POINT CLOUD REGISTRATION AND ACCURACY FOR 3D MODELLING - A REVIEW

Authors

  • Ahmad Firdaus Razali Geoinformation Department, Universiti Teknologi Malaysia, Johor Bahru, Malaysia
  • Mohd Farid Mohd Ariff Geoinformation Department, Universiti Teknologi Malaysia, Johor Bahru, Malaysia
  • Zulkepli Majid Geoinformation Department, Universiti Teknologi Malaysia, Johor Bahru, Malaysia

Abstract

Geoinformation is a surveying and mapping field where topography and details on the ground are spatially mapped. The point cloud is one of the data types that is used for measurement and visualisation of Earth features mapping. Point cloud could come from a different source such as terrestrial laser scanned or photogrammetry. The concepts of terrestrial laser scanning and photogrammetry surveying are elaborated in this paper. This paper also presents the method used for point cloud registration; Iterative Closest Point (ICP) and Feature Extraction and Matching (FEM) and the accuracy of laser scanned, and photogrammetric point cloud based on the previous experiments. Experimental analysis conducted in the previous study shows an impressive result on laser scanned point cloud with very mínimum errors compared to photogrammetric point cloud.

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Published

2024-09-24

How to Cite

Ahmad Firdaus Razali, Mohd Farid Mohd Ariff, & Zulkepli Majid. (2024). POINT CLOUD REGISTRATION AND ACCURACY FOR 3D MODELLING - A REVIEW. JOURNAL INFORMATION AND TECHNOLOGY MANAGEMENT (JISTM), 6(24). Retrieved from https://gaexcellence.com/jistm/article/view/2595