course-details-portlet

TDT4265

Computer Vision

Choose study year
Credits 7.5
Level Second degree level
Course start Spring 2016
Duration 1 semester
Language of instruction English
Examination arrangement Portfolio assessment

About

About the course

Course content

Computer vision techniques build the basis for an automatic understanding and interpretation of digital images that today can be recorded with a multitude of different imaging devices (e.g. mobile phones, webcams, 3D depth-images, X-ray, MRI,... ). The course is concerned with extensions of basic image processing methods like image enhancement, feature detection and morphological image operations. Along with other techniques fundamental concepts for shape and region description, segmentation and hierarchical image representations are introduced. Useful for classification and recognition tasks the presented methods are applicable in many related areas like optical flow, stereo vision, industrial inspection, robotics and medical image processing.

Learning outcome

The course provides an overview and understanding of several fundamental techniques in Computer Vision. Advanced knowledge in this field is becoming increasingly more and more important. This is in particular true in view of the ever increasing availability of cameras and other imaging devices in nearly all areas of our society. The course helps to build the skills to design and construct advanced computer vision modules that function within a system to achieve the vision system's goals. Application fields include industrial areas, robotics and medical image processing. The learned subjects can be the basis of employment in industry or the public sector, or could be followed for doctoral research in Norway or overseas.

Learning methods and activities

Lectures and exercises. Lectures will be given in English. Portfolio assessment is the basis for the grade in the course. The portfolio includes a final written exam 70% and exercises 30%. The results for the parts are given in %-scores, while the entire portfolio is assigned a letter grade. If there is a re-sit examination, the examination form may change from written to oral. The examination papers will be given in English only. Students are free to choose Norwegian or English for written assessments.

Compulsory assignments

  • Exercises

Course materials

Book: Digital Image Processing, Rafael C. Gonzalez, Richard E. Woods (Publisher: Pearson)

Credit reductions

Course code Reduction From
SIF8066 7.5 sp
This course has academic overlap with the course in the table above. If you take overlapping courses, you will receive a credit reduction in the course where you have the lowest grade. If the grades are the same, the reduction will be applied to the course completed most recently.

Subject areas

  • Informatics
  • Technological subjects

Contact information

Course coordinator

Department with academic responsibility

Department of Computer Science

Examination

Examination

Examination arrangement: Portfolio assessment
Grade: Letters

Ordinary examination - Spring 2016

Arbeider
Weighting 30/100
Skriftlig eksamen
Weighting 70/100 Date 2016-06-06 Time 09:00 Duration 4 timer Place and room Not specified yet.

Re-sit examination - Summer 2016

Arbeider
Weighting 30/100
Muntlig eksamen
Weighting 70/100 Date 2016-08-15