Computing and processing correspondences with functional maps
Maks Ovsjanikov, Étienne Corman, Michael M. Bronstein, Emanuele Rodolà, Mirela Ben‐Chen, Leonidas Guibas, Frédéric Chazal, Alex M. Bronstein · 2017
Notions of similarity and correspondence between geometric shapes and images are central to many tasks in geometry processing, computer vision, and computer graphics. The goal of this course is to familiarize the audience with a set of recent techniques that greatly facilitate the computation of mappings or correspondences between geometric datasets, such as 3D shapes or 2D images by formulating them as mappings between functions rather than points or triangles.