Streaming meshes
By Martin Isenburg, Peter Lindstrom. 2005
206 citations recorded by the source corpus.
Subfields: Computer Graphics and Computer-Aided Design, Museology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Graphics and Computer-Aided Design
- Enrique Dunn
- Jared Heinly
- Nathan Paczan
- Mike Roberts
- Johannes L. Schönberger
- Bruno Lévy
- Jan-Michael Frahm
- Facundo M'emoli
In Museology
Citations in the corpus
- Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding (2020, background): “These meshes cannot be rendered at interactive rates, even on modern GPUs, without the use of advanced acceleration structures [5, 35, 50].”
- Reconstructing the World* in Six Days *(As Captured by the Yahoo 100 Million Image Dataset) (2015, methodology): “The efficiency of streaming methods for big data has long been known, for example, in mesh processing [14].”
- Mesh parameterization: theory and practice (2007, unknown): “Many different applications can use these eigenfunctions (some of them replace the discrete Laplacian with a combinatorial Laplacian, that only takes the mesh connections into account) : • matrix re-ordering [Fiedler, 1973] and mesh re-ordering [Isenburg and Lindstrom, 2005] • mesh compression [Karn”
- Laplace-Beltrami Eigenfunctions Towards an Algorithm That "Understands" Geometry (2006, methodology): “Spectral graph theory was used for instance in [15] to compute an ordering of vertices in a mesh that facilitates out-of-core processing.”