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Обычная версия сайта
2023/2024

Компьютерное зрение

Лучший по критерию «Полезность курса для Вашей будущей карьеры»
Лучший по критерию «Полезность курса для расширения кругозора и разностороннего развития»
Лучший по критерию «Новизна полученных знаний»
Статус: Маго-лего
Когда читается: 1, 2 модуль
Охват аудитории: для своего кампуса
Язык: английский
Кредиты: 6
Контактные часы: 44

Course 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

Learning Objectives

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

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

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

Assessment Elements

  • blocking 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.
  • blocking 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

Interim Assessment

  • 2023/2024 2nd module
    0.5 * Course project + 0.5 * Exam
Bibliography

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

  • Спицина Кристина Станиславовна
  • KUZNETSOV ANTON MIKHAYLOVICH