–1624, Jun. 2008. [pdf] [bibtex]
  71. 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]
  72. 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 and Gesture Recognition (FG), 2008, pp. 1–6. [pdf] [bibtex]
  73. 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]
  74. 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, pp. 19–27. [pdf] [bibtex]
  75. 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 (3DPVT), 2006, pp. 264–271. [pdf] [bibtex]
  76. 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 (AMDO), 2006, pp. 395–404. [pdf] [bibtex]
  77. 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]
  78. 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 (CVIU), vol. 96, no. 3, pp. 393–434, Dec. 2004. [pdf] [bibtex]
  79. 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 (3DPVT), 2004, pp. 566–573. [pdf] [bibtex]
  80. 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]
  81. 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]
  82. 延原章平, 和田俊和, 松山隆司, “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,” 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), vol. 43, no. SIG11 (CVIM5), pp. 53–63, Dec. 2002. [pdf] [bibtex]
  83. 松山隆司, 高井勇志, ウ小軍, 延原章平, “３次元ビデオ映像の撮影・編集・表示,” 日本バーチャルリアリティ学会論文誌, vol. 7, no. 4, pp. 521–532, Dec. 2002. [pdf] [bibtex]

口頭発表（査読なし）

  1. 武次 広夢, 大羽 剛瑠, 前田 孝泰, 延原 章平, 浮田 宗伯, “物理シミュレータを用いた姿勢整合損失による人軌跡予測,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2024-CVIM-238(3), May 2024. [pdf] [bibtex]
  2. Mai Nishimura, Shohei Nobuhara, and Ko Nishino, “View Birdification: On-Ground Pedestrian Movement Estimation and Prediction from Ego-centric In-Crowd Views,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2023-CVIM-234(3), May 2023. 情報処理学会CVIM研究会奨励賞受賞 [pdf] [bibtex]
  3. 樋上彩加, 大島果林, 白松（磯口）知世, 高橋 宏知, 延原章平, 西野恒, “変形可能な3次元体表面ラットモデル,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2023-CVIM-234(9), May 2023. 情報処理学会CVIM研究会卒論セッション優秀賞受賞 [pdf] [bibtex]
  4. 野上誠太, 延原章平, 西野恒, “自己教師学習による動画焦点ボケの除去,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2023-CVIM-234(10), May 2023. [pdf] [bibtex]
  5. 松田有登, Marc A. Kastner, 延原章平, 西野恒, “固定視点映像からの会話注意行動理解,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2023-CVIM-234(11), May 2023. [pdf] [bibtex]
  6. 田村駿弥, 延原章平, 西野恒, “固定車外視点からの車窓内光景の推定,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2023-CVIM-234(12), May 2023. [pdf] [bibtex]
  7. 佐々木翔大, 延原章平, 西野恒, “単眼映像からの着せ替え可能な人体モデルの復元,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2023-CVIM-234(13), May 2023. 情報処理学会CVIM研究会卒論セッション最優秀賞受賞 [pdf] [bibtex]
  8. Yupeng Liang, Ryosuke Wakaki, Shohei Nobuhara, and Ko Nishino, “Multimodal Material Segmentation,” 画像の認識・理解シンポジウム(MIRU), Jul. 2022. 招待講演 [pdf] [project] [bibtex]
  9. Soma Nonaka, Shohei Nobuhara, and Ko Nishino, “Dynamic 3D Gaze from Afar: Deep Gaze Estimation from Temporal Eye-Head-Body Coordination,” 画像の認識・理解シンポジウム(MIRU), Jul. 2022. 招待講演 [pdf] [project] [bibtex]
