Table des matières

Livres de référence

Vision par ordinateur : outils fondamentaux, 2e édition, Radu Horaud et Olivier Monga, INRIA, 1995
http://perception.inrialpes.fr/people/Horaud/livre-hermes.html


Multiple View Geometry in Computer Vision, Second Edition, Richard Hartley and Andrew Zisserman, Cambridge University Press, 2004
http://www.robots.ox.ac.uk/~vgg/hzbook/


An Invitation to 3-D Vision : From Images to Geometric Models, Yi Ma & Stefano Soatto & Jana Kosecka & S. Shankar Sastry, Springer, