Course - Computer Vision - TDT4265
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
Recommended previous knowledge
TDT4195 Image Processing or equivalent.
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 |
No
Version: 1
Credits:
7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: SPRING 2013
Language of instruction: English
-
- Informatics
- Technological subjects
- 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.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"