Description: We introduce a noise-resistant algorithm for reconstructing a watertight surface from point cloud data.
It forms a Delaunay tetrahedralization, then uses a variant of spectral graph partitioning to decide whether each
tetrahedron is inside or outside the original object. The reconstructed surface triangulation is the set of triangular
faces where inside and outside tetrahedra meet. Because the spectral partitioner makes local decisions based on
a global view of the model, it can ignore outliers, patch holes and undersampled regions, and surmount ambiguity
due to measurement errors. Our algorithm can optionally produce a manifold surface. We present empirical
evidence that our implementation is substantially more robust than several closely related surface reconstruction
programs. Platform: |
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Author:madison |
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Description: poisson表面重建的代码，可以由点云数据生成曲面-poisson surface reconstruction of the code, you can generate surfaces from point cloud data Platform: |
Size: 109568 |
Author:yumiao |
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Search - surface reconstruction from point cloud