COMP 4301
Computer Vision
Lec 001 and Lab 002 selected
Studies how to develop methods that enable a machine to ?understand? or analyze images. The course introduces the fundamental problems in computer vision and the state-of-the-art approaches that address them. Topics include feature detection and matching, geometric and multi-view vision, structure from X, segmentation, object tracking and visual recognition.
Sections
Lecture
Lec 001
Mon, Wed, Fri 10:00-10:50
Lab
Lab 002
Wed 14:00-16:50
Syllabus
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