(Formerly CS143)

Computer Vision

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Location:Salomon 001
Meeting Time:F: MWF 1:00-1:50
Exam Group:15-DEC-2017 Exam Time: 09:00:00 AM Exam Group: 06
Semester:1 (Fall)
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.

CRN: 15897