L1-medial skeleton of point cloud

By Hui Huang, Shihao Wu, Daniel Cohen-Or, Minglun Gong, Hao Zhang, Guiqing Li, Baoquan Chen. ACM Transactions on Graphics, 2013

361 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/c333ea0d844f3638d7a20e2d778ce09bdcad2c0a

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. Kang Yin
2. Simon Fraser
3. Xian-Feng Han

In Computer Graphics and Computer-Aided Design

1. Kang Yin
2. Simon Fraser
3. Xian-Feng Han

In Environmental Engineering

1. Kang Yin
2. Simon Fraser

Citations in the corpus

• P2P-NET: Bidirectional Point Displacement Net for Shape Transform (methodology): “…devices, point cloud data is widely captured, accumulated, and processed by many useful techniques, e.g., in point cloud filtering [Mitra and Nguyen 2003], resampling [Huang et al. 2013b], and surface reconstruction [Berger et al. 2017; Carr et al. 2001; Kazhdan and Hoppe 2013], among others.”
• A review of algorithms for filtering the 3D point cloud (2017, positive): “Inspired by the concept of L 1 median [47–50] from statistics, Lipman et al. [51] introduced a parameterization-free projection operator, that was, Locally Optimal Projection (LOP) operator [52].”