This course is the complement of the Augmented and Virtual Reality course. We will develop the required theoretical and practical tools based on linear algebra, variational techniques, robust numerical optimization, including penalties and constraints, etc. and for more recent works, machine learning. From the class, the students will learn many concepts from 3D geometry, practical numerical optimization, robust estimation, etc.
For more information, please download the teaching guide HERE.