CS 6670 - Computer Vision

Fall. 4 credits. Student option grading.

Prerequisite: MATH 2210 or equivalent. Undergraduate-level understanding of algorithms.

B. Hariharan.

This course will introduce the core problems of computer vision and discuss both classical approaches based on the geometry and physics of image formation as well as current approaches based on recent advances in deep learning. Topics include stereopsis and 3D reconstruction, optical flow, image segmentation, object recognition, feature representations of images and patches, and convolutional networks.