Abstract: Aiming at the need for rapid cam base circle radius detection, a laser point cloud-based visual measurement method was studied. The 3D point cloud model of the workpiece was acquired by laser scanners, and cam point cloud slices were obtained through a circular rotational cutting method. To address the poor anti-outlier capability of existing circle fitting methods, the Tukey function was incorporated into the Hyper circle fitting approach, leading to the proposal of a Hyper-IRLS-Tukey circle fitting method for determining the base circle radius center of each cam point cloud slice. The feasibility of the proposed method was verified, and a computational model for the base circle radius was established, enabling accurate radius detection. Experimental results demonstrate that the proposed circle fitting method offers superior stability compared to Least squares circle, Taubin, Hyper, Hyper-M estimation, and other methods. When compared with measurements from a coordinate measuring machine (CMM), the maximum mean absolute error does not exceed 4.4 μm, meeting the practical requirements for rapid and efficient base circle radius measurement based on laser point cloud technology, thereby providing technical support for applications such as cam lift evaluation.