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Evaluation of Point Cloud Processing Software for 3D Reconstruction

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

Author

Listed:
  • Shucheng Ge

    (University of Liverpool)

  • Zhijin Wang

    (Xi’an Jiaotong-Liverpool University)

  • Ying Lo

    (University of Liverpool)

  • Jingjing Zhang

    (Xi’an Jiaotong-Liverpool University)

  • Ran Zang

    (Xi’an Jiaotong-Liverpool University)

  • Cheng Zhang

    (University of Liverpool)

Abstract

In 3D reconstruction, point cloud plays an essential role in holding the geometric information of the target object. After acquiring the data through the 3D laser scanner or image-based method, several point cloud software currently available on the market is selected to analyze and process the point cloud. In this paper, efforts are made to convert the point cloud into a simplified 3D model or a geometric mesh model. Then, each software used in the Scan-to-BIM process is evaluated exhaustively. Functional assessments for the software application include formats that can be imported and exported, the ability to process and analyze data, and the capability to model 3D models or meshes.

Suggested Citation

  • Shucheng Ge & Zhijin Wang & Ying Lo & Jingjing Zhang & Ran Zang & Cheng Zhang, 2021. "Evaluation of Point Cloud Processing Software for 3D Reconstruction," 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 1267-1279, Springer.
    • Handle: RePEc:spr:sprchp:978-981-15-8892-1_89
    DOI: 10.1007/978-981-15-8892-1_89
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