Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 805-812, 2018
https://doi.org/10.5194/isprs-archives-XLII-2-805-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
30 May 2018
STOCHASTIC SURFACE MESH RECONSTRUCTION
M. Ozendi1, D. Akca2, and H. Topan1 1BEU, Department of Geomatics Engineering, 80626 Zonguldak, Turkey
2Isik University, Department of Civil Engineering, 34980 Sile, Istanbul, Turkey
Keywords: TLS point cloud, point error model, error ellipsoid, variance-covariance propagation, surface triangulation Abstract. A generic and practical methodology is presented for 3D surface mesh reconstruction from the terrestrial laser scanner (TLS) derived point clouds. It has two main steps. The first step deals with developing an anisotropic point error model, which is capable of computing the theoretical precisions of 3D coordinates of each individual point in the point cloud. The magnitude and direction of the errors are represented in the form of error ellipsoids. The following second step is focused on the stochastic surface mesh reconstruction. It exploits the previously determined error ellipsoids by computing a point-wise quality measure, which takes into account the semi-diagonal axis length of the error ellipsoid. The points only with the least errors are used in the surface triangulation. The remaining ones are automatically discarded.
Conference paper (PDF, 3435 KB)

Citation: Ozendi, M., Akca, D., and Topan, H.: STOCHASTIC SURFACE MESH RECONSTRUCTION, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 805-812, https://doi.org/10.5194/isprs-archives-XLII-2-805-2018, 2018.

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