CS 4670 - Introduction to Computer Vision

(SMR-AS)

Spring. 4 credits. Student option grading (no audit).

Prerequisite: CS 2110, CS 2800, MATH 2940 or equivalent, and MATH 1920 or equivalent. Co-meets with CS 5670.

B. Hariharan.

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 fro 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.