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The basic idea is that, using the distribution of the samples, one can define a function which assigns a measure of the sampling density to each point in 3D. During the reconstruction phase, this function is sampled at the vertex positions, so that the output mesh "carries" a (per-vertex) scalar function
Then, as a post-process, one trims off the parts of the surface where the sampling density is below a prescribed value.
The basic idea is that, using the distribution of the samples, one can define a function which assigns a measure of the sampling density to each point in 3D. During the reconstruction phase, this function is sampled at the vertex positions, so that the output mesh "carries" a (per-vertex) scalar function
Then, as a post-process, one trims off the parts of the surface where the sampling density is below a prescribed value.
Hello, sorry to bother you. I would like to know your basic algorithm principle when implementing Surface Trimmer.
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