Elena Sikudova

Teaching

Practical course in computer vision - materials

Class evaluation:

2 small assignments during the semester (10 points each, individual work)
1 big assignment at the end of the semester (20 points, teamwork 2-3 students)
You will pass, if you get more than 20 points


Lecture 1:

slides

Lecture 2:

slides, matlab code, mosaic image

Lecture 3:

slides, lecture matlab code, einstein image, eye image

HW1, part 1:

homework project 1 (part 1), computeHOG code
hand in ONLY the code
next week before class by mail
sign the mail (mail without your name is not counted as a solution)
HW solution code for negative samples

Lecture 4:

slides, lecture matlab code

HW1, part 2:

homework project 1 (part 2)
hand in the PDF
next week before class by mail
sign the mail

Lecture 5:

slides, images, macbeth palette, lecture matlab code

Lecture 6:

slides, images, lecture matlab code

Lecture 7:

slides, data, lecture matlab code

HW2:

task description
due date: before class in two weeks (5., 6.12.)
follow the instructions


kniha Počítačové videnie

Book cover



Errata k tlačenej knihe



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