PA213 Advanced Computer Graphics

Faculty of Informatics
Spring 2020
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Teacher(s)
prof. Ing. Jiří Sochor, CSc. (lecturer)
Guaranteed by
prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. Ing. Jiří Sochor, CSc.
Supplier department: Department of Visual Computing – Faculty of Informatics
Timetable
Mon 17. 2. to Fri 15. 5. Tue 10:00–11:50 A218
Prerequisites
Basic algebra and geometry. The knowledge of computer graphics fundamentals.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 50 student(s).
Current registration and enrolment status: enrolled: 0/50, only registered: 0/50, only registered with preference (fields directly associated with the programme): 0/50
fields of study / plans the course is directly associated with
Course objectives
Lectures cover classical and the most important fields of interest in computer graphics. These are compared with current research results. Students should gain the purview of the key issues and research trends in computer graphics field.
Learning outcomes
At the end of the course students
- will understand the theoretical concepts of modern computer graphics;
- will be able to judge and evaluate the research and development trends in the field;
- will be able to asses the complexity of computer graphics algorithms;
- will be able to design complex graphics systems in various application areas.
Syllabus
  • Global illumination
  • Sampling and reconstruction
  • Rendering equation and its solution
  • Radiosity method
  • Monte Carlo and path tracing
  • Photon mapping
  • Participating media
  • BSSRDF models
  • Image-based rendering
  • Image Warping
  • Image-based modelling and rendering
  • The light field
  • Direct rendering of volume data
  • Terrain rendering
  • Point-based rendering
  • Matting
  • Collision detection
  • Forward Kinematics, Inverse Kinematics
  • All topics are explained with both mathematical description as well as its algorithmic counterpart. Students will learn theoretical basis of the above-described concepts, algorithms, and representations.
Literature
  • MUKUNDAN, R. Advanced methods in computer graphics : with examples in OpenGL. New York: Springer, 2012, xiii, 312. ISBN 9781447123392. info
  • DUTRÉ, Philip, Kavita BALA and Philippe BEKAERT. Advanced global illumination. 2nd ed. Wellesley: A K Peters, 2006, xvi, 366. ISBN 1568813074. info
  • ERICSON, Christer. Real-time collision detection. Amsterdam: Elsevier, 2005, xxxviii, 5. ISBN 1558607323. info
  • WATT, Alan H. 3D Computer Graphics. 2nd ed. Wokingham: Addison-Wesley Publishing Company, 1993, 500 s., ob. ISBN 0-201-63186-5. info
  • ACM Digital Library - www.acm.org/dl
Teaching methods
Unrecorded lectures on various theoretical topics covering key and hot research areas. Class discussions. Study materials: Slides available on the intranet, ACM Digital Library.
Assessment methods
Written exam, 5 questions (10 pts each), 90 minutes, minimum 20 pts
Language of instruction
English
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~sochor/PA213
The course is also listed under the following terms Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (Spring 2020, recent)
  • Permalink: https://is.muni.cz/course/fi/spring2020/PA213