(Formerly CS143)

Computer Vision

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Meeting Time:I hr: TTh 10:30-11:50a
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: 17292