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Informatique et Mathématiques appliquées
Une voie, plusieurs choix

> Formation > Cursus ingénieur

Scientific visualization - 5MM2535V

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  • Number of hours

    • Lectures : 18.0
    • Tutorials : -
    • Laboratory works : -
    • Projects : -
    • Internship : -
    • Written tests : -
    ECTS : 1.5
  • Officials : Stefanie HAHMANN

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.

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

personal work on computer, short presentation and report.

N1=P
Pas de rattrapage

The exam is given in english only FR

Calendar

The course exists in the following branches:

  • Curriculum - Math. Modelling, Image & Simulation - Semester 9 (this course is given in english only EN)
  • Curriculum - Math. Modelling, Image & Simulation - Semester 9 (this course is given in english only EN)
  • Curriculum - Math. Modelling, Image & Simulation - Semester 9 (this course is given in english only EN)
see the course schedule for 2019-2020

Additional Information

Course ID : 5MM2535V
Course language(s): FR

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.

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Date of update January 15, 2017

Université Grenoble Alpes