Training - Introduction to VTK

Scientific visualization is the art of utilizing human visual cognition as a means to glean understanding and insight into scientific data, be it computed numerically or acquired by measurement.

Together with data analysis, it is a key component of today's scientific discovery process, in particular in the context of computational sciences, with application ranging from astrophysics to climatology, and from electromagnetics to mechanical engineering.​

The visualization toolkit (VTK) is an open-source, C++ software library dedicated to data visualization, image processing and computer graphics. Also offering Python and Java interfaces, it supports a broad class of visualization technique for a variety of data and attributes types.

The goal of this one-day training course is to provide a hands-on introduction to the basic data structure and operation model of VTK.
At the end of it, the trainee should be able to design and implement a VTK "pipeline" in order to analyse and visualize two or three dimensional data sets and interact with these.

This course, taught by a computational scientist and developer with over a decade worth of experience with VTK, is intended for an audience of computational as well as application scientists, engineers, post-docs, and students with a background or an interest in numerical simulation.

Pre-requisites
Basic knowledge of C++ and / or Python

PART 1

• Introduction (about 1 hour) - Background, goals and overview​

PART 2

• The VTK visualization "pipeline" (about 3 hours)
• VTK data structures, execution model

PART 3

• Data analysis and visualization (about 3 hours)
• Visualization Algorithms, filters, interaction

PART 4

• Open questions & answers session (about 1 hour)

Duration: 1 day

Language: English or French

Location: At the client's premises

Lecturer: Dr Philippe Pébaÿ