Point-based multiscale surface representation

By Mark Pauly, Leif Kobbelt, Markus H. Gross. 2006

120 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design

How researchers see this paper

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

In Computational Mechanics

1. Charles Ruizhongtai Qi
2. Leonidas J. Guibas
3. Hao Su
4. Li Yi
5. Matthias Nießner
6. Andreas Geiger
7. Or Litany
8. Angela Dai

In Computer Graphics and Computer-Aided Design

1. Li Yi
2. Leonidas J. Guibas
3. Hao Su
4. Charles Ruizhongtai Qi
5. M. Ovsjanikov
6. Yaron Lipman
7. Matthias Nießner
8. Facundo M'emoli

Citations in the corpus

• PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (2017, methodology): “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, background): “, they try to fit a curve or a surface of some form to the 3D point cloud (Pauly et al., 2006).”