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Table to help choose one reconstruction method

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Simon Giraudot 2015-09-23 09:30:00 +02:00
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Documentation/doc/Documentation/Tutorials/Tutorial_reconstruction.txt
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\author Simon Giraudot
Surface reconstruction from point clouds is a wide research topic in
geometry processing. It can be achieved in many different ways
depending on the input properties and the output requirements. This
geometry processing and can be achieved in many different ways. This
tutorials explains how the different algorithms of \cgal to perform
reconstruction in the most relevant way.
@ -19,7 +18,29 @@ reconstruction:
- \ref PkgAdvancingFrontSurfaceReconstruction
- \ref PkgScaleSpaceReconstruction3
\todo Tabular with input/output properties and corresponding method
Choosing one or the other of these methods is strongly dependent on
the input properties and the output requirement. For example, Poisson
always generates closed shapes (surrounding a volume) and requires
normals but does not interpolate input points (the output surface does
not pass exactly through the input points). The following table lists
different properties of the input and output to help you choose which
method is more suited for your work:
<center>
| | Poisson | Advancing front | Scale space |
|------------------------------------------|---------|------------------|------------------|
| Are normals required? | Yes | No | No |
| Is noise handled? | Yes | By preprocessing | Yes |
| Is variable sampling handled? | Yes | Yes | By preprocessing |
| Are input points exactly on the surface? | No | Yes | Yes |
| Is the output always closed? | Yes | No | No |
| Is the output always smooth? | Yes | No | No |
| Is the output always manifold? | Yes | Yes | Optional |
| Is the output always orientable? | Yes | Yes | No |
</center>
\section TutorialsReconstruction_input Reading Input