This lecture covers the concept of recovering surface orientation or shape from image texture, assuming that the texture remains consistent across the surface. It explains the computation under perspective, paraperspective, and orthographic projections, as well as the distortion caused by perspective. The lecture also delves into orthographic projection, foreshortening, and statistical shape recovery, highlighting the use of deep learning for predicting surface normals.