SGN-45006 Fundamentals of Robot Vision, 5 cr


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 is only intended for degree students


Esa Rahtu, Joni Kämäräinen


Toteutuskerta Periodi Vastuuhenkilö Suoritusvaatimukset
SGN-45006 2018-01 4 Esa Rahtu


Students will learn - Image formation and image processing - Feature extractions - Object detection and tracking - Use of multiple images - Mapping, visual reconstruction, VR, AR - SLAM - Deep NN


Sisältö Ydinsisältö Täydentävä tietämys Erityistietämys
1. Image formation     
2. Image processing     
3. Feature detection & matching     
4. Feature based alignment & image stitching     
5. Dense motion estimation     
6. Structure from motion     
7. Stereo and 3D reconstruction     
8. Recognition     

Ohjeita opiskelijalle osaamisen tasojen saavuttamiseksi

You must actively participate the lectures and do the exercises. In particular, familiarize yourself with the exercise questions before the exercise session.


Numerical evaluation scale (0-5)


Completion parts must belong to the same implementation


Tyyppi Nimi Tekijä ISBN URL Lisätiedot Tenttimateriaali
Book   Computer Vision: Algorithms and Applications   Richard Szeliski       Main course book (freely available online)   No   

Tietoa esitietovaatimuksista
Programming skills and basic knowledge of data structures and mathematics (linear algebra, probability) will be necessary.


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Päivittäjä: Ketola Susanna, 09.03.2018