(Formerly CS143)

Computer Vision

  • Srinath Sridhar (fall '21) | James Tompkin (spring '22)
Course Home Page:
Location:85 Waterman room 130
Meeting Time:I hr: T,Th 10:30-11:50
Exam Group:13: 15-DEC-2021 Exam Time: 02:00:00 PM
Semester:Fall, Spring
Offered this year?Yes
When Offered?Most years


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

CRN: 16060