COMP 425/6341 Computer Vision - Charalambos Poullis

Instructor: Charalambos Poullis

TA/Grader: TBD

Office: ER925

Email: charalambos [at] poullis [dot] org

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

Lectures: Tu 5:45PM - 8:15PM, H 553 SGW

Labs: 2x Tu 8:30PM - 10:30PM, 2x Tu 3:30PM - 5:30PM, We 8:30PM - 10:30PM

Office hours: Monday 14:00 - 15:00 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: Good programming skills in C/C++ or Python

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


[5.JAN.2022]   Welcome to the course! All announcements will be posted on the course page on Moodle.