(Formerly CS143)

Computer Vision

Offered this year and most years

Fall 2022

How can computers understand the visual world of humans? This course treats vision as a process of inference from noisy and uncertain data and emphasizes probabilistic and statistical approaches. Topics may include perception of 3D scene structure from stereo, motion, and shading; image filtering, smoothing, edge detection; segmentation and grouping; texture analysis; learning, recognition and search; tracking and motion estimation. Strongly recommended: basic linear algebra, basic calculus and exposure to probability.

Prerequisites: CSCI 0160, 0180, or 0190

Course Home Page:
Location:Smith-Buonanno 106
Meeting Time:I hr: TTh 10:30-11:50a
Exam Group:14-DEC-2022, 2:00 PM, Alumnae Hall

Spring 2023

As above
Location:Salomon 002
Meeting Time:I hr: TTh 10:30-11:50a
Exam Group:17-MAY-2023, 2:00 PM