Scale Space Meshing of Raw Data Point Sets

By Julie Digne, Jean-Michel Morel, Charyar-Mehdi Souzani, Claire Lartigue. 2011

112 citations recorded by the source corpus.

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

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. Charyar-Mehdi Souzani
2. Julie Digne
3. Jean-Michel Morel
4. Claire Lartigue

In Computer Graphics and Computer-Aided Design

1. Charyar-Mehdi Souzani
2. Julie Digne
3. Jean-Michel Morel
4. Claire Lartigue

In Geology

1. Nicolas David
2. Jérôme Demantké
3. Adrien Gressin
4. Clément Mallet

Citations in the corpus

• Towards 3D lidar point cloud registration improvement using optimal neighborhood knowledge (2013, background): “…filtering for suitable operator definition (Unnikrishnan and Hebert, 2008; Digne and Morel, 2012), line extraction (Pauly et al., 2003), normal vector estimation (Unnikrishnan et al., 2010) and propagation (Digne et al., 2011) or 3D model compactness analysis (Novatnack and Nishino, 2007).”
• A Survey of Surface Reconstruction from Point Clouds (2017, unknown): “…these methods, as our focus on reconstruction emphasizes how challenging artifacts are dealt with, though we note that there are some recent interpolatory approaches which are equipped to handle moderate levels of noise – see [DMSL11] for a scale-space approach to interpolatory reconstruction.”
• Farman Institute 3D Point Sets - High Precision 3D Data Sets (2011, methodology): “The obtained datasets consist of unoriented and non triangulated 3D point clouds, which can be further processed by the techniques described in [1, 2, 3].”