The course alternates between theoretical presentations, technical demonstrations, field capture sessions and workshop processing sessions. Participants will familiarize themselves with the various techniques during a semi-common exercise. Group discussions and individual follow-up will enable the content to be adapted to each participant's specific needs.
Session 1 - Introduction to spatial representation and point clouds
Introduction and introduction of participants
History and theory of spatial representation
Introduction to point clouds and their application in projects
Presentation of the exercise and discussion of personal projects
Reconstructing a perspective
Session 2 - Theory and practical introduction
The different capture methods
Equipment and first manipulations
Preparing capture sessions in the field
Session 3 - Field practice I
Site visit
Preparing for capture
Capture session
Session 4 - Field practice II
Capture session
Session 5 - Data processing I
Data assembly
Personal project work
Session 6 - Data processing II
Data cleaning and representation
Work on personal projects
Session 7 - Immersive visualization
2D data visualization
Online data sharing
Immersive visualization, mixed, augmented and virtual reality, point clouds
Session 8 - Project presentation and discussion
Finalizing personal projects
Presentation of personal projects and group discussion
Future prospects