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Comparison of 3D Reconstruction Methods: Image-Based and Laser-Scanning-Based

In: Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Ying Lo

    (Xi’an Jiaotong-Liverpool University)

  • Hong Huang

    (Xi’an Jiaotong-Liverpool University)

  • Shucheng Ge

    (University of Liverpool)

  • Zhijin Wang

    (University of Liverpool)

  • Cheng Zhang

    (Xi’an Jiaotong-Liverpool University)

  • Lei Fan

    (Xi’an Jiaotong-Liverpool University)

Abstract

Three-dimensional (3D) reconstruction methods have been utilized to describe the geometric dimensions of objects, which is essential for construction progress monitoring for management purposes. The two major approaches are laser-scanning-based and image-based methods. The acquired point cloud models are the primary data of the 3D reconstruction and can be used to generate 3D models. Thus, the accuracy of the point clouds data is an essential factor in producing a precise model. This project aims to investigate the cost-effectiveness of both methods by comparing the results in terms of accuracy, cost and time efficiency, and flexibility. Case studies are carried out on the underground passage of the university connecting the North and South campuses. The results showed that the accuracy for the laser-scanning-based method is insignificantly better than the image-based method in term of accuracy. However, the laser-scanning-based method requires an expensive instrument and skillful operator to obtain a precise model. Image-based method are able to process the data automatically, and it is a relatively cheap method that can be utilized by any person. In term of flexibility, the overall performances of the image-based method are reasonably better than the laser-scanning based method.

Suggested Citation

  • Ying Lo & Hong Huang & Shucheng Ge & Zhijin Wang & Cheng Zhang & Lei Fan, 2021. "Comparison of 3D Reconstruction Methods: Image-Based and Laser-Scanning-Based," Springer Books, in: Gui Ye & Hongping Yuan & Jian Zuo (ed.), Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate, pages 1257-1266, Springer.
    • Handle: RePEc:spr:sprchp:978-981-15-8892-1_88
    DOI: 10.1007/978-981-15-8892-1_88
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    Cited by:

    1. Jianqiang Liu & Zhengyu Guo & Peng Ping & Hao Zhang & Quan Shi, 2024. "Channel Interaction and Transformer Depth Estimation Network: Robust Self-Supervised Depth Estimation Under Varied Weather Conditions," Sustainability, MDPI, vol. 16(20), pages 1-20, October.

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