course-details-portlet

IDATG2206 - Computer Vision

About

New from the academic year 2020/2021

Examination arrangement

Examination arrangement: Assignment and Written examination
Grade: Letters

Evaluation form Weighting Duration Examination aids Grade deviation
Assignment 40/100
Written examination 60/100 4 hours E

Course content

Image formation
-Camera and optics
-Camera calibration
-Light and color
-Color imaging
-Image quality
Image processing
-Image filtering
-2D transformations
-Feature detection and matching
-Multiple views and stereo
-Image registration
-Image and video compression
-Object recognition
-Segmentation
-Introduction to spectral imaging
-Introduction to machine learning
Applications, including for example the following;
-Medical imaging
-Automation
-OCR
-Face detection
-Tracking

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 related to multi-scale representation, edge detection and detection of other primitives, stereo, motion and object recognition.
-assess which methods to use for solving a given problem, and analyse the accuracy of the methods in computer vision

Upon completion of the course the students will acquire skills to:
-develop and apply 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.
-Analyse relevant professional, and research ethical problems.

Learning methods and activities

-Lectures
-Assignments
-Exercises
-Project

Compulsory assignments

  • Mandatory assigments

Further on evaluation

Mandatory assignments and project have to be completed in order to be eligible to appear for the main exam. Both the exam and project needs to be passed to complete the course.

Specific conditions

Exam registration requires that class registration is approved in the same semester. 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

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 2021

Language of instruction: English

Location: Gjøvik

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

Department with academic responsibility
Department of Computer Science

Phone:

Examination

Examination arrangement: Assignment and Written examination

Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
Spring ORD Assignment 40/100
Room Building Number of candidates
Spring ORD Written examination 60/100 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"

More on examinations at NTNU