Point Cloud Generation using Multi-View Stereo and One Moving Camera — Facilitating Remote Maintenance in the ITER Fusion Experiment

Author:

Maruyama Takahito1,Ogawa Shota1,Takeda Nobukazu1

Affiliation:

1. National Institutes for Quantum and Radiological Science and Technology

Publisher

The Robotics Society of Japan

Reference7 articles.

1. 5) T. Maruyama, S. Ogawa, K. Noda, M. Edaya, N. Jaklin, S. Tolsma and N. Takeda: “Structural displacement compensation of a gigantic manipulator via deep learning,” 2020 IEEE/SICE International Symposium on System Integration (SII), pp.219–224, 2020.

2. 7) G. Du, K. Wang, S. Lian and K. Zhao: “Vision-based Robotic Grasp Detection From Object Localization, Object Pose Estimation To Grasp Estimation: A Review,” arXiv preprint arXiv:1905.06658, 2019.

3. 8) D. Murray and J.J. Little: “Using Real-Time Stereo Vision for Mobile Robot Navigation,” Auton. Robots, vol.8, no.2, pp.161–171, 2000.

4. 9) J.L. Schonberger and J.M. Frahm: “Structure-from-Motion Revisited,” Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2016, vol.2016-December, pp.4104–4113.

5. 10) Y. Furukawa and C. Hernández: “Multi-view stereo: A tutorial,” Found. Trends Comput. Graph. Vis., vol.9, no.1–2, pp.1–148, 2015.

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