EECS 442
Computer Vision
An introduction to 2D and 3D computer vision. Topics include: camera models, the geometry of multiple views; shape reconstruction methods from visual cues; low-level image processing techniques such as feature detection; high-level vision problems such as object recognition and scene understanding.
Topics
- camera models
- the geometry of multiple views
- shape reconstruction methods from visual cues
- low-level image processing techniques such as feature detection
- high-level vision problems such as object recognition and scene understanding
Topics explicitly listed in official catalogue description
Prerequisites & course information
[(EECS 281 and (MATH 214 or 217 or 296 or 417 or 419 or ROB 101)); (C or better, No OP/F)] or graduate standing. (Prerequisites enforced at registration.) (BS). May not be repeated for credit. F (Alternate years).
Sources
Catalogue variants
- Computer Vision · 4 · College of Engineering catalogue
- Computer Vision · Graduate credit