CS 5670 - Introduction to Computer Vision

Spring. 3-4 credits, variable. 3 credits at Cornell Tech. Student option grading (no audit).

Prerequisite: CS 2110, CS 2800. Offered in New York City at Cornell Tech (three credit version only). Co-meets with CS 4670 (four credit version only).

N. Snavely.

An in-depth introduction to computer vision. The goal of computer vision is to compute properties of our world-the 3D shape of an environment, the motion of objects, the names of people or things-through analysis of digital images or videos. The course covers a range of topics, including 3D reconstruction, image segmentation, object recognition, and vision algorithms from the Internet, as well as key algorithmic, optimization, and machine learning techniques, such as graph cuts, non-linear least squares, and deep learning. This course emphasizes hands-on experience with computer vision and several large programming projects.