Stochastic surface mesh reconstruction
Yükleniyor...
Dosyalar
Tarih
2018-05-30
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
International Society for Photogrammetry and Remote Sensing
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
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.
Açıklama
This research was funded by TUBITAK – The Scientific and Technological Research Council of Turkey (Project ID: 115Y239) and by the Scientific Research Projects of Bülent Ecevit University (Project ID: 2015-47912266-01)
Anahtar Kelimeler
Surfaces, Surface reconstruction, Mesh denoising, Error ellipsoid, Point error model, Surface triangulation, TLS point cloud, Variance-covariance propagation, Errors, Mesh generation, Stochastic systems, Surveying instruments, Triangulation, Error ellipsoids, Error model, Point cloud
Kaynak
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
42
Sayı
2
Künye
Özendi, M., Akça, M. D. & Topan, H. (2018). Stochastic surface mesh reconstruction. Paper presented at the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 42(2), 805-812. doi:10.5194/isprs-archives-XLII-2-805-2018
