Computer Vision for Visual Effects

ECSE-6620

This course describes the computer vision problems that underlie modern visual effects in movies, in which original video footage is transformed or augmented to create fantastic, yet plausible environments. The course provides a critical overview of the important literature for several problem categories, describing "under-the-hood" concepts and algorithms in mathematical detail. In many cases, the relevant academic research is only a few years old and has only recently been applied to movies, TV shows, and commercials.

3 credits

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2023
2022
2021
Comp Vision For Visual Effects (3c)
  • Richard J Radke
Seats Taken: 5/12
2020
2019
Comp Vision For Visual Effects (3c)
  • Richard J Radke
Seats Taken: 7/42
2018
2017
Comp Vision For Visual Effects (3c)
  • Richard J Radke
Seats Taken: 10/42
2016
2015
Digital Signal Process (3c)
  • Joseph W Quinn
Seats Taken: 4/30
2014
2013
2012
2011
2010
2009
2008
Digital Signal Process (3c)
  • Arthur C Sanderson
Seats Taken: 11/40
2007
Digital Signal Process (3c)
  • Arthur C Sanderson
Seats Taken: 17/36
2006
Digital Signal Process (3c)
  • Richard J Radke
Seats Taken: 25/34
2005
Digital Signal Process (3c)
  • John W Woods
Seats Taken: 10/28
2004
Digital Signal Process (3c)
  • John W Woods
Seats Taken: 9/30
2003
Digital Signal Process (3c)
  • John W Woods
Seats Taken: 13/30
2002
Digital Signal Process (3c)
  • John W Woods
Seats Taken: 12/30
2001
Digital Signal Process (3c)
  • Richard J Radke
Seats Taken: 17/30
2000
Digital Signal Process (3c)
  • John W Woods
Seats Taken: 20/30
1999
Digital Signal Process (3c)
  • John W Woods
Seats Taken: 23/30
1998
Digital Signal Process (3c)
  • William A Pearlman
Seats Taken: 18/30