Cours 1 : Introduction
Livres de référence:
Computer Vision (M1 ENS Ulm / ENS Paris-Saclay)
Cours 2: Géométrie projective
Trois réglages clefs dans appareil photo:
Cours 3: Matrice d’une caméra
Projets:
TP1: Canny Edges
Practical session 1: Canny Edges
TP2: Optical flow: zero normalized cross-correlations, Lukas Kanade algorithm
Practical session 2: Optical flow
TP4: Neural Networks
Practical session 4: Neural Networks
TP3: Mean Shift
Practical session 3: Mean Shift
Optional TP: Calibration
Practical session: Calibration
Final Summary: Dimensionality Reduction and Visualization of Representations
Final Summary for the final presentation