Feature Preserving Mesh Generation from 3D Point Clouds
dc.contributor.author | Nader Salman | en_US |
dc.contributor.author | Mariette Yvinec | en_US |
dc.contributor.author | Quentin Merigot | en_US |
dc.date.accessioned | 2015-02-23T17:15:37Z | |
dc.date.available | 2015-02-23T17:15:37Z | |
dc.date.issued | 2010 | en_US |
dc.description.abstract | We address the problem of generating quality surface triangle meshes from 3D point clouds sampled on piecewise smooth surfaces. Using a feature detection process based on the covariance matrices of Voronoi cells, we first extract from the point cloud a set of sharp features. Our algorithm also runs on the input point cloud a reconstruction process, such as Poisson reconstruction, providing an implicit surface. A feature preserving variant of a Delaunay refinement process is then used to generate a mesh approximating the implicit surface and containing a faithful representation of the extracted sharp edges. Such a mesh provides an enhanced trade-off between accuracy and mesh complexity. The whole process is robust to noise and made versatile through a small set of parameters which govern the mesh sizing, approximation error and shape of the elements. We demonstrate the effectiveness of our method on a variety of models including laser scanned datasets ranging from indoor to outdoor scenes. | en_US |
dc.description.number | 5 | en_US |
dc.description.seriesinformation | Computer Graphics Forum | en_US |
dc.description.volume | 29 | en_US |
dc.identifier.doi | 10.1111/j.1467-8659.2010.01771.x | en_US |
dc.identifier.pages | 1623-1632 | en_US |
dc.identifier.uri | https://diglib.eg.org/handle/10.2312/CGF.v29i5pp1623-1632 | en_US |
dc.identifier.uri | https://diglib.eg.org/handle/10.2312/CGF.v29i5pp1623-1632 | |
dc.title | Feature Preserving Mesh Generation from 3D Point Clouds | en_US |