This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom.

ABSTRACT

I will discuss several our recent advances in understanding minimal problems in computer vision using numerical algebraic geometry tools, i.e., Homotopy continuation and monodromy, as well as machine learning. I will talk about our classification of minimal problems under full and partial visibility and about learning startups for solving hard minimal problems by local methods.