Introduction to Pattern Recognition and Computer Vision
Explore pattern recognition, including Bayesian decision theory, maximum likelihood and estimation, nonparametric techniques, and linear discriminant functions. Examine computer vision, including geometric camera models and calibration, geometry of multiple views and stereopsis, structure from motion, and tracking. Electrical and Computer Engineering 380L (Topic 7) and Electrical Engineering 380L (Topic 7) may not both be counted.
Prerequisites & course information
Explore pattern recognition, including Bayesian decision theory, maximum likelihood and estimation, nonparametric techniques, and linear discriminant functions. Examine computer vision, including geometric camera models and calibration, geometry of multiple views and stereopsis, structure from motion, and tracking. Electrical and Computer Engineering 380L (Topic 7) and Electrical Engineering 380L (Topic 7) may not both be counted.
Sources
- Course catalogue ↗2026-2027