THE COURSE HAVE BEEN CANCELLED

Welcome to Introduction to Image Processing and Computer Vison

Topic, background and motivation for the course:

The purpose of this course is to make doctoral students from different fields of engineering and medicine familiar with basic and advanced topics of image and video processing and apply them in their own PhD projects. The course will start by giving basic image processing concepts on how an image is formed, manipulated, and analyzed. Then, the course continues into more advanced topics like different imaging sensors and data, object detection, recognition, and tracking.

Prerequisites:

Basic linear algebra and some coding skills for example in Matlab

Learning objectives:

Understanding basics of image processing and computer vision

Teaching methods:

PowerPoints, in class exercise, project

Criteria for assessment:

Attending the class, defining a project, and presenting its findings to the class

Key literature:

Introduction to Video and Image Processing. Building Real Systems and Applications, Thomas B. Moeslund, Springer 2012.
Preview available at Springer.
Computer Vision - Algorithms and applications, Richard Szeliski, 2011. Free pdf version available: http://szeliski.org/Book/

Organizer: Kamal Nasrollahi

ECTS: 3

Time: May 5,12, and 24, 2022

Place: Aalborg University, 5 May Rendsburggade 14, 3/2,449, 
                                        12 and 24 May Rendsburggade 14. 4./3.563
 

Zip code: 


City: 

Number of seats: 45

Deadline: April 14, 2022


Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations