Elena Sikudova

ResearchGate
ORCID iD iconorcid.org

kniha Počítačové videnie

Book cover



Errata k tlačenej knihe



Teaching

Machine Learning in Computer Vision - materials

Class evaluation:

written exam
project
more than 50% in both needed


Lecture 1:

slides

Lecture 2:

slides, matlab code, data

Lecture 3:

slides, matlab code, data

Lecture 4:

slides, matlab code and data

Lecture 5:

slides, matlab code

Lecture 6:

slides, matlab code

Lecture 7:

slides, matlab code

Lecture 8:

slides, matlab code

Lecture 9:

slides, matlab code

Practical course in matlab - materials

Class evaluation:

2 small assignments during the semester (10 points each)
1 big assignment at the end of the semester (20 points)
You will pass, if you get more than 20 points


Lecture 1:

slides, apple image, orange image, image A, image B

Lecture 2:

slides,

Lecture 3:

slides, image,

Lecture 4:

slides, mozaika

Lecture 5:

slides,

Lecture 6:

slides, images,

Lecture 7:

slides, data,

Lecture 8:

slides,

My current projects

A Gamut-Mapping Framework for Color-Accurate Reproduction of HDR Images
Elena Sikudova, Tania Pouli, Alessandro Artusi, Ahmet Oguz Akyuz, Francesco Banterle, Zeynep Miray Mazlumoglu, Erik Reinhard


IEEE Computer Graphics and Applications, vol.36, no. 4, pp. 78-90, July-Aug. 2016, doi:10.1109/MCG.2015.116

IEEE Computer Graphics and Applications

IEEEexplore

Supplemental materials


Copyright (C) 2017 E.Sikudova