252-5706-00L  Mathematical Foundations of Computer Graphics and Vision

SemesterSpring Semester 2018
LecturersM. R. Oswald, C. Öztireli
Periodicityyearly recurring course
Language of instructionEnglish



Courses

NumberTitleHoursLecturers
252-5706-00 VMathematical Foundations of Computer Graphics and Vision2 hrs
Tue09:15-11:00LFW E 11 »
M. R. Oswald, C. Öztireli
252-5706-00 UMathematical Foundations of Computer Graphics and Vision1 hrs
Tue11:15-12:00LFW E 11 »
M. R. Oswald, C. Öztireli

Catalogue data

AbstractThis course presents the fundamental mathematical tools and concepts used in computer graphics and vision. Each theoretical topic is introduced in the context of practical vision or graphic problems, showcasing its importance in real-world applications.
ObjectiveThe main goal is to equip the students with the key mathematical tools necessary to understand state-of-the-art algorithms in vision and graphics. In addition to the theoretical part, the students will learn how to use these mathematical tools to solve a wide range of practical problems in visual computing. After successfully completing this course, the students will be able to apply these mathematical concepts and tools to practical industrial and academic projects in visual computing.
ContentThe theory behind various mathematical concepts and tools will be introduced, and their practical utility will be showcased in diverse applications in computer graphics and vision. The course will cover topics in sampling, reconstruction, approximation, optimization, robust fitting, differentiation, quadrature and spectral methods. Applications will include 3D surface reconstruction, camera pose estimation, image editing, data projection, character animation, structure-aware geometry processing, and rendering.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits4 credits
ExaminersC. Öztireli, M. R. Oswald
Typesession examination
Language of examinationEnglish
RepetitionThe performance assessment is only offered in the session after the course unit. Repetition only possible after re-enrolling.
Mode of examinationoral 20 minutes
Additional information on mode of examinationhomeworks account for 70% of the final grade, and the oral exam accounts for 30%
This information can be updated until the beginning of the semester; information on the examination timetable is binding.

Learning materials

 
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Offered in

ProgrammeSectionType
CAS in Computer ScienceFocus Courses and ElectivesWInformation
Computer Science MasterElective Focus Courses General StudiesWInformation
Computer Science MasterFocus Elective Courses Visual ComputingWInformation