PA213 Advanced Computer Graphics

Faculty of Informatics
Spring 2024
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Taught in person.
RNDr. Jan Byška, Ph.D. (lecturer)
Mgr. Marek Trtík, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Barbora Kozlíková, Ph.D.
Department of Visual Computing – Faculty of Informatics
Contact Person: RNDr. Jan Byška, Ph.D.
Supplier department: Department of Visual Computing – Faculty of Informatics
Wed 14:00–15:50 B311
Basic algebra and geometry. The knowledge of computer graphics fundamentals (in a range of the PB009 and PA010 courses) and basic GPU programming (in a range of the PV112 and PV227 courses).
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: 15/50, 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
there are 53 fields of study the course is directly associated with, display
Course objectives
Invited lectures covering the latest research results and challenges in specific fields related to computer graphics, and programming sessions on selected algorithms. Students should gain an overview of the research trends in the computer graphics field and get practical experience with the implementation of CG algorithms.
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 implement algorithms in various application areas.
  • Selected topics from the list below will be presented by experts in these fields. Students will learn about theoretical basis of their concepts and algorithms, and will get an experience with implementation as well.
  • 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
  • MUKUNDAN, R. Advanced methods in computer graphics : with examples in OpenGL. New York: Springer. xiii, 312. ISBN 9781447123392. 2012. info
  • DUTRÉ, Philip, Kavita BALA and Philippe BEKAERT. Advanced global illumination. 2nd ed. Wellesley: A K Peters. xvi, 366. ISBN 1568813074. 2006. info
  • ERICSON, Christer. Real-time collision detection. Amsterdam: Elsevier. xxxviii, 5. ISBN 1558607323. 2005. info
  • WATT, Alan H. 3D Computer Graphics. 2nd ed. Wokingham: Addison-Wesley Publishing Company. 500 s., ob. ISBN 0-201-63186-5. 1993. info
  • ACM Digital Library -
Teaching methods
Lectures (mostly invited) on selected topics covering key and hot research areas + implementation project.
Assessment methods
Final evaluation will be based on the student's work within the semester (project implementation).
Language of instruction
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Teacher's information
Detailed instructions will be available in the Interactive syllabus in the IS at the beginning of and within the semester.
The course is also listed under the following terms Spring 2020, Spring 2021, Spring 2022, Spring 2023.
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