Evaluation of Point Cloud Processing Software for 3D Reconstruction
Shucheng Ge,
Zhijin Wang,
Ying Lo,
Jingjing Zhang,
Ran Zang and
Cheng Zhang ()
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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
A chapter in Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate, 2021, pp 1267-1279 from Springer
Abstract:
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.
Keywords: Point cloud processing; Comparative study; 3D reconstruction (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-8892-1_89
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DOI: 10.1007/978-981-15-8892-1_89
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