Abstract | ||
---|---|---|
We describe a new method for surface reconstruction and smoothing based on unorganized noisy point clouds without normals. The output of the method is a refined triangular mesh that approximates the original point cloud while preserving the fine details present in the underlying surface. The method has five steps: noise removal, clustering, data reduction, initial reconstruction, and mesh refinement. All these steps contain novel features. We also present theoretical justifications for the heuristics used in the reconstruction step. |
Year | DOI | Venue |
---|---|---|
2004 | 10.1590/S0104-65002004000100005 | J. Braz. Comp. Soc. |
Keywords | Field | DocType |
surface reconstruction,triangular mesh,point cloud | Surface reconstruction,Data mining,Computer science,Algorithm,Theoretical computer science,Smoothing,Heuristics,Cluster analysis,Point cloud,Triangle mesh,Salient,Data reduction | Journal |
Volume | Issue | Citations |
9 | 3 | 13 |
PageRank | References | Authors |
0.63 | 16 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Boris Mederos | 1 | 76 | 7.23 |
Luiz Velho | 2 | 1162 | 120.74 |
Luiz Henrique de Figueiredo | 3 | 629 | 62.99 |