CLASSIFICATION AND SEGMENTATION OF TERRESTRIAL LASER SCANNER POINT CLOUDS USING LOCAL VARIANCE INFORMATION

By David Belton, Derek D. Lichti. 2006

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Charles Ruizhongtai Qi
2. Li Yi
3. Leonidas J. Guibas
4. Hao Su
5. Ishan Misra
6. Shaoshuai Shi
7. Rohit Girdhar
8. Saining Xie

Citations in the corpus

• PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (2017, background): “Previously several approaches have been developed regarding this [19, 17, 2, 6, 7, 30] either in geometry processing community or photogrammetry and remote sensing community.”
• DIMENSIONALITY BASED SCALE SELECTION IN 3D LIDAR POINT CLOUDS (2012, methodology): “A classical approach consists in performing a Principal Component Analysis (PCA) of the 3D coordinates of VrP (Belton and Lichti, 2006; Gross et al., 2007).”