Learning Outcomes
Participants will learn basic concepts, theoretical foundations and relevant algorithms developed in the field of event-based (i.e., neuromorphic) vision. Upon completing the module, participants will have an overview of the field, spanning from the principle of operation of event-based sensors (e.g., event-based cameras), their advantages and disadvantages, to the methods used to process their output for a target application. Participants will also be aware of the differences with standard (frame-based) computer vision, in terms of methods, performance criteria and applications.