COMPARATIVE STUDY OF AUTOMATIC PLANE FITTING REGISTRATION FOR MLS SPARSE POINT CLOUDS WITH DIFFERENT PLANE SEGMENTATION METHODS

6 citations as recorded by crossref.

1. Camera calibration by using weighted differential evolution algorithm: a comparative study with ABC, PSO, COBIDE, DE, CS, GWO, TLBO, MVMO, FOA, LSHADE, ZHANG and BOUGUET M. Gunen et al. 10.1007/s00521-020-04944-1
2. Pairwise coarse registration of point clouds in urban scenes using voxel-based 4-planes congruent sets Y. Xu et al. 10.1016/j.isprsjprs.2019.02.015
3. A non-rigid automatic registration method of multi-temporal mobile laser scanning point clouds based on road short marking features F. Wang et al. 10.1088/1361-6501/adb170
4. Planar surface detection for sparse and heterogeneous mobile laser scanning point clouds H. Nguyen et al. 10.1016/j.isprsjprs.2019.03.006
5. Reproducibility Experimentation among Computer-Aided Inspection Software from a Single Point Cloud I. Jbira et al. 10.1155/2019/9140702
6. Toward Building and Civil Infrastructure Reconstruction From Point Clouds: A Review on Data and Key Techniques Y. Xu & U. Stilla 10.1109/JSTARS.2021.3060568