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3D reconstruction considering calculation time reduction for linear trajectory shooting and accuracy verification with simulator

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Abstract

Photogrammetry is a three-dimensional (3D) reconstruction from images. In photogrammetry, when each image captures the features of the target object for 3D reconstruction, a more highly accurate 3D reconstruction can be obtained in a shorter time from a small number of images. For this reason, effective images for 3D reconstruction must be selected. In this paper, we generate test images by constructing a virtual environment and changing the shooting conditions based on the simulation for this image selection. In particular, we focus on linear trajectory shooting, in which the camera moves on a straight rail and obtains images. We verify the 3D reconstruction considering the calculation time reduction based on effective image selection. The experimental result shows that the camera pose estimation can be improved using images obtained at multiple shooting angles in the case of linear trajectory shooting. The additional experimental result reveals that the calculation time for the reconstruction result is reduced by applying the images selected at regular intervals.

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Acknowledgements

This work was supported by the Nuclear Energy Science & Technology and Human Resource Development Project (through concentrating wisdom) from the Japan Atomic Energy Agency/Collaborative Laboratories for Advanced Decommissioning Science.

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Authors and Affiliations

  1. Sapporo University, Nishioka 3-7-3-1, Toyohira-ku, Sapporo, Hokkaido, 062-8520, Japan

    Keita Nakamura

  2. Japan Atomic Energy Agency, Nakamaru 1-22, Yamadaoka, Naraha-machi, Futaba-gun, Fukushima, 979-0513, Japan

    Toshihide Hanari & Kuniaki Kawabata

  3. The University of Aizu, Tsuruga, Ikki-machi, Aizuwakamatsu, Fukushima, 965-8580, Japan

    Keita Baba

Authors
  1. Keita Nakamura
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  2. Toshihide Hanari
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  3. Kuniaki Kawabata
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Correspondence to Keita Nakamura.

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This work was presented in part at the joint symposium of the 27th International Symposium on Artificial Life and Robotics, the 7th International Symposium on BioComplexity, and the 5th International Symposium on Swarm Behavior and Bio-Inspired Robotics (Online, January 25- 27, 2022).

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Nakamura, K., Hanari, T., Kawabata, K. et al. 3D reconstruction considering calculation time reduction for linear trajectory shooting and accuracy verification with simulator. Artif Life Robotics 28, 352–360 (2023). https://doi.org/10.1007/s10015-022-00835-x

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  • DOI: https://doi.org/10.1007/s10015-022-00835-x

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