What is it about?
A generic point error model was developed for the TLS derived point clouds. The complete workflow begins with estimation of angular a priori precision values, which are the scanner variant numbers. The direct TLS observations are the range (ρ), vertical (α) and horizontal (θ) angles, each of which is in fact associated with a priori precision value. The law of the error propagation was applied for the computation of the error ellipsoid parameters of the each point. Finally, an error ellipsoid can be attached to each point in the cloud.
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Why is it important?
Terrestrial laser scanners (TLSs) capture the geometry of target object or scene accurately in the form of dense point clouds. Any point in the scan data is contaminated by the random errors. These errors propagate through the steps of data processing, namely pre-processing, co-registration, mesh integration and 3D model reconstruction. Therefore, estimating the random error pattern of every individual point is essentially important for validating TLS derived 3D models.
Perspectives
A fully satisfying solution, which mathematically formulates the physical nature of the instrumental and environmental errors, has to be still designed, realized and justified. This paper presents a generic and anisotropic point error model, which is capable of computing magnitude and direction of a priori random errors, described in the form of error ellipsoids which are associated with every individual point of the cloud.
Dr Devrim AKCA
Isik University
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This page is a summary of:
A generic point error model for TLS derived point clouds
, June 2017, SPIE,
DOI: 10.1117/12.2269373.
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