course-details-portlet

IMT4135 - Introduction to Research on Colour and Visual Computing

About

Examination arrangement

Examination arrangement: Oral examination and work
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
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

 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 (coursework and oral exam) must be passed

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)
Applied Computer Science (MACS-D)
Computational Colour and Spectral Imaging (MSCOSI)

Course materials

Course material will be announced at the beginning of the semester.

More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Second degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2021

Language of instruction: English

Location: Gjøvik

Subject area(s)
  • Informatics
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Computer Science

Timetable

List view
Calendar view

Examination

Examination arrangement: Oral examination and work

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Oral examination 6/10

2021-11-30 - 2021-12-04

Room Building Number of candidates
Autumn ORD Work 4/10

Release
2021-11-05

Submission
2021-11-12


12:00


12:00

INSPERA
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.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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