by julienM, published
This was an exercise in large model simplification. The original has 28 mio. triangles, this simplified version has been reduced to 460 000. Filesize went from 1.4 GB to 21 MB.
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Recommended file: Lucy_3M_O10_20%.stl
Update2: A print of the head at 50% scale, printed at a layer height of 0.3, looks very nice. At this scale, the statue would be 70 cm high. I'm now very motivated to build a Rostock derivative, although that would normally only allow 40 cm height.
Update: The mesh was sampled with 3M points, then an out of core Poisson reconstruction applied, followed by quadric edge collapse decimation (to 20%, hence the filename). The result is a 22 MB Mesh much better than the Lucy_simplified, at no extra size. I really need to document this all logically, this might not be the best place for it.
Taken from the Stanford 3D scanning site (graphics.stanford.edu/data/3Dscanrep/). The Stanford CGL asks that this model not be transfomed, morphed etc.
The original file was not manifold, making a straightforward simplification in MeshLab (see www.thingiverse.com/thing:40632) difficult. As a workaround, the statue was subsampled to 500K points in CloudCompare (www.danielgm.net/cc/). A reconstrucion of the resulting point-cloud should be possible with the poisson-reconstruction function in CloudCompare. As I am more familiar in Meshlab, I used that instead.
The workflow for a point-cloud to volume conversion is as follows: Filters > Point Set > Estimate radius from density Filters > Point Set > Compute normals for point sets Filters > Remeshing, etc > Surface Reconstruction: Poisson (I used Octree Depth: 9) Netfabb repair, due to some small errors
Update: I've uploaded the script for a surface reconstruction in MeshLab (.mlx): Filters > Show current filter script Open script > "Surface reconstruction.mlx"