Course - Introduction to Research on Colour and Visual Computing - IMT4135
Introduction to Research on Colour and Visual Computing
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About the course
Course content
Covered topics:
- Human visual system and perception
- Light and lighting
- Colour imaging and technology
- Colour management/device characterisation
- Image quality
- Colour science
- Colour and image processing
- Video processing
- Image analysis and computer vision
- Spectral imaging
Selected additional topics, such as:
- Visualisation
- Introduction to appearance modeling and capture
- Virtual and mixed reality
- Computer Graphics
- Material appearance and rendering
- Geometric modeling and 3D-printing
- Human computer interaction
- Applications, such as industrial quality control, medical image processing and visualization, surveying, robotics, multimedia systems, virtual heritage, special effects in movies and television, and computer games.
Learning outcome
After successfully completing the program, the students possess the following:
Knowledge
- have comprehensive knowledge human visual system and perception, colour imaging and technology and representation.
- insight and understanding of the current state of the art research in colour and visual computing.
- understanding of different methodologies for research on colour, imaging and visual computing.
- an appreciation for future developments in the area of colour and visual computing.
Skills
- ability to identify strengths, weaknesses and opportunities in the context of colour and visual computing technology.
- ability to critically review literature and case studies on colour and visual computing research topics.
- ability to use insights to solve new problems in the area of colour and visual computing.
- ability to express an opinion, review, and counter argue someone else's opinion in a written essay.
General competence
- ability to present and discuss the results of research work, to computer scientists and subject matter experts, and to general public.
- ability to communicate (in a written form and orally) academic issues, analyses, and conclusions.
- have the learning skills to continue acquiring new knowledge and skills in a manner that is largely self-directed.
Learning methods and activities
- Lectures
- Project and other methods
- Assignments
- Seminars
If the minimum number of students registered for the course is less than 5, the course may not run during a semester.
Compulsory assignments
- Mandatory Courswork
Further on evaluation
Forms of assessment
- Oral exam, individually
- Coursework is mandatory and and is assessed «approved/not approved». The performance to get the report approved needs to be equivalent to the grade "C".
- Coursework needs to be «approved» to be eligible for the oral exam.
Re-sit examination is offered for the oral exam. In the case the student fail this course, a re-sit exam will be conducted in March of the Spring following the course.
Specific conditions
Admission to a programme of study is required:
Applied Computer Science (MACS)
Miscellaneous Courses - Faculty of Information Technology and Electrical Engineering (EMNE/IE)
Recommended previous knowledge
Image processing and analysis or similar
Course materials
Course material will be announced at the beginning of the semester.
Subject areas
- Informatics