CS 5670 - Introduction to Computer Vision

Spring. Ithaca: 4 credits; Cornell Tech: 3 credits. Student option grading (no audit); student option grading at Cornell Tech.

Prerequisite: (Ithaca only) CS 2110, CS 2800, MATH 2940 or equivalent, MATH 1920 or equivalent. Offered in New York City at Cornell Tech (three credit version only). Co-meets with CS 4670 (Ithaca 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.