A platform for research: civil engineering, architecture and urbanism
Registration‐free point cloud generation technique using rotating mirrors
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.
Registration‐free point cloud generation technique using rotating mirrors
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.
Registration‐free point cloud generation technique using rotating mirrors
Li, Fangxin (author) / Li, Heng (author) / Kim, Min‐Koo (author)
Computer‐Aided Civil and Infrastructure Engineering ; 37 ; 204-226
2022-02-01
23 pages
Article (Journal)
Electronic Resource
English
Automatic Point Cloud Registration Using a Single Octagonal Lamp Pole
Online Contents | 2016
|Towards 3D lidar point cloud registration improvement using optimal neighborhood knowledge
Online Contents | 2013
|A Modified Iterative Closest Point Algorithm for 3D Point Cloud Registration
Online Contents | 2016
|An Automatic Robust Point Cloud Registration on Construction Sites
British Library Conference Proceedings | 2017
|