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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.
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
personal work on computer and report
N1=P
Pas de rattrapage
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.
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