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
Lab

Syllabus

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