Surface Normals Estimation

Surface normals estimation is a crucial task in the field of computer vision, aiming to predict the normal directions of surfaces in objects within a scene. This task achieves high-precision estimation of surface orientations through methods such as deep convolutional neural networks, providing key information for applications like 3D reconstruction, scene understanding, and lighting estimation.