Course - Introduction to Research on Colour and Visual Computing - IMT4135
IMT4135 - Introduction to Research on Colour and Visual Computing
About
Examination arrangement
Examination arrangement: Oral examination and Work
Grade: Letters
| Evaluation form | Weighting | Duration | Examination aids | Grade deviation |
|---|---|---|---|---|
| work | 4/10 | |||
| Oral examination | 6/10 |
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
Further on evaluation
Re-sit examination is offered for the oral exam.
Forms of assessment:
Coursework: Oral presentation and report on a selected research topic, approved by lecturer. Includes critical analysis of previous works.
Oral exam, individually
Both parts must be passed
Specific conditions
Admission to a programme of study is required:
Applied Computer Science (MACS)
Applied Computer Science (MACS-D)
Colour in Science and Industry (COSI) (MACS-COSI)
Computational Colour and Spectral Imaging (MSCOSI)
Recommended previous knowledge
IMT4305 image processing and analysis
Course materials
Course material will be announced at the beginning of the semester.
No
Version: 1
Credits:
7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: AUTUMN 2020
Language of instruction: English
Location: Gjøvik
- Informatics
Department with academic responsibility
Department of Computer Science
Phone:
Examination
Examination arrangement: Oral examination and Work
- Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
- Autumn ORD work 4/10
-
Room Building Number of candidates - Autumn ORD Oral examination 6/10
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"