  10. 延與 唯人, 山下 浩平, 延原 章平, 西野 恒, “球面畳み込みニューラルネットワークを用いた光源状況推定,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2021-CVIM-230(18), May 2022. 情報処理学会CVIM研究会卒業論文セッション優秀賞受賞 [pdf] [bibtex]
  11. 中村 周, 野中 聡馬, 川西 康友, 山下 浩平, 延原 章平, 西野 恒, “深層指差し方向推定,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2021-CVIM-230(23), May 2022. [pdf] [bibtex]
  12. 石崎 慎弥, 長谷川 浩太郎, 福田 太一, 延原 章平, 西野 恒, “道路死角データセット,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2021-CVIM-230(30), May 2022. 情報処理学会CVIM研究会卒業論文セッション最優秀賞受賞 [pdf] [bibtex]
  13. Meng-Yu Jennifer Kuo, Ryo Kawahara, Satoshi Murai, Shohei Nobuhara, and Ko Nishino, “Refraction and Absorption for Underwater Shape Recovery,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2021-CVIM-230(2), May 2022. 情報処理学会CVIM研究会奨励賞受賞 [pdf] [bibtex]
  14. Tomoki Ichikawa, Mattew Purri, Ryo Kawahara, Shohei Nobuhara, Kristin Dana, and Ko Nishino, “Shape from Sky: Polarimetric Normal Recovery Under The Sky,” 画像の認識・理解シンポジウム(MIRU), Jul. 2021. 招待講演 [pdf] [project] [bibtex]
  15. Yoshiki Fukao, Ryo Kawahara, Shohei Nobuhara, and Ko Nishino, “Polarimetric Normal Stereo,” 画像の認識・理解シンポジウム(MIRU), Jul. 2021. 招待講演 [pdf] [project] [bibtex]
  16. 市川 知樹, Matthew Purri, 川原 僚, 延原 章平, Kristin Dana, 西野 恒, “空の偏光分布を用いた三次元形状復元,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2021-CVIM-226(23), May 2021. 情報処理学会CVIM研究会卒業論文セッション優秀賞受賞 [pdf] [bibtex]
  17. 長谷川 浩太郎, 延原 章平, 西野 恒, “写真の自動立体変換,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2021-CVIM-226(24), May 2021. 情報処理学会CVIM研究会卒業論文セッション優秀賞受賞 [pdf] [bibtex]
  18. 吉武 佑汰, 延原 章平, 西野 恒, “顔画像の属性編集,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2021-CVIM-226(25), May 2021. [pdf] [bibtex]
  19. 福田 太一, 延原 章平, 西野 恒, “胸部方向を考慮した車載映像における歩行者の経路予測,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2021-CVIM-226(31), May 2021. [pdf] [bibtex]
  20. 和田 有輝也, 延原 章平, 西野 恒, “深層手書き漢字生成,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2021-CVIM-226(27), May 2021. 情報処理学会CVIM研究会卒業論文セッション優秀賞受賞 [pdf] [bibtex]
  21. Satoshi Murai, Meng-Yu Jennifer Kuo, Ryo Kawahara, Shohei Nobuhara, and Ko Nishino, “Surface Normals and Shape From Water,” 画像の認識・理解シンポジウム(MIRU), Aug. 2020. 招待講演 [pdf] [video] [bibtex]
  22. 深尾圭貴, 延原章平, 西野恒, “風を見る,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2020-CVIM-222(27), May 2020. 情報処理学会CVIM研究会卒業論文セッション最優秀賞受賞 [pdf] [bibtex]
  23. Ryo Kawahara and Shohei Nobuhara, “A Novel Catadioptric Ray-Pixel Camera Model and its Application to 3D Reconstruction,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2019-CVIM-217(7), May 2019. 情報処理学会CVIM研究会奨励賞受賞 [pdf] [bibtex]
  24. 若木良介, 延原章平, 西野恒, “特徴を保持した統計的形状モデル,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2019-CVIM-217(9), May 2019. 情報処理学会CVIM研究会卒業論文セッション優秀賞受賞 [pdf] [bibtex]
