STOCHASTIC SURFACE MESH RECONSTRUCTION
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...
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Format: | Article |
Language: | English |
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Copernicus Publications
2018-05-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2/805/2018/isprs-archives-XLII-2-805-2018.pdf |
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author | M. Ozendi D. Akca H. Topan |
author_facet | M. Ozendi D. Akca H. Topan |
author_sort | M. Ozendi |
collection | DOAJ |
description | 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. |
first_indexed | 2024-12-22T20:49:01Z |
format | Article |
id | doaj.art-45e53b7d25ad4aaf8ea8be63f442337d |
institution | Directory Open Access Journal |
issn | 1682-1750 2194-9034 |
language | English |
last_indexed | 2024-12-22T20:49:01Z |
publishDate | 2018-05-01 |
publisher | Copernicus Publications |
record_format | Article |
series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
spelling | doaj.art-45e53b7d25ad4aaf8ea8be63f442337d2022-12-21T18:13:07ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342018-05-01XLII-280581210.5194/isprs-archives-XLII-2-805-2018STOCHASTIC SURFACE MESH RECONSTRUCTIONM. Ozendi0D. Akca1H. Topan2BEU, Department of Geomatics Engineering, 80626 Zonguldak, TurkeyIsik University, Department of Civil Engineering, 34980 Sile, Istanbul, TurkeyBEU, Department of Geomatics Engineering, 80626 Zonguldak, TurkeyA 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.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2/805/2018/isprs-archives-XLII-2-805-2018.pdf |
spellingShingle | M. Ozendi D. Akca H. Topan STOCHASTIC SURFACE MESH RECONSTRUCTION The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
title | STOCHASTIC SURFACE MESH RECONSTRUCTION |
title_full | STOCHASTIC SURFACE MESH RECONSTRUCTION |
title_fullStr | STOCHASTIC SURFACE MESH RECONSTRUCTION |
title_full_unstemmed | STOCHASTIC SURFACE MESH RECONSTRUCTION |
title_short | STOCHASTIC SURFACE MESH RECONSTRUCTION |
title_sort | stochastic surface mesh reconstruction |
url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2/805/2018/isprs-archives-XLII-2-805-2018.pdf |
work_keys_str_mv | AT mozendi stochasticsurfacemeshreconstruction AT dakca stochasticsurfacemeshreconstruction AT htopan stochasticsurfacemeshreconstruction |