Course on Applied AI (3D part)

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 :
26 septembre    8h00-10h00   CM:  Analysis of 3D data
26 septembre    10h15-11h45   Lab: Classification of urban scenes (VirtualBox / c++)
3 octobre    8h00-10h00   CM: 3D reconstruction of objects and scenes
3 octobre    10h15-11h45   Lab: Detection of planar shapes (VirtualBox / c++)

Download Lab courses (TPs) here

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