EECS 442: Computer Vision (Winter 2022)

This is the tentative schedule.

Re-use policy: I am extremely grateful to the many researchers who have made their slides and course materials available. Please feel to re-use any of my materials while crediting appropriately and making sure original attributions to these generous researchers is preserved. Please consider making your own course materials public.

S is Computer Vision: Algorithms and Applications by Richard Szeliski, which can be found here.

H&Z is Multiple View Geometry in Computer Vision by Richard Hartley and Andrew Zisserman, which can be obtained via the library in electronic form (scroll past the physical copies).

ESL is Elements of Statistical Learning by Hastie, Tibshirani, and Friedman, which can be found here (PDF)