Research Article
3D Point Cloud Simplification Based on k-Nearest Neighbor and Clustering
Table 1
Statistics of the new simplification technique applied to different 3D point clouds.
| Object | Number of original points | Number of simplified points | Number of original clusters | Number of deleted clusters | Average error | Max error |
| David | 182996 | 177454 | 458 | 20 | 0.000690 | 0.009997 | Fandisk | 103568 | 93809 | 2590 | 310 | 0.000434 | 0.009989 | Bimba | 74764 | 73458 | 3739 | 100 | 0.000002 | 0.005166 | Max Planck | 49089 | 48481 | 2455 | 50 | 0.000024 | 0.009972 | Bunny | 16130 | 15489 | 807 | 60 | 0.0001 | 0.009988 | Genus | 2496 | 2436 | 832 | 30 | 0.000113 | 0.009878 |
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