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...

Full description

Bibliographic Details
Main Authors: M. Ozendi, D. Akca, H. Topan
Format: Article
Language:English
Published: Copernicus Publications 2018-05-01
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
_version_ 1819175070581391360
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