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Informatique et Mathématiques appliquées
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> Formation > Cursus ingénieur

Scientific visualization - 5MM2535V

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  • Number of hours

    • Lectures : 18.0
    ECTS : 1.5

Goals

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.

Contact Stefanie HAHMANN

Content

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.



Prerequisites

MATLAB, C/C++, Unix

Tests

Semester 9 - The exam is given in english only 

personal work on computer, short presentation and report.



N1=P
Pas de rattrapage

Additional Information

Semester 9 - This course is given in english only EN

Curriculum->Math. Modelling, Image & Simulation->Semester 9

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.

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Date of update January 15, 2017

Grenoble INP Institut d'ingénierie Univ. Grenoble Alpes