FI:PA213 Advanced Computer Graphics - Course Information
PA213 Advanced Computer Graphics
Faculty of InformaticsSpring 2024
- Extent and Intensity
- 2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
- Teacher(s)
- 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 - Timetable
- Wed 14:00–15:50 B311
- Prerequisites
- 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: 13/50, 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
- Image Processing and Analysis (programme FI, N-VIZ)
- Applied Informatics (programme FI, N-AP)
- Information Technology Security (eng.) (programme FI, N-IN)
- Information Technology Security (programme FI, N-IN)
- Bioinformatics and systems biology (programme FI, N-UIZD)
- Bioinformatics (programme FI, N-AP)
- Computer Games Development (programme FI, N-VIZ_A)
- Computer Graphics and Visualisation (programme FI, N-VIZ_A)
- Computer Networks and Communications (programme FI, N-PSKB_A)
- Cybersecurity Management (programme FI, N-RSSS_A)
- Discrete algorithms and models (programme FI, N-TEI)
- Formal analysis of computer systems (programme FI, N-TEI)
- Graphic design (programme FI, N-VIZ)
- Graphic Design (programme FI, N-VIZ_A)
- Hardware Systems (programme FI, N-PSKB_A)
- Hardware systems (programme FI, N-PSKB)
- Image Processing and Analysis (programme FI, N-VIZ_A)
- Information security (programme FI, N-PSKB)
- Information Systems (programme FI, N-IN)
- Informatics (eng.) (programme FI, D-IN4)
- Informatics (programme FI, D-IN4)
- Information Security (programme FI, N-PSKB_A)
- Quantum and Other Nonclassical Computational Models (programme FI, N-TEI)
- Parallel and Distributed Systems (programme FI, N-IN)
- Computer graphics and visualisation (programme FI, N-VIZ)
- Computer Graphics (programme FI, N-IN)
- Computer Networks and Communication (programme FI, N-IN)
- Computer Networks and Communications (programme FI, N-PSKB)
- Computer Systems and Technologies (eng.) (programme FI, D-IN4)
- Computer Systems and Technologies (programme FI, D-IN4)
- Computer Systems (programme FI, N-IN)
- Principles of programming languages (programme FI, N-TEI)
- Embedded Systems (eng.) (programme FI, N-IN)
- Embedded Systems (programme FI, N-IN)
- Cybersecurity management (programme FI, N-RSSS)
- Services development management (programme FI, N-RSSS)
- Software Systems Development Management (programme FI, N-RSSS)
- Services Development Management (programme FI, N-RSSS_A)
- Service Science, Management and Engineering (eng.) (programme FI, N-AP)
- Service Science, Management and Engineering (programme FI, N-AP)
- Social Informatics (programme FI, B-AP)
- Software Systems Development Management (programme FI, N-RSSS_A)
- Software Systems (programme FI, N-PSKB_A)
- Software systems (programme FI, N-PSKB)
- Machine learning and artificial intelligence (programme FI, N-UIZD)
- Theoretical Informatics (programme FI, N-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
- Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
- Computer Games Development (programme FI, N-VIZ)
- Processing and analysis of large-scale data (programme FI, N-UIZD)
- Image Processing (programme FI, N-AP)
- Natural language processing (programme FI, N-UIZD)
- 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. - Syllabus
- 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
- 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
- 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
- English
- Follow-Up Courses
- Further comments (probably available only in Czech)
- 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.
- Enrolment Statistics (Spring 2024, recent)
- Permalink: https://is.muni.cz/course/fi/spring2024/PA213