Number of hours
- Lectures 18.0
- Projects -
- Tutorials -
- Internship -
- Laboratory works -
- Written tests -
ECTS
ECTS 1.5
Goal(s)
The course deals with scientific visualization that uses computer-generated images to help scientists to extract knowledge and understanding from experimental or simulated data (application fields range from geology and meteorology to aeronautic and medicine). Visualization, representation and modeling of very large, three dimensional (in domain), scattered data sets are the main issues of this course.
Responsible(s)
Stefanie HAHMANN
Content(s)
1 Data sets: examples, data structures, meshes, visualization software.
2 Scattered data modeling 2D and 3D
3 "Surface-on-surface" data visualization
4 Volume visualization: reconstruction from contours, isosurfaces, segmentation, hierarchical representations, "marching cubes" algorithm, volume rendering.
5 Flow visualization: streamlines, line integral convolution, topology of vector and tensor fields.
MATLAB, C/C++, Unix
Test
personal work on computer, short presentation and report.
N1=P
Pas de rattrapage
The exam is given in english only 
Calendar
The course exists in the following branches:
- Curriculum - Math. Modelling, Image & Simulation - Semester 9 (this course is given in english only
) - Curriculum - Math. Modelling, Image & Simulation - Semester 9 (this course is given in english only )
- Curriculum - Math. Modelling, Image & Simulation - Semester 9 (this course is given in english only )
Additional Information
Course ID : 5MM2535V
Course language(s):
The course is attached to the following structures:
You can find this course among all other courses.
Bibliography
A. Watt, M. Watt: Advanced animation and rendering techniques, Addison Wesley
Nielson G, Hagen H, Mueller H: Scientific Visualization, Overviews, Methodologies, and Techniques,
IEEE Computer Society Press, 1997.
Bajaj C: Scientific Visualization Techniques, John Wiley and Sons, 1997.