Fall 2024 Course Descriptions

CS 132-01 Computer Vision

R. Shilkrot
MW 4:30-5:45p, Joyce Cummings Center 160
K+ Block

Introduction to low and intermediate levels of classic and modern Computer Vision. How to design algorithms that process visual scenes to automatically extract information. Fundamental principles and important applications of computer vision, including image formation, processing, detection and matching features, image segmentation, and multiple views. Basics of machine learning and deep learning for computer vision.

Prerequisite: Recommendations: CS 160 and Math 165


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