Computer Vision

The goal of computer vision is to extract information from digital images and movies. Topics covered in this course include algorithms for edge and motion detection, stereo vision, object recognition, and recovering structure from motion. A range of mathematical techniques will be used to model problems and algorithms. Students will implement, test, and evaluate several computer vision techniques, and will gain experience with analyzing real, noise-contaminated image data. (CSCI 0202 and MATH 0200) 3 hrs. lect./lab

Schedule
9:30am-10:45am on Tuesday, Thursday (Feb 10, 2020 to May 11, 2020)
Location
75 Shannon Street 224
Instructors