Research on point cloud registration optimization algorithm of artificial snow field based on symmetric point plane structure

Due to the high reflectivity of ski resort, the high hardness of artificial snow, the interference of light change, environmental noise and stony trees on the ground, and the problems of low registration efficiency and poor accuracy of the existing ICP algorithm, in this paper, a point cloud registration algorithm for artificial snow field based on symmetric point plane structure is proposed. Compared with the traditional point-to-point and point-to-face methods, we propose a symmetric point-to-plane structure, which can reduce the computational complexity and improve the computational efficiency and convergence speed. Based on the above theory, two groups of point cloud data of different ski resorts are selected for experiments. The experimental results show that the proposed method can be used to process the point cloud data of complex ski resorts in different environments and locations, in terms of registration speed and accuracy, good performance has been achieved.