Scientific Visualization

Head Instructor:
Julien Tierny
julien dot tierny at lip6 dot fr

What?

Scientific Visualization is a field of Computer Science that studies the process of generating intelligible and interactive graphical representations of scientific data-sets, either obtained from numerical simulations (computational fluid dynamics, mechanical design, cosmology, chemistry, etc.) or acquisition (medicine, seismology, etc.).

As such, visualization is an essential component of the modern scientific methodology pipeline, which plays a key role in research and development activities through:
· The visual exploration of scientific data for hypothesis formulation, model verification or intuition validation;
· The geometrical analysis and interpretation of numerical results;
· The communication of scientific results through graphical and interactive material.

Scientific Visualization covers several topics of computer science, including for example:
· 3D Rendering,
· User interactions,
· And most importantly geometrical and topological analysis of discrete scientific data.

Who?

This class targets students (Master level) following computer science tracks, covering topics such as:
· Scientific Engineering,
· Modeling and Simulation,
· Applied Mathematics,
· Computer Graphics or
· Multimedia Engineering.

What for?

The content of this class is useful for any student targeting research and development activities (either in the academy or the industry) in physical sciences, numerical simulation, scientific engineering or software engineering.
It provides knowledge that is complementary to numerical simulation classes, as visualization is an essential component of the simulation pipeline.
It is also a "must-select" for students targeting jobs in 3D modeling, simulation, analysis and rendering software industry.

Detailed syllabus

The class is composed of 6 lectures (1h30 each), covering the following topics:

		Introduction to scientific visualization Instructor: Julien Tierny. This lecture presents a general introduction to scientific visualization, its purpose, its motivations and its scope. Exercise package.
		Domain representations Instructor: Julien Tierny. This lecture presents the formalisms, data-structures and algorithms for the representation and manipulation of numerical domains and shapes: · Euclidean sub-spaces: 1D, 2D, 3D and nD regular grids; · Non-euclidean spaces: 1D, 2D, 3D and nD piecewise-linear manifolds (triangulations). Exercise package.
		Scalar field visualization Instructor: Julien Tierny. This lecture presents the fundamental techniques for the graphical representation of scalar fields (usually found in all types of numerical simulations): · Color maps and volume rendering; · Level-set extraction; · Accelerating structures; · Scalar field topology and simplification; Exercise package.
		Vector field visualization Instructor: Julien Tierny. This lecture presents the fundamental techniques for the graphical representation of vector fields (usually found in computational fluid dynamics): · Integral line and integral surface computation; · Integral line convolution; · Derived scalar fields; · Vector field topology; Exercise package.
		Tensor field visualization Instructor: Julien Tierny. This lecture presents the fundamental techniques for the graphical representation of tensor fields (usually found in mechanical design, meshing, diffusion simulations, etc.): · Glyph generation and packing; · Derived scalar and vector fields; · Hyper integral lines; · Hyper integral line convolution; · Tensor field topology; Exercise package.
		Illustrative visualization Instructor: Tobias Isenberg. This lecture presents an introduction to illustrative visualization for scientific data.

There will also be 4 practical sessions (2 hours each), where the students will learn the usage of the Paraview visualization system, as well as the C++ programming of visualization applications with the Visualization ToolKit library.
Instructor: Charles Gueunet.

These sessions will re-visit from a practical perspective the topics covered during the lectures, including:
· Introduction to Paraview and review of the conversion of numerical data-sets to Paraview and VTK formats;
· Isosurface extraction in scalar fields;
· Integral line computation;
· Glyphs representation and packing.

Personal work

The grading of this class is based on three evaluations:
· A written exam (last session of the class, 33% of the global grade);
· A scientific seminar where each student presents a recent scientific paper on visualization for 15 minutes (last session of the class, 33% of the global grade);
· Programming exercises (33% of the global grade);
Last year's average global grade for the class was: 14.07/20.

Programming exercises

Each programming exercise will be graded. At the beginning of each exercise session, students are expected to return their complete implementation of the previous exercise session.
Last year's exercise average grade was: 13.66/20.

Seminar

· At the beginning of the class, a list of recent scientific papers on visualization is presented to the students. Each student must select one paper to present.
· During the last session of the class, each student presents his/her paper, explaining what the contributions of the paper are, what its strengths and weaknesses are and why he/she personally chose to present this paper.
· Each presentation is followed by a 5 minutes QA session.
Last year's seminar average grade was: 14.15/20.

>>> Seminar webpage.

Exam

A 20-minute written exam will be given at the beginning of the last session of the class (multiple choice test).
Last year's exam (pdf).
Last year's exam average grade was: 14.38/20.

References

· Paraview
· The Visualization Tool Kit
· The Visualization Tool Kit Textbook

Internships, Ph.D. Thesis, permanent positions in visualization

Each year, several research internships on visualization topics (topology analysis, rendering, data-exploration) are proposed (either in academic or industrial environments). These internships can usually be followed by a Ph.D. thesis. Please contact the instructors for more information.

2018-2019

2017-2018

Updated on Jan. 21, 2022.