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Interpolation and Approximation for Visual Computing

Winter Term 2025/2026

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


DescriptionPrerequisitesRegistration



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.


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