This part of the Applied AI course offers an introduction to data measurements used to digitalize our world in 3D as well as methods and algorithms for analyzing and reconstructing objects and scenes in 3D spaces
Syllabus:
Types of 3D data measurements
Local analysis of 3D data and scene classification
Neural Networks for 3D point clouds
3D Reconstruction of freeform and piece-wise planar objects
3D City modeling
Planning :
8 octobre 8h00-10h00 CM: Analysis of 3D data
8 octobre 10h15-11h45 Lab: Classification of urban scenes (VirtualBox / c++)
16 octobre 13h30-15h30 CM: 3D reconstruction of objects and scenes
16 octobre 15h45-17h15 Lab: Detection of planar shapes (VirtualBox / c++)
Download Lab courses (TPs) here
