Abstract
The point cloud Registration Method is the Basis for 3D reconstruction and scenes perception. After decades of development, it has been acquired in the fields of reverse engineering, machine vision, CAD/CAM,laser remote sensing,virtual reality, human-computer interaction,and stereo imaging.A wide range of applications.in this paper, the existing registration methods are divided into two types based on the registration process: coarse registration and fine registration.the algorithm principles and processes,and combs the related derivative algorithms. On this basis, the characteristics of various algorithms are compared and analyzed, which provides a reference for selecting suitable algorithms in different scenarios.Finally pointed out the main provides a reference for electing suitable algorithms in different scenarios. Finally pointed out the main problems and future research directions.
Cite
CITATION STYLE
Gu, X., Wang, X., & Guo, Y. (2020). A Review of Research on Point Cloud Registration Methods. In IOP Conference Series: Materials Science and Engineering (Vol. 782). Institute of Physics Publishing. https://doi.org/10.1088/1757-899X/782/2/022070
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