CSCI1430(Formerly CS143 )
Introduction to Computer Vision
|Meeting Time:||F: MWF 1:00-1:50|
|Exam Group:||06; 12/14/2013 Exam Time: 02:00 PM|
|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.