Computer vision and image processing
This course is a first advanced introduction to computer vision and image processing. Topics covered include camera modelling, multi-view geometry, reconstruction, some low-level image processing (e.g. image segmentation) and high-level tasks (e.g. object detection). The last part of the course describes various frameworks and programming libraries aimed at applications. The course introduces the mathematical aspects and background of the methods that are then applied in practice in different projects.
Facts
Target group:
IT professionals who want to deepen their knowledge in IoT-based industrial automation and digitalization.
Prerequisites:
Basic knowledge in programming. Good knowledge of English.
Scope/Time:
According to agreement
Location:
According to agreement
Language:
English
Price:
SEK 12 000 excluding VAT
Registration:
Register your interest through the link further down on this page. Luleå University of Technology reserves the right to cancel the course if there are too few participants.
About the course
The course is conducted as a series of lectures, home assignments, laboratory sessions and a final project. Labs and projects are carried out in groups of up to 4 students. The labs will require a report and the final project will include a report summarizing the results and methodology.
At the end of the course you will be able to
- describe both theoretical and practical aspects of computer vision and image processing including methodology and terminology
- describe basic principles of image creation and analysis
- select and implement methods related to image filtering, feature extraction and image segmentation
- apply the geometric relationships between 2D images and the 3D world
- interpret higher level image processing tasks such as object detection as well as understand the principles of related deep neural networks
- implement, analyse and evaluate simple methods in the application of computer vision in the context of service-oriented architecture.
Teacher
George Nikolakopoulos, Professor and Head of Department
Expression of interest
- Register your interest
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Registering your interest is not binding. The course starts when enough people have registered their interest.
Contact us
LTU Professional Education uppdragsutbildning@ltu.se
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