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CS 5670

Introduction to Computer Vision

4.0; 3.0 credits · Graduate

An in-depth introduction to computer vision. The goal of computer vision is to compute properties of our world - including the 3D shape of an environment, the motion of objects, and the names of things - through analysis of digital images or videos. The course covers a range of topics, including low-level vision, 3D reconstruction, and object recognition, as well as key algorithmic, optimization, and machine learning techniques, including deep learning. This course emphasizes hands-on experience with computer vision and includes several programming projects.

Prerequisites & course information

for Ithaca students: CS 2110; CS 2800; MATH 1920; MATH 2310 or MATH 2940; or equivalents.

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