A Study on the Effects of Photogrammetry by the Camera Angle of View Using Computer Simulation
-
Published:2024-02-20
Issue:1
Volume:36
Page:115-124
-
ISSN:1883-8049
-
Container-title:Journal of Robotics and Mechatronics
-
language:en
-
Short-container-title:JRM
Author:
Nakamura Keita1, , Hanari Toshihide2, Matsumoto Taku2ORCID, Kawabata Kuniaki2ORCID, Yashiro Hiroshi2
Affiliation:
1. Sapporo University, 3-7-3-1 Nishioka, Toyohira-ku, Sapporo, Hokkaido 062-8520, Japan 2. Japan Atomic Energy Agency, 1-22 Nakamaru, Yamadaoka, Naraha-machi, Futaba-gun, Fukushima 979-0513, Japan
Abstract
During the decommissioning activities, a movie was shot inside the reactor building during the investigation of the primary containment vessel by applying photogrammetry, which is one of the methods for three-dimensional (3D) reconstruction from images, to the images from this movie, it is feasible to perform 3D reconstruction of the environment around the primary containment vessel. However, the images from this movie may not be suitable for 3D reconstruction because they were shot remotely by robots owing to limited illumination, high-dose environments, etc. Moreover, photogrammetry has the disadvantage of easily changing 3D reconstruction results by simply changing the shooting conditions. Therefore, this study investigated the accuracy of the 3D reconstruction results obtained by photogrammetry with changes in the camera angle of view under shooting conditions. In particular, we adopted 3D computer graphics software to simulate shooting target objects for 3D reconstruction in a dark environment while illuminating them with light for application in decommissioning activities. The experimental results obtained by applying artificial images generated by simulation to the photogrammetry method showed that more accurate 3D reconstruction results can be obtained when the camera angle of view is neither too wide nor too narrow when the target objects are shot and surrounded. However, the results showed that the accuracy of the obtained results is low during linear trajectory shooting when the camera angle of view is wide.
Publisher
Fuji Technology Press Ltd.
Reference19 articles.
1. B. M. Yamauchi, “PackBot: A Versatile Platform for Military Robotics,” Proc. of Unmanned Ground Vehicle Technology VI, Vol.5422, pp. 228-237, 2004. https://doi.org/10.1117/12.538328 2. K. Nagatani, S. Kiribayashi, Y. Okada, S. Tadokoro, T. Nishimura, T. Yoshida, E. Koyanagi, and Y. Hada, “Redesign of rescue mobile robot Quince,” Proc. of the 2011 IEEE Int. Symp. on Safety, Security, and Rescue Robotics, pp. 13-18, 2011. https://doi.org/10.1109/SSRR.2011.6106794 3. R. Mur-Artal and J. D. Tardós, “ORB-SLAM2: An open-source slam system for monocular, stereo, and RGB-D cameras,” IEEE Trans. on Robotics, Vol.33, Issue 5, pp. 1255-1262, 2017. https://doi.org/10.1109/TRO.2017.2705103 4. S. Ullman, “The interpretation of structure from motion,” Proc. of the Royal Society B, Vol.203, Issue 1153, pp. 405-426, 1979. https://doi.org/10.1098/rspb.1979.0006 5. S. M. Seitz, B. Curless, J. Diebel, D. Scharstein, and R. Szeliski, “A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms,” Proc. of the 2006 IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR’06), pp. 519-528, 2006. https://doi.org/10.1109/CVPR.2006.19
|
|