ISPRS International Journal of Geo-Information · 2021 · 12 citations · 19 references
ArchitectureHeritage Conservation3D ModelingHeritage SurveyMachine Vision3D Imaging3D ReconstructionCamera GeometryCamera ProjectionPhotogrammetryPoint Cloud Processing3D Cultural Heritage Documentation3D Laser ScanningCultural DocumentationLaser ScannersLaser ScanningOrthogonal Projection PrinciplesProjectionsSimulation Experiment Design
The 3D laser scanning technique is important for cultural heritage documentation. The laser itself normally does not carry any color information, so it usually requires an embedded camera system to colorize the point cloud. However, when the embedded camera system fails to perform properly under some external interferences, a post-scan colorization method is always desired to improve the point cloud visuality. This paper presents a simple but efficient point cloud colorization method based on a point-to-pixel orthogonal projection under an assumption that the orthogonal and perspective projections can produce similar effects for a planar feature as long as the target-to-camera distance is relatively short (within several meters). This assumption was verified by a simulation experiment, and the results show that only approximately 5% of colorization error was found at a target-to-camera distance of 3 m. The method was further verified with two real datasets collected for the cultural heritage documentation. The results showed that the visuality of the point clouds for two giant historical buildings had been greatly improved after applying the proposed method.
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An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation
Wuming Zhang, Jianbo Qi, Peng Wan et al. · Remote Sensing · 2016 · 1.5K citations · Full text
DIMENSIONALITY BASED SCALE SELECTION IN 3D LIDAR POINT CLOUDS
Jérôme Demantke, Clément Mallet, Nicolás David et al. · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · 2012 · 365 citations · Full text
Dennis Edler, Julian Keil, Timo Wiedenlübbert et al. · KN - Journal of Cartography and Geographic Information · 2019 · 131 citations · Full text