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Laplacian smoothing

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Algorithm to smooth a polygonal mesh This article is about the mesh smoothing algorithm. For the multinomial shrinkage estimator, also called Laplace smoothing or add-one smoothing, see additive smoothing.

Laplacian smoothing is an algorithm to smooth a polygonal mesh. For each vertex in a mesh, a new position is chosen based on local information (such as the position of neighbours) and the vertex is moved there. In the case that a mesh is topologically a rectangular grid (that is, each internal vertex is connected to four neighbours) then this operation produces the Laplacian of the mesh.

More formally, the smoothing operation may be described per-vertex as:

x ¯ i = 1 N j = 1 N x ¯ j {\displaystyle {\bar {x}}_{i}={\frac {1}{N}}\sum _{j=1}^{N}{\bar {x}}_{j}}

Where N {\displaystyle N} is the number of adjacent vertices to node i {\displaystyle i} , x ¯ j {\displaystyle {\bar {x}}_{j}} is the position of the j {\displaystyle j} -th adjacent vertex and x ¯ i {\displaystyle {\bar {x}}_{i}} is the new position for node i {\displaystyle i} .

See also

  • Tutte embedding, an embedding of a planar mesh in which each vertex is already at the average of its neighbours' positions

References

  1. Herrmann, Leonard R. (1976), "Laplacian-isoparametric grid generation scheme", Journal of the Engineering Mechanics Division, 102 (5): 749โ€“756, doi:10.1061/JMCEA3.0002158.
  2. Sorkine, O., Cohen-Or, D., Lipman, Y., Alexa, M., Rรถssl, C., Seidel, H.-P. (2004). "Laplacian Surface Editing". Proceedings of the 2004 Eurographics/ACM SIGGRAPH Symposium on Geometry Processing. SGP '04. Nice, France: ACM. pp. 175โ€“184. doi:10.1145/1057432.1057456. ISBN 3-905673-13-4. S2CID 1980978. Retrieved 1 December 2013.{{cite book}}: CS1 maint: multiple names: authors list (link)
  3. Hansen, Glen A.; Douglass, R. W; Zardecki, Andrew (2005). Mesh enhancement. Imperial College Press. p. 404.
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