CS5320

Introduction to fundamental problems of Computer Vision and main concepts and techniques to solve those. Topics in this class include camera pose estimation, 3D reconstruction, feature detectors and descriptors, object recognition using vocabulary tree, probabilistic graphical models, segmentation, stereo matching, graph cuts, belief propagation, and a brief introduction to deep neural networks.

Prerequisites: 'C-' or better in(CS 3505 AND(MATH2270 OR 2271 OR 2250))AND Foundational Courses complete((‘C-‘ or better in (CS1400 AND CS1410)OR CS1420) AND (‘B-‘ or better in CS2420) AND (‘C’ or better in MATH1210)) AND Major or Minor in KSoC or ECE

Fall