This course will introduce the audience to the techniques for computing and processing correspondences between geometric objects, such as 3D shapes, images or point clouds based on the functional map framework. We will provide the mathematical background, computational methods and various applications of this framework.

This course is intended for researchers in computer graphics, geometry processing and computer vision, who are interested in problems related to correspondences between geometric datasets. It would also target practitioners in these areas, who are interested in applying and testing methods for correspondence finding in their specific setting.

The attendees should have a good understanding of the basics of linear algebra, and should have some experience with manipulating geometric objects such as surfaces represented as triangle meshes. Some background in differential geometry would be useful but is not necessary.

Sunday, July 30th 2017, 14:00pm - 17:15 in Room 402AB

Maks Ovsjanikov, Ecole Polytechnique, France
Etienne Corman, Ecole Polytechnique, France
Michael Bronstein , USI, Switzerland
Emanuele Rodolà, USI, Switzerland
Mirela Ben-Chen , Technion University of Technology, Israel
Leonidas Guibas, Stanford University, USA
Frederic Chazal, Inria DataShape team, France
Alex Bronstein, Technion University of Technology, Israel