The study presents a method for registration of terrestrial light detection and ranging point clouds based on geometric features (GFs) without using targets. It aims to solve the rotation and translation between two data sets using geometric features, including points, lines, planes, and cylinders. Conjugate planes are used to solve the rotation and the intersected points of the axes of the cylinders and planes are used as conjugate points to solve the translation. Based on the result from an experiment, it has been demonstrated that the proposed approach is capable of giving a reliable and satisfactory registration solution.
This paper presents an approach for the registration of terrestrial laser scanning point clouds based on geometric models
while there are no targets in the scanning process. We obtained the axis vectors of the cylinders that are fitted from the
segmented point clouds in the overlapping areas. Then we solved the parameters of the rotation and translation by using
the axis vectors and the centers of the cylinders. Further, we analyzed the registration accuracy and its influencing factors.
The test result shows that the geometric model based approach actually offers high degree of flexibility and meets high
accuracy for registering terrestrial laser scanning data.
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