course-details-portlet

TDT4265 - Computer Vision

About

Examination arrangement

Examination arrangement: Portfolio assessment
Grade: Letters

Evaluation form Weighting Duration Examination aids Grade deviation
Arbeider 30/100
Skriftlig eksamen 70/100 4 timer

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

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.

Course materials

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

Credit reductions

Course code Reduction From To
SIF8066 7.5
More on the course

No

Facts

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

Coursework

Term no.: 1
Teaching semester:  SPRING 2016

No.of lecture hours: 2
Lab hours: 2
No.of specialization hours: 8

Language of instruction: English

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

Department with academic responsibility
Department of Computer Science

Phone:

Examination

Examination arrangement: Portfolio assessment

Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
Spring ORD Arbeider 30/100
Room Building Number of candidates
Summer KONT Arbeider 30/100
Room Building Number of candidates
Spring ORD Skriftlig eksamen 70/100 2016-06-06 09:00
Room Building Number of candidates
Summer KONT Muntlig eksamen 70/100 2016-08-15
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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