Computer Vision

Catalog description

An in-depth study of foundational and modern techniques in computer vision. Topics include image formation and filtering, edge and feature detection, object recognition, motion tracking, and scene understanding. Emphasis is placed on both classical algorithms and learning-based approaches to solve visual tasks such as classification, detection, and segmentation. Students will design and implement vision systems using contemporary software frameworks.