Mesh Segmentation - A Comparative Study
By Marco Attene, Sagi Katz, Michela Mortara, Giuseppe Patanè, Michela Spagnuolo, Ayellet Tal. Shape Modeling International Conference, 2006
325 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/e809382f70e7725881a1060671989a32912527f8
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
- Leonidas J. Guibas
- Li Yi
- Hao Su
- Charles Ruizhongtai Qi
- Matthias Nießner
- Angel X. Chang
- Andreas Geiger
- Kaichun Mo
In Computer Graphics and Computer-Aided Design
- Leonidas J. Guibas
- Li Yi
- Hao Su
- Ariel Shamir
- Alla Sheffer
- Angel X. Chang
- Michela Spagnuolo
- Daniela Giorgi
In Computer Vision and Pattern Recognition
- Leonidas J. Guibas
- Luc Van Gool
- Jitendra Malik
- Xiaogang Wang
- Dacheng Tao
- Ming-Hsuan Yang
- Andrea Vedaldi
- Trevor Darrell
Citations in the corpus
- Technical Section: Discrete Laplace-Beltrami operators for shape analysis and segmentation (2009, methodology): “To evaluate the quality of this set of segmentations, we follow the guidelines given in [2].”
- Model Composition from Interchangeable Components (2007, methodology): “There is a large number of methods for meaningful segmentation of individual meshes, surveyed by Shamir [21] and Attene et al. [ 1 ].”
- PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding (2018, methodology): “[1] compared 5 mesh segmentation algorithms using 11 3D surface meshes and presented side-by-side qualitative comparison.”
- A survey on Mesh Segmentation Techniques (2008, background): “A recent comparative study on the results of some part-typesegmentationtechniquecanbefoundin[AKM ∗ 06].”