Mesh parameterization: theory and practice

By Kai Hormann, Bruno Lévy, Alla Sheffer. 2007

415 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. Karthik Ramani
2. Qi-Xing Huang
3. Zhangjie Cao
4. Leif Kobbelt
5. David Bommes
6. Henrik Zimmer
7. Leonidas J. Guibas
8. Olga Sorkine-Hornung

In Computer Graphics and Computer-Aided Design

1. Qi-Xing Huang
2. Zhangjie Cao
3. Karthik Ramani
4. Leif Kobbelt
5. David Bommes
6. Henrik Zimmer
7. Olga Sorkine-Hornung
8. Yaron Lipman

Citations in the corpus

• A Papier-Mache Approach to Learning 3D Surface Generation (2018, neutral): “Establishing a connection between the surface of the 3D shape and a 2D domain, or surface parameterization, is a long-standing problem in geometry processing, with applications in texture mapping, re-meshing, and shape correspondence [14].”
• Mixed-integer quadrangulation (2009, methodology): “Since there are several nice surveys [Alliez et al. 2005; Hormann et al. 2007], we will discuss here only the most related works.”
• 3D Object Classification via Spherical Projections (2017, background): “, spherical parameterizations of geometric objects [7], which is free of occlusions.”
• GWCNN: A Metric Alignment Layer for Deep Shape Analysis (2017, neutral): “Surface parameterization techniques [HLS08] typically require manifold surfaces and do not aim to embed similar shapes consistently.”