Course - Computer Vision - TDT4265
Computer Vision
About
About the course
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
To understand Computer Vision as a concept, with emphasis on structural methods for implementing such functionality.
Learning methods and activities
Lectures and exercises. Exercises will count 30% in the final 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 |
|---|---|---|
| SIF8066 | 7.5 sp |
Subject areas
- Informatics
- Technological subjects
Contact information
Course coordinator
- Richard Blake