Instructor: Charalambos Poullis

TA/Grader: Timothy Forbes (TA - Gr.)

Office: EV3.183

Email: charalambos [at] poullis [dot] org

TA/Grader: computer [dot] vision [dot] ta [at] gmail [dot] com

Lectures: Tu 5:45PM - 8:15PM, MB S1.105 SGW

Labs: Tu 8:30PM - 10:30PM, TBA SGW

Office hours: Wednesday 14:00 - 16:00 and by appointment

Other: Please see below


Over the past few years computer vision has re-emerged as one of the most popular and challenging technical areas in computer science. Recent advances in computer graphics hardware as well as the development of novel algorithms for the fast and accurate extraction of salient features in images, have made it possible to significantly progress the state-of-the-art to a point where nowadays many commercial products incorporate some type of embedded computer vision system.

The goal of the proposed course is to introduce graduate students to the different aspects of computer vision, give them the ability to understand, apply, analyze and evaluate computer vision algorithms, and implement components that are fundamental to many modern vision systems.

Prerequisites: N/A

Suggested textbooks:
1. Computer Vision: A Modern Approach (2nd Edition) by David A. Forsyth, Jean Ponce. ISBN-13: 978-0136085928
2. Computer Vision: Algorithms and Applications Hardcover by Richard Szeliski. ISBN-13: 978-1848829343


[18.DEC.2017]   This term we will be using Piazza for class discussion. You can find more information in the syllabus.

[18.DEC.2017]   Welcome to the course!