IHA-4406 Fundamentals of Robot Vision, 5 cr

Implementation IHA-4406 2017-01

Description

This course provides an introduction to computer vision including fundamentals of image formation & filtering, feature detection & matching, structure-from-motion & image-based 3D modelling, motion estimation & tracking, and object detection & recognition. The course gives an overview of algorithms, models and methods, which are used in automatic analysis of visual data.

Lessons

Assessment scale

Numerical evaluation scale (0-5)

Additional information of course implementation

Programming skills and basic knowledge of data structures and mathematics (linear algebra, probability) will be necessary. Students are encouraged to use Matlab in the programming exercises and therefore previous experience with Matlab is beneficial.

Study material