Surface Normals Estimation from Point Clouds

Surface normal estimation involves computing the normal vector for each point in a point cloud to describe the orientation and inclination of the surface. This task is a critical component of 3D point cloud analysis, aimed at enhancing the accuracy and efficiency of point cloud processing. It is widely applied in 3D reconstruction, object recognition, and scene understanding, providing essential geometric information support for computer vision.