course-details-portlet

TDT4265 - Computer Vision

About

Examination arrangement

Examination arrangement: Portfolio assessment
Grade: Letters

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

Course content

Image prcessing methods to support computer vision in 2D and 3D; structural properties; Estimation of orientation; structural/model based methods for computer vision; models; recognition; Other image modalities; SAR, thermal images, range images, stereo vision, multi-sensor fusion; combining information; measurement extraction; applications and examples; inspection, navigation, pick-and-place, pose estimation.

Learning outcome

Core:
To understand Computer Vision as a concept, with emphasis on structural methods as a basis for recognition.

Skills:
To be able to design and construct computer vision modules that function within a system to achieve the vision system's goals.

Openings:
Robotics, medical image processing, Earth resources monitoring, industrial inspection. These 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. 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.

Compulsory assignments

  • Exercises

Course materials

Book: Image Processing, Analysis and Machine Vision, Sonka et. al., Chapman and Hall.

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 2013

Language of instruction: English

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

Department with academic responsibility
Department of Computer Science

Examination

Examination arrangement: Portfolio assessment

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD Arbeider 30/100
Room Building Number of candidates
Spring ORD Skriftlig eksamen 70/100 2013-05-21 15:00
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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