CS 7495 - Fall 2013


Fall 2013 graduate computer vision will be taught by Frank Dellaert with frequent guest lectures by faculty in the Computational Perception Lab at Georgia Tech.

The intended audience is graduate students whose main interest is computer vision, i.e., students in CPL and/or students who are taking the Perception core in Georgia Tech’s Robotics Ph.D. program. While not a formal pre-requisite, it helps if you have taken an introductory computer vision or image processing class. In addition, the class is directed towards those that are comfortable doing some learning on their own of basic material. Please note that there is a more introductory computer vision class, CS 4495/6495 which is recommended for students having never taken a vision class before.

The learning goals of the course are

- to provide a strong foundation in classical computer vision concepts and techniques.

  1. -to go deep in each of these topics by looking at cutting edge developments in these areas, and have each student implement several advanced methods from the literature

  2. -finally, to inspire confidence in your ability to identify where and how to apply techniques from computer vision throughout your future career.

For more information, please consult the syllabus and the schedule.

                                               Frank Dellaert              .

Graduate Computer Vision