Interpolation and Approximation for Visual Computing
Lecturer: Vassillen Chizhov
Examiner:
Dr. Joachim Weickert
Winter Term 2025/2026
Lectures (3h) with exercises (1h);
(6 ETCS points)
Lectures: Sessions with Q&A and Tutorial Sections
Monday, 12:15-14:00
Friday, 12:15-14:00
First Lecture: Friday 17 October
Description –
Prerequisites –
Registration
Target group: Students in the Master Programme Visual Computing
Lecture aim: Give an introduction to the concepts of interpolation
and (function) approximation. This includes
- interpolation and approximation with polynomials
- polynomial splines
- least-squares fitting
- some Fourier theory
- PDE-based interpolation
- radial basis functions
- applications in image processing
This course is suitable for students of visual computing, mathematics, and
computer science.
Students attending this course should be familiar with basic concepts of
(multi-dimensional) calculus and linear algebra as covered in introductory
maths course (such as Mathematik für Informatiker I-III). Mathematical
prerequisites which exceed the basic mathematics courses are provided within
the lecture notes. All material will be in English. Knowledge from image
processing may be helpful, but is not required.
You can register for the lecture in CMS.
|