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Improved ICP Point Cloud Registration Based on KDTree
Based on the analysis of the principle of ICP and KDTree algorithms, the paper summarized the defects of ICP and the advantages of KDTree, and with KDTree characteristics proposed fast traversal search nearest neighbor point set to form same name points, then the registration is realized to calculate transformation parameters R and T by Four Element method. Through verification of measured data and simulated data, it has been significantly improved in time and efficiency for the improved ICP algorithm based on KDTree algorithm which related to traditional ICP algorithm. This method enriches Terrestrial 3D laser scanning technology and registration technology. It will play an important role in the field of Geographic Information Science, Remote Sensing image processing, Reverse Engineering.
Keywords
Point Cloud Data Registration, ICP, KDTree, Four Element Method.
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