course-details-portlet

IDATG2206 - Computer Vision

About

Examination arrangement

Examination arrangement: Oral exam
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Oral exam 100/100 45 minutes E

Course content

  • Image formation and low level processing
  • Camera and optics
  • Camera calibration
  • Light and color
  • Color imaging
  • Image quality
  • Image processing
  • Image filtering
  • 2D transformations
  • Feature detection and matching
  • Pattern Analysis
  • Image registration
  • Image and video compression
  • Segmentation
  • Classification, Introduction to spectral imaging
  • Introduction to machine learning applications.

Learning outcome

Knowledge:

On successful completion of this course, students should have the knowledge to: - understand basic concepts, terminology, theories, models, and methods in the field of image processing and computer vision -describe basic methods of computer vision. -assess which methods to use for solving a given problem, and analyze the accuracy of the methods in image processing and computer vision.

Skills:

Upon completion of the course, the students will acquire skills to: -develop and apply image processing, computer vision techniques for solving practical problems -choose appropriate image processing methods for image filtering, image restoration, image reconstruction, segmentation, classification and representation.

General competence:

-Apply knowledge and skills to new areas to understand and conduct complex tasks and projects. -Analysis relevant professional and research problems.

Learning methods and activities

  • Lectures
  • Project
  • Assignments
  • Exercises

Compulsory assignments

  • Oblig

Further on evaluation

Mandatory assignments and projects have to be completed in order to be eligible to appear for the main exam.

Submission of project report is obligatory.

The final assessment will be based on an oral exam.

A written exam will be conducted instead of the oral exam, if there are more students.

Re-sit exam in August.

Specific conditions

Compulsory activities from previous semester may be approved by the department.

Admission to a programme of study is required:
Computer Science (BIDATA)
Programming (BPROG)

Course materials

Digital Image Processing by Rafael C. Gonzalez and Richard Eugene Woods

Lecture notes and supplementary material relevant to the course will be provided

More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Intermediate course, level II

Coursework

Term no.: 1
Teaching semester:  SPRING 2023

Language of instruction: English

Location: Gjøvik

Subject area(s)
  • Engineering
Contact information
Course coordinator:

Department with academic responsibility
Department of Computer Science

Timetable

List view
Calendar view

Examination

Examination arrangement: Oral exam

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD Oral exam 100/100 E

2023-04-17 - 2023-04-19

Room Building Number of candidates
Summer UTS Oral exam 100/100 E
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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