Modern shape from shading and beyond

Shape from shading (SFS) is one of the most fundamental problems in Computer Vision: reconstruction of the three-dimensional (3D) shape of photographed objects given a single input image. Image formation is then modelled based on assumptions on illumination and light reflectance. Solving the 3D shape from the model is useful for many applications. SFS has been extended, for example, to several input images of the same scene taken under different lighting conditions, known as photometric stereo. The aim of the session is to introduce state-of-the-art models and algorithms in the field, and to discuss future directions of research.