Abstract
We propose a novel method that uses simulated annealing to create an optimal surface mesh by selecting a subset of a 3D point cloud and a triangulation that reliably represents the actual topology of the scene. This method provides a number of advantages: it copes well with noisy data, it produces a simplified mesh, particularly for scenes that contain many planes and, unlike greedy search techniques, it is much more likely to converge to a global minimum.
| Translated title of the contribution | Automated Meshing of Sparse 3D Point Clouds |
|---|---|
| Original language | English |
| Title of host publication | Unknown |
| Publisher | Association for Computing Machinery |
| Publication status | Published - Jul 2003 |
Bibliographical note
Conference Proceedings/Title of Journal: Proceedings of the SIGGRAPH 2003 Conference on Sketches & Applications. San Diego, USAFingerprint
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