Course Detail
Course Components:
Enrollment Information
Enrollment Requirement:
Prerequisites: "C-" or better in (CS 3505 AND (MATH 2270 OR MATH 2250)) AND (Full Major status in Computer Science OR Computer Engineering).
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.