CHANGE DETECTION ON POINTS CLOUD DATA ACQUIRED W ITH A GROUND LASER SCANNER

By D. Girardeau-Montauta, Michel Rouxa, Raphaël Marcb, Guillaume Thibaultb. 2005

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Accurate 3D comparison of complex topography with terrestrial laser scanner: Application to the Rangitikei canyon (N-Z) (2013, methodology): “ the surface occurs between surveys, the occlusion pattern might change and induces artificially large surface changes in places which are "suddenly" visible from the scanner position (e.g. Girardeau-Montaut et al., 2005; Zeibak and Filin, 2007). Sharp features will also generate spurious ”
Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring (2019, methodology): “Early studies used the Hausdorff distance from cloud to cloud (C2C) as ametric to identify changes in three dimensions [135].”
Geometric distortion metrics for point cloud compression (2017, background): “To solve this problem, point-to-point distances have been considered [2].”