SUPERVISED OUTLIER DETECTION IN LARGE-SCALE MVS POINT CLOUDS FOR 3D CITY MODELING APPLICATIONS

9 citations as recorded by crossref.

1. Outlier detection using an ensemble of clustering algorithms B. Ray et al. 10.1007/s11042-021-11671-9
2. Type-based outlier removal framework for point clouds L. Ge & J. Feng 10.1016/j.ins.2021.08.090
3. The road toward smart city infrastructures: A review on 3d facade reconstruction using images Y. Arhrib et al. 10.1051/e3sconf/202450202007
4. Improvement of 3D reconstruction based on a new 3D point cloud filtering algorithm S. El Hazzat & M. Merras 10.1007/s11760-022-02474-y
5. Feature Template–Based Parametric Swept Geometry Generation from Point Cloud Data: Pipeline Design in Building Systems T. Kang & J. Kim 10.1061/(ASCE)PS.1949-1204.0000693
6. An ensemble approach to outlier detection using some conventional clustering algorithms A. Saha et al. 10.1007/s11042-020-09628-5
7. Out-of-core outlier removal for large-scale indoor point clouds L. Ge & J. Feng 10.1016/j.gmod.2022.101142
8. Filtering Organized 3D Point Clouds for Bin Picking Applications M. Franaszek et al. 10.3390/app14030961
9. Inlier Point Preservation in Outlier Points Removed from the ALS Point Cloud M. Zeybek 10.1007/s12524-021-01397-4