Delivered at:: Department of Informatics

Course type:: Elective course

When:: 2 year, 1, 2 module

Instructors

Коваленко Лев Алексеевич

Kuznetsov, Anton

Full Syllabus

Abstract

It is an elective discipline. The discipline is aimed at familiarizing students with the main tasks and methods of computer vision, such as image processing, image alignment and comparison, image classification, image search by content, object selection, object segmentation, image stylization, image synthesis, optical flow calculation, support of single and multiple targets, event recognition, 3D reconstruction from images. To master the discipline, students need to have knowledge gained as a result of studying the disciplines "Mathematical Analysis", "Linear Algebra and Geometry", "Probability Theory and Mathematical Statistics", "Machine Learning", "Algorithms and Data Structures".

Learning Objectives

Formation of students' theoretical knowledge and practical skills on the basics of building high-performance graphics systems.

Expected Learning Outcomes

Knows the mathematical apparatus of modern computer graphics; basic techniques and simplifications to achieve realistic computer graphics.
Able to use modern algorithms for creating three-dimensional computer programs; apply various effects to achieve the realism of the displayed image.
Has skills in solving basic problems of computer graphics using various algorithms; skills in the development of modern applications with intensive use of computer graphics methods.
Knows algorithms for image synthesis. Owns the concept of color in computer graphics. Owns the concepts of the pyramid of visibility; projective transformations; graphics pipeline. Knows texturing.

Course Contents

Section 1. Introduction. Color, texturing
Section 2. Lighting models. Shadows. Effects based on particle systems
Section 3. Image smoothing. Photometry and radiometry.
Section 4. Relief modeling. Text rendering. Animation.

Assessment Elements

Course project
The course project is issued to students in three versions. Deadline - 3 weeks. The form of presentation by students of the course project is an application for Android.
Exam
The exam is conducted in the form of answers to the questions of the examination ticket. The examination ticket is formed from two random questions from the list of questions for the exam. 1 hour is allotted for answering.

Interim Assessment

2024/2025 2nd module
0.5 * Course project + 0.5 * Exam

Bibliography

Recommended Core Bibliography

OpenCV и Java. Обработка изображений и компьютерное зрение - 978-5-9775-3955-5 - Прохоренок Н.А. - 2018 - Санкт-Петербург: БХВ-Петербург - https://ibooks.ru/bookshelf/358884 - 358884 - iBOOKS
Баранов С.Н., Толкач С.Г. - Основы компьютерной графики - Сибирский федеральный университет - 2018 - ISBN: 978-5-7638-3968-5 - Текст электронный // ЭБС ZNANIUM - URL: https://znanium.com/catalog/document?id=342164
Колошкина, И. Е. Компьютерная графика : учебник и практикум для вузов / И. Е. Колошкина, В. А. Селезнев, С. А. Дмитроченко. — 3-е изд., испр. и доп. — Москва : Издательство Юрайт, 2023. — 233 с. — (Высшее образование). — ISBN 978-5-534-12341-8. — Текст : электронный // Образовательная платформа Юрайт [сайт]. — URL: https://urait.ru/bcode/513030 (дата обращения: 27.08.2024).

Recommended Additional Bibliography

Vince, J. (2006). Mathematics for Computer Graphics (Vol. 2nd ed). London: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=150552

Authors

KUZNETSOV ANTON Mikhailovich
Юдаева Оксана Юрьевна
Спицина Кристина Станиславовна

Master’s Programme 'Machine Learning and Data Analysis'

Computer Vision