252-0543-01L  Computer Graphics

SemesterAutumn Semester 2020
LecturersM. Gross, M. Papas
Periodicityyearly recurring course
Language of instructionEnglish


252-0543-01 VComputer Graphics
The lecturers will communicate the exact lesson times of ONLINE courses.
3 hrs
Tue13:00-14:00ON LI NE »
Fri10:00-12:00ON LI NE »
09.10.10:15-12:00HG E 1.1 »
M. Gross, M. Papas
252-0543-01 UComputer Graphics
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Fri14:00-16:00ON LI NE »
M. Gross, M. Papas
252-0543-01 AComputer Graphics2 hrsM. Gross, M. Papas

Catalogue data

AbstractThis course covers some of the fundamental concepts of computer graphics generation of photorealistic images from digital representations of 3D scenes and image-based methods for recovering digital scene representations from captured images.
ObjectiveAt the end of the course the students will be able to build a rendering system. The students will study the basic principles of rendering and image synthesis. In addition, the course is intended to stimulate the students' curiosity to explore the field of computer graphics in subsequent courses or on their own.
ContentThis course covers fundamental concepts of modern computer graphics. Students will learn about 3D object representations and the details of how to generate photorealistic images from digital representations of 3D scenes. Starting with an introduction to 3D shape modeling, geometry representation and texture mapping, we will move on to the physics of light transport, acceleration structures, appearance modeling and Monte Carlo integration. We will apply these principles for computing light transport of direct and global illumination due to surfaces and participating media. We will end with an overview of modern image-based capture and image synthesis methods, covering topics such as geometry and material capture, light-fields and depth-image based rendering.
Lecture notesno
High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting
Multiple view geometry in computer vision
Physically Based Rendering: From Theory to Implementation
Prerequisites / NoticePrerequisites:
Fundamentals of calculus and linear algebra, basic concepts of algorithms and data structures, programming skills in C++, Visual Computing course recommended.
The programming assignments will be in C++. This will not be taught in the class.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits8 credits
ExaminersM. Gross, M. Papas
Typesession examination
Language of examinationEnglish
RepetitionThe performance assessment is offered every session. Repetition possible without re-enrolling for the course unit.
Mode of examinationwritten 120 minutes
Additional information on mode of examinationThere will be graded exercises (mandatory) as well as a final exam. The final grade of the exercises and the grade of the exam will be weighted, each 1/2, and summed up to the final grade of the student.
Written aidsKeine.
This information can be updated until the beginning of the semester; information on the examination timetable is binding.

Learning materials

Main linkInformation
Only public learning materials are listed.


No information on groups available.


There are no additional restrictions for the registration.

Offered in

Biomedical Engineering MasterRecommended Elective CoursesWInformation
CAS in Computer ScienceFocus Courses and ElectivesWInformation
Cyber Security MasterElectivesWInformation
Cyber Security MasterElective CoursesWInformation
Computer Science MasterCore CoursesWInformation
Computer Science MasterMinor in Computer GraphicsWInformation
Computer Science MasterFocus Elective Courses General StudiesWInformation
Computer Science MasterFocus Elective Courses Computational ScienceWInformation
Computer Science MasterFocus Elective Courses Visual ComputingWInformation
Mechanical Engineering MasterMechanics, Materials, StructuresWInformation
Computational Science and Engineering BachelorElectivesWInformation
Computational Science and Engineering MasterElectivesWInformation