The Projection Correction Method for Large-Scale Adaptive Freeform Surfaces Based on 3D Point Cloud Scanning

With the rapid development of technologies such as Virtual Reality (VR) and Augmented Reality (AR), projection technology has become increasingly important in both daily life and industrial production. However, since the projection surface is not always a flat plane, traditional distortion correction methods perform poorly when dealing with projections onto curved surfaces. This paper presents a projection distortion correction method for curved surfaces based on LiDAR point cloud scanning. The method utilizes LiDAR scanning to obtain three-dimensional information of the projection surface and divides the projection image into regions according to the type of surface. Distortion correction is then achieved through perspective transformations. Experimental results show that the proposed method effectively reduces visual distortion caused by variations in surface curvature and improves both the quality and consistency of the projected image.