  25. 山下浩平, 延原章平, 西野恒, “混合ガウス分布推定ネットワークを用いた単一画像からの3次元物体形状復元,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2019-CVIM-217(19), May 2019. 情報処理学会CVIM研究会卒業論文セッション最優秀賞受賞 [pdf] [bibtex]
  26. Kosuke Takahashi and Shohei Nobuhara, “Camera Calibration Based on Mirror Reflections,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2018-CVIM-212(39), May 2018. 情報処理学会CVIM研究会奨励賞受賞 [pdf] [bibtex]
  27. 梶原 遼, 延原 章平, “和装人物の単視点姿勢推定のための遮蔽部位3次元位置推定,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2018-CVIM-212(26), May 2018. [pdf] [bibtex]
  28. 川原僚, 延原章平, “Teleidoscopic-Imagingシステムによる微小物体の多視点撮影,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2017-CVIM-208(24), Sep. 2017. 情報処理学会CVIM研究会奨励賞受賞 [pdf] [bibtex]
  29. 川原僚, 延原章平, “Teleidoscopic-Imagingシステムによる微小物体の多視点撮影,” 画像の認識・理解シンポジウム(MIRU), Aug. 2017. [bibtex]
  30. Rodrigo Verschae, Li Li, Shohei Nobuhara, and Takekazu Kato, “Daytime Sky Image Model and Prediction,” 画像の認識・理解シンポジウム(MIRU), Aug. 2017. [bibtex]
  31. 村井聖, 延原章平, “屈折を考慮した水中非剛体Structure from Motion,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2017-CVIM-207(5), May 2017. 情報処理学会CVIM研究会卒業論文セッション優秀賞受賞 [pdf] [bibtex]
  32. 奥野琢也, 延原章平, “平行平面屈折層を備えたプロジェクタ・カメラシステムの自己較正,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2017-CVIM-207(4), May 2017. [pdf] [bibtex]
  33. Meng-Yu Jennifer Kuo and Shohei Nobuhara, “One-Shot Underwater Active Stereo Through Refractive Parallel Flat Surfaces,” 第2回PoTS映像学シンポジウム, Mar. 2017. [pdf] [bibtex]
  34. 高橋康輔, 宮田明裕, 延原章平, 松山隆司, “複合鏡を用いた仮想多視点カメラシステムにおける単一参照点の観測に基づく線形外部キャリブレーション法,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2017-CVIM-205(41), Jan. 2017. 情報処理学会CVIM研究会奨励賞受賞 [pdf] [bibtex]
  35. Rodrigo Verschae, Shohei Nobuhara, Hiroaki Kawashima, and Takashi Matsuyama, “A Real-Time 3D Fish Detection and Tracking System,” 画像の認識・理解シンポジウム(MIRU), PS3-69, Aug. 2016. [bibtex]
  36. 植野夏樹, 延原章平, 松山隆司, “平行柱面屈折層を備えたRay-Pixelカメラのキャリブレーション,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2016-CVIM-202(11), May 2016. 情報処理学会CVIM研究会卒業論文セッション優秀賞受賞 [pdf] [bibtex]
  37. 石原裕之, 延原章平, 松山隆司, “屈折面における光線空間の幾何光学的・波動光学的変化を用いた透明物体の３次元形状復元,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2016-CVIM-201(2), Mar. 2016. 情報処理学会CVIM研究会奨励賞受賞 [pdf] [bibtex]
  38. 田原都夢, 川原僚, 延原章平, 松山隆司, “鏡によるパターン光の多重照射を考慮した仮想多視点アクティブステレオ,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2015-CVIM-197(07), May 2015. 情報処理学会CVIM研究会卒業論文セッション最優秀賞受賞 [pdf] [bibtex]
  39. 田原都夢, 川原僚, 延原章平, 松山隆司, “複合鏡を用いた全周囲3次元形状計測のためのプロジェクタカメラシステム,” 第77回情報処理学会全国大会, Mar. 2015. [pdf] [bibtex]
  40. 西村 真衣, 延原 章平, 松山 隆司, 志水 信哉, 藤井 憲作, “交差3平面を用いたRay-Pixelカメラの線形キャリブレーション,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2015-CVIM-196(8), Mar. 2015. [pdf] [bibtex]
  41. 矢野 智彦, 延原 章平, 松山 隆司, “多視点画像を用いた半透明水中物体の3次元形状・透過率分布推定,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2015-CVIM-196(9), Mar. 2015. [pdf] [bibtex]
  42. 矢野智彦, 延原章平, 松山隆司, “多視点画像を用いた半透明水中物体の３次元形状・透過率分布推定,” 第18回画像の認識・理解シンポジウム（MIRU2015）, 2015. [bibtex]
  43. 西村真衣, 延原章平, 松山隆司, 志水信哉, 藤井憲作, “同一光線拘束を用いたRaxelカメラキャリブレーション,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2014-CVIM-194(21), Nov. 2014. [pdf] [bibtex]
  44. 柏野孝士, 延原章平, 松山隆司, “複合鏡を用いた単一深度カメラによる全周囲３次元形状計測,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2014-CVIM-192(5), May 2014. [pdf] [bibtex]
  45. 川原僚, 延原章平, 松山隆司, “画素依存型バリフォーカルカメラモデルによる水中多視点カメラ群の線形外部キャリブレーション,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2014-CVIM-191(34), Feb. 2014. [pdf] [bibtex]
  46. Ryo Kawahara, Shohei Nobuhara, and Takashi Matsuyama, “Underwater 3D Surface Capture using Multi-view Projectors and Cameras with Flat Housings,” 画像の認識・理解シンポジウム(MIRU), 2014. (acceptance ratio: oral: 25/85) [bibtex]
  47. 川原僚, 延原章平, 松山隆司, “水中撮影のための画素依存型バリフォーカルカメラモデル,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2013-CVIM-187(11), May 2013. [pdf] [bibtex]
  48. 西村真衣, 延原章平, 松山隆司, “既知背景の屈折像を用いた透明多面体の3次元形状復元,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2013-CVIM-187(12), May 2013. ( (32件中2件の受賞)) 情報処理学会CVIM研究会卒業論文セッション優秀賞 [pdf] [bibtex]
  49. 矢野智彦, 延原章平, 松山隆司, “水中物体向け視体積交差法,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2013-CVIM-187(13), May 2013. [pdf] [bibtex]
  50. Pablo Roman-Humanes, Shohei Nobuhara, Tony Tung, Takeshi Takai, and Takashi Matsuyama, “Large Display Light Field Estimation in a Wide Area,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2013-CVIM-187(47), May 2013. [pdf] [bibtex]
  51. Qun Shi, Shohei Nobuhara, and Takashi Matsuyama, “Motion History Volume for Spatiotemporal Editing of 3D Video in Multi-party Interaction Scenes,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2013-CVIM-187(48), May 2013. [pdf] [bibtex]
  52. Tomohiko Yano, Shohei Nobuhara, and Takashi Matsuyama, “3D Shape from Silhouettes in Water for Online Novel-View Synthesis,” 画像の認識・理解シンポジウム(MIRU), 2013. ( (14件中1件の受賞)) (acceptance ratio: oral: 27/90) MIRU優秀学生論文賞 [project] [bibtex]
  53. 高井勇志, 延原章平, 田辺太一, 松山隆司, ウ小軍, “視点依存形状最適化による高精細自由視点画像生成,” 画像の認識・理解シンポジウム(MIRU), Aug. 2012. [pdf] [bibtex]
  54. 高橋康輔, 延原章平, 松山隆司, “参照物体の鏡像を用いた線形外部キャリブレーション法,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2012-CVIM-180(25), Jan. 2012. [pdf] [bibtex]
  55. 延原章平, 松山隆司, ウ小軍, 松浦宣彦, “多視点画像を用いた複雑環境下における３次元形状・対象領域の同時推定,” 画像の認識・理解シンポジウム(MIRU), Jul. 2011. [pdf] [bibtex]
  56. 小林亮介, 延原章平, 松山隆司, “Motion History Volumeを使った３次元人物動作の編集,” 画像の認識・理解シンポジウム(MIRU), Jul. 2011. [pdf] [bibtex]
  57. 黒田真央, 延原章平, 松山隆司, “対称性制約を用いた多視点映像からの３次元顔形状復元と視線推定,” 画像の認識・理解シンポジウム(MIRU), Jul. 2011. [pdf] [bibtex]
  58. 木村優太, 延原章平, 松山隆司, “多視点画像の相互色較正,” 画像の認識・理解シンポジウム(MIRU), Jul. 2009. [pdf] [bibtex]
  59. 津田佳行, 延原章平, 松山隆司, “連結性を考慮したグラフカットによる多視点画像からの３次元形状復元,” 画像の認識・理解シンポジウム(MIRU), Jul. 2009. [pdf] [bibtex]
  60. 延原章平, 宮本新, 松山隆司, “観測の不完全性のモデル化による複雑な人物動作の推定,” 画像の認識・理解シンポジウム(MIRU), Jul. 2008. [pdf] [bibtex]
  61. 藤本圭, 延原章平, 松山隆司, “3次元ビデオからの人物頭部及び視線の検出,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2008-CVIM-163, May 2008. [pdf] [bibtex]
  62. 津田佳行, 延原章平, 松山隆司, “多視点画像を用いた対象および影領域抽出法,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2007-CVIM-159, May 2007. [pdf] [bibtex]
  63. 大濱郁, 延原章平, 松山隆司, “多視点画像を用いた誤り検出・訂正機能を持つ高精度対象領域抽出法,” 画像の認識・理解シンポジウム(MIRU), Jul. 2006. [pdf] [bibtex]
  64. 延原章平, 松山隆司, “多視点映像からの3次元形状・運動復元のための弾性メッシュモデル,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2005-CVIM-149, May 2005. [pdf] [bibtex]
  65. 松村和機, 延原章平, 松山隆司, “対象追跡映像からの3次元形状復元のための多視点カメラキャリブレーション,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2005-CVIM-149, May 2005. [pdf] [bibtex]
  66. 松山隆司, ウ小軍, 高井勇志, 延原章平, “3次元ビデオの生成・編集：ベースライン・システムの構築,” 第1回デジタルコンテンツシンポジウム, S1-2, May 2005. [bibtex]
  67. 大浜郁, 延原章平, 松山隆司, “2次元・3次元の空間的連続性に基づく多視点画像からの対象領域抽出,” 信学会2005総合大会 ISS特別企画「学生ポスターセッション」, Mar. 2005. [pdf] [bibtex]
  68. 大浜郁, 延原章平, 松山隆司, “多視点画像を用いた高精度対象領域抽出,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2004-CVIM-144(40), May 2004. [pdf] [bibtex]
  69. 延原章平, 和田俊和, 松山隆司, “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,” 画像の認識・理解シンポジウム(MIRU), Jul. 2002. [pdf] [bibtex]
  70. ウ小軍, 延原章平, 和田俊和, 松山隆司, “多視点映像からの実時間３次元形状復元とその高精度化,” 情報処理学会コンピュータビジョンとイメージメディア研究会(CVIM), 2001-CVIM-131(2), Jan. 2002. [pdf] [bibtex]

講演

  1. “映像を用いた実世界人物行動解析.” ITコンソーシアム京都 AI・IoT活用部会 講演会, 24-Nov-2022. [bibtex]
  2. “実践カメラキャリブレーション ～カメラを用いた実世界計測の基礎と応用～.” 第25回画像センシングシンポジウム, 14-Jun-2019. [bibtex]
  3. “３次元計測のためのマルチカメラシステム設計と実例.” 第４回３Ｄ勉強会＠関東, 23-Feb-2019. [bibtex]
  4. “人を視る人工知能技術としてのコンピュータビジョン.” 京大テックフォーラム『人工知能で人を視る、聴く、創る』, 29-Jan-2019. [bibtex]
  5. “人工知能と機械学習を活用した映像・映画制作技術.” 京都府「映像技術・IoT技術のオープンイノベーションシンポジウム」, 16-Mar-2018. [bibtex]
  6. “Aqua Vision: Light Field Modeling of Underwater Projector-Camera System and Its Applications.” International Multidisciplinary Workshop on Sensing, Reconstruction, and Recognition of Environment at NAIST, 06-Mar-2017. [bibtex]
  7. “３次元ビデオとその応用.” 京都府「映像・映画のオープンイノベーションシンポジウム」, 06-Mar-2017. [bibtex]
  8. “３次元ビデオによる人体３次元計測とその応用.” 第189回情報処理学会コンピュータビジョンとイメージメディア研究会, 02-Nov-2013. [bibtex]
  9. “３次元ビデオとその応用.” 第８回豊田工業大学　ジョイントCSセミナー, 07-Sep-2012. [bibtex]
  10. “3D Video Capture and its Applications.” Carnegie Mellon University VASC Seminar, 22-Feb-2010. [bibtex]

受賞

  • MIRU論文評価貢献賞, 2023.
  • The Best Paper Award, at DynaVis2021.
  • The Best Student Paper Award, at BMVC2020.
  • MIRU優秀学生論文賞，2013.
  • The Best Paper Award, at ICCV2013 Workshop on Underwater Vision.
  • The Best Open Source Code Award, 2nd Prize, at CVPR2012.
  • The Best Reviewer Award of The 3rd Pacific-Rim Symposium on Image and Video Technology, 2009.

学位論文

  • “Deformable Mesh Model for 3D Shape and Motion Estimation from Multi-Viewpoint Video,” 博士論文, 京都大学, 2005.
  • “弾性メッシュモデルを用いた高精度3次元形状復元,” 修士論文, 京都大学, 2002.
  • “多視点映像からの高精細3次元形状の復元,” 卒業論文, 京都大学, 2000.