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Calibration of a Terrestrial Laser Scanner - Institute of Geodesy and ...

Calibration of a Terrestrial Laser Scanner - Institute of Geodesy and ...

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4.2 Registration 81Figure 4.5: Types <strong>of</strong> artificial targets used for laser scanning: HDS Leica Geosystem circular planar target (left), ZFcoded planar target (middle), ETH Zurich sphere target (right).The distribution <strong>of</strong> targets is <strong>of</strong>ten disregarded during laser scanningfield work. The instruments are in¬vestigated <strong>and</strong> calibrated intensively to improve the accuracy <strong>of</strong> laser scanners. But in return, the accuracyis decreased through carelessness in the field caused by awkward <strong>and</strong> poor targetdistributions. The re¬sults based on the distribution worsens the accuracy significantly. In photogrammetry <strong>and</strong> analogous interrestrial laser scanning, control points have to be chosen in such a way that they• cover the full object volume to avoid extrapolation,• do not hide important parts <strong>of</strong> the object, <strong>and</strong>• are <strong>of</strong> a reasonable number.Investigations showed that for an indoor project with a dimension <strong>of</strong> 10 x 10 x 3 m3 the influence <strong>of</strong> poordistributions <strong>of</strong> control points can reach several centimeters. A reasonable number <strong>of</strong> targets<strong>of</strong> about 4 to6 for two different scan positions is recommended. The use <strong>of</strong> moretargets does not increase the accuracysignificantly unless there is a probability <strong>of</strong> unsuitable targets that should not be used for the registrationprocess.The coverage <strong>of</strong> the full object volume is essential since extrapolation should be avoided <strong>and</strong> mayresult inincreasing errors. High or linear objects, such as towers <strong>and</strong> buildings, require an appropriate distribution<strong>of</strong> the targets in height as well. Unfortunately, in most cases the attachment <strong>of</strong> artificial targets is impossible.Thus, other registration techniques should be used, e.g.natural targets or point cloud registration, <strong>and</strong>should be combined with each other.4.2.2 Point Cloud RegistrationThe point cloud registration <strong>of</strong>fers the possibility to transform one or more data sets to another withoutusing targets. The only constraint is the two data sets show areas <strong>of</strong> overlapping pointclouds. This meansboth data sets have to contain point clouds that describe the same objects. The advantages <strong>of</strong> this procedureis that no artificial or natural targets are required <strong>and</strong> a high redundancy is achieved. The disadvantagesare due to the principle <strong>of</strong> laser scanning:

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