Number of hours
- Lectures 18.0
- Projects -
- Tutorials -
- Internship -
- Laboratory works 12.0
- Written tests -
ECTS
ECTS 3.0
Goal(s)
Description: Interpolating a set of discrete samples (points/normals/tangents/etc) is a common task in computer graphics. For instance, these techniques can be used to reconstruct a surface from a point cloud, to edit/restore images or to interpolate motion capture data. This lecture presents useful methods to interpolate and approximate discrete data, including:
interpolation/approximation from organized/parametrized data
explicit reconstruction from scattered data (Delaunay triangulation, crust,…)
implicit surface reconstruction (MLS, marching cube,…)
Responsible(s)
-
Content(s)
Interpolating a set of discrete samples (points/normals/tangents/etc) is a common task in computer graphics. For instance, these techniques can be used to reconstruct a surface from a point cloud, to edit/restore images or to interpolate motion capture data. This lecture presents useful methods to interpolate and approximate discrete data, including:
- interpolation/approximation from organized/parametrized data
- explicit reconstruction from scattered data (delaunay triangulation, crust,...)
- implicit surface reconstruction (moving least squares, marching cube,...)
Basic linear algebra
Test
l'évaluation se fait avec 3 critères :
- des TP notés (contrôle continue)
- un examen oral qui consiste en une présentation d'article scientifique des étudiants
- un mini-projet qui regroupe les concepts vus pendant le cours.
Scattered Data Interpolation and Approximation for Computer Graphics (Siggraph Asia course 2010)
Implicit surface reconstruction from point clouds (Johan Huysmans thesis)
The Method of Least Squares (Steven J. Miller)
The exam is given in english only 
Additional Information
Course ID : WMM9AM12
Course language(s):
You can find this course among all other courses.