Registration-free point cloud generation technique using rotating mirrors

Fangxin Li, Heng Li, Min Koo Kim

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Point cloud registration is generally required to combine multiple scans from various locations to generate a complete 3D reconstruction model. However, this registration process is error-prone and time-consuming. To deal with this problem, this study presents a novel registration-free point cloud generation method for the 3D reconstruction of small-scale components and interior rooms, using rotating flat mirrors. First, a geometrical model is developed to define the relationship between the laser scanner, mirrors, and target structure. Second, the optimal positions of the laser scanner and mirrors, as well as the optimal mirror sizes, are determined from the developed geometrical model. To validate the proposed technique, simulation tests and experimental validations are conducted on a precast concrete slab and an interior room. The validation results show that the proposed technique facilitates efficient and accurate registration-free 3D point cloud generation without changing the laser scanner location, demonstrating its potential in the construction industry.

Original languageEnglish
JournalComputer-Aided Civil and Infrastructure Engineering
DOIs
Publication statusAccepted/In press - 2021

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Computational Theory and Mathematics

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