本文中，以三维点云的几何形状检测作为研究背景，以三维点云中球面检测问题

Herein, in order to detect the geometry of the 3D point cloud as a background, three-dimensional and spherical detection problem as a focus point cloud, cloud sphere detection methods are based on 3D Improved Random sample consensus algorithm to calculate the amount is reduced and with i.e. the target point irrespective of the detection point of an outer impact is reduced, the spherical detecting speed and accuracy is increased, the spherical jamming detection capability is enhanced.

In this paper, the geometry detection of three-dimensional point cloud is taken as the research background, the spherical detection problem in the three-dimensional point cloud is the focus, the three-dimensional point cloud spherical detection method based on random sampling consistency algorithm is improved, so that the calculation is reduced and the influence of the outside point is reduced, the spherical detection speed and precision is improved, and the anti-jamming ability of spherical detection is enhanced.

In this paper, the geometric shape detection of 3D point cloud is taken as the research background, and the spherical surface detection problem in 3D point cloud is taken as the focus. The spherical surface detection method based on the random sampling consistency algorithm is improved, so that the calculation amount is reduced and the influence of the independent points, i.e. external points, is reduced, the speed and accuracy of spherical surface detection is improved, and the anti-interference ability of spherical surface detection is improved The force is increased.