CS 5670 - Introduction to Computer Vision

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

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).

B. Hariharan (Ithaca), N. Snavely (NY Tech).

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.