dc.identifier.uri |
http://dx.doi.org/10.15488/3152 |
|
dc.identifier.uri |
http://www.repo.uni-hannover.de/handle/123456789/3182 |
|
dc.contributor.author |
Bureick, Johannes
|
|
dc.contributor.author |
Alkhatib, Hamza
|
|
dc.contributor.author |
Neumann, Ingo
|
|
dc.date.accessioned |
2018-04-19T07:53:03Z |
|
dc.date.available |
2018-04-19T07:53:03Z |
|
dc.date.issued |
2016 |
|
dc.identifier.citation |
Bureick, J.; Alkhatib, H.; Neumann, I.: Robust Spatial Approximation of Laser Scanner Point Clouds by Means of Free-form Curve Approaches in Deformation Analysis. In: Journal of Applied Geodesy 10 (2016), Nr. 1, S. 27-35. DOI: https://doi.org/10.1515/jag-2015-0020 |
|
dc.description.abstract |
In many geodetic engineering applications it is necessary to solve the problem of describing a measured data point cloud, measured, e. g. by laser scanner, by means of free-form curves or surfaces, e. g., with B-Splines as basis functions. The state of the art approaches to determine B-Splines yields results which are seriously manipulated by the occurrence of data gaps and outliers. Optimal and robust B-Spline fitting depend, however, on optimal selection of the knot vector. Hence we combine in our approach Monte-Carlo methods and the location and curvature of the measured data in order to determine the knot vector of the B-Spline in such a way that no oscillating effects at the edges of data gaps occur. We introduce an optimized approach based on computed weights by means of resampling techniques. In order to minimize the effect of outliers, we apply robust M-estimators for the estimation of control points. The above mentioned approach will be applied to a multi-sensor system based on kinematic terrestrial laserscanning in the field of rail track inspection. © 2016 Walter de Gruyter GmbH, Berlin/Munich/Boston. |
eng |
dc.language.iso |
eng |
|
dc.publisher |
Berlin : De Gruyter |
|
dc.relation.ispartofseries |
Journal of Applied Geodesy 10 (2016), Nr. 1 |
|
dc.rights |
Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. Dieser Beitrag ist aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich. |
|
dc.subject |
B-Splines |
eng |
dc.subject |
Deformation |
eng |
dc.subject |
Free-form Curve |
eng |
dc.subject |
Knot Adjustment |
eng |
dc.subject |
Monte-Carlo Resampling Techniques |
eng |
dc.subject |
Robust Parameter Estimation |
eng |
dc.subject |
Deformation |
eng |
dc.subject |
Interpolation |
eng |
dc.subject |
Laser applications |
eng |
dc.subject |
Railroad tracks |
eng |
dc.subject |
Scanning |
eng |
dc.subject |
Ship propellers |
eng |
dc.subject |
Splines |
eng |
dc.subject |
Statistics |
eng |
dc.subject |
B splines |
eng |
dc.subject |
Free form curve |
eng |
dc.subject |
Knot adjustments |
eng |
dc.subject |
Resampling technique |
eng |
dc.subject |
Robust parameter estimation |
eng |
dc.subject |
Monte Carlo methods |
eng |
dc.subject.ddc |
520 | Astronomie, Kartographie
|
ger |
dc.title |
Robust Spatial Approximation of Laser Scanner Point Clouds by Means of Free-form Curve Approaches in Deformation Analysis |
eng |
dc.type |
Article |
|
dc.type |
Text |
|
dc.relation.issn |
1862-9016 |
|
dc.relation.doi |
https://doi.org/10.1515/jag-2015-0020 |
|
dc.bibliographicCitation.issue |
1 |
|
dc.bibliographicCitation.volume |
10 |
|
dc.bibliographicCitation.firstPage |
27 |
|
dc.bibliographicCitation.lastPage |
35 |
|
dc.description.version |
publishedVersion |
|
tib.accessRights |
frei zug�nglich |
|