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.
The course will be lectured by Assistant Professor Juho Kannala (https://users.aalto.fi/~kannalj1/).
Course assistants are Zakaria Laskar and Santiago Cortes Reina.
Course personnel has emails of the form firstname.lastname @ aalto.fi (i.e. juho.kannala, santiago.cortesreina, zakaria.laskar).
Lectures are on Mondays from 10:15 to 12:00 in room AS2 (TUAS building).
Exercises are on Fridays from 12:15 to 14:00. First exercise session is on Friday 13th of January. In teaching period IV the exercises are in T1 (Computer Science building).
Registration and requirements
Aalto students should register via Oodi.
The requirements for passing the course are as follows:
- Get more than 0 points from at least 8 exercise rounds (see "Assignments"-page)
- Pass the exam
Programming skills and basic knowledge of data structures and mathematics (linear algebra, probability) will be beneficial. Students are strongly encouraged to use Matlab in the programming exercises but previous experience with Matlab is not required.