CS 5670 - Introduction to Computer Vision

Spring. Ithaca: 4 credits; Cornell Tech: 3 credits. Ithaca: student option grading (no audit); Cornell Tech: letter grades only (no audit).

Prerequisite: CS 2110, CS 2800, MATH 1920 or equivalent and MATH 2310 or MATH 2940 or equivalent (Ithaca only). 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.