Skeleton extraction by mesh contraction
By Oscar Kin-Chung Au, Chiew-Lan Tai, Hung-Kuo Chu, Daniel Cohen-Or, Tong-Yee Lee. ACM Transactions on Graphics, 2008
615 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/a8af16d0e5679fb53d07731cb90b9c91b559e8df
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
- Andrea Tagliasacchi
- Hao Zhang
- Daniel Cohen-Or
- Viorica Patraucean
- Iro Armeni
- Thomas A. Funkhouser
- Olga Sorkine-Hornung
- Leonidas J. Guibas
In Computer Graphics and Computer-Aided Design
- Andrea Tagliasacchi
- Daniel Cohen-Or
- Hao Zhang
- Viorica Patraucean
- Olga Sorkine-Hornung
- Thomas A. Funkhouser
- Leonidas J. Guibas
- P. Heng
In Computer Vision and Pattern Recognition
- Andrea Tagliasacchi
- Hao Zhang
- Daniel Cohen-Or
- Jitendra Malik
- Luc Van Gool
- Viorica Patraucean
- Mohammad Nahangi
- Ioannis K. Brilakis
Citations in the corpus
- Curve skeleton extraction from incomplete point cloud (2009, methodology): “Skeletons are effective shape abstractions that have been used in various applications including mesh segmentation [Li et al. 2001; Au et al. 2008], animation [Lewis et al.”
- State of research in automatic as-built modelling (2015, background): “Another distinctive feature commonly used in pipe modelling is the geometric skeleton [12,29,131].”
- Point Cloud Skeletons via Laplacian Based Contraction (2010, neutral): “[4], but on point cloud data; see Fig.”