(Formerly CS143 )

Introduction to Computer Vision

Course Home Page:
Location: UH
Meeting Time: G: MWF 2:00-2:50
Exam Group:
Semester: 1 (Fall)
Offered This Year?  Yes
When Offered? Every Other Year


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: 16534