# 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

#### Lecture 8:

slides,

image,

lecture matlab code
#### Lecture 9:

slides,

data,

lecture matlab code
#### Lecture 10:

slides,

data,

lecture matlab code
#### Lecture 11:

slides,

data
#### Lecture 12:

slides
#### HW3:

task description
due date: in 4 weeks the latest (6., 7.2.)

follow the instructions, look in the slides as well

### kniha Počítačové videnie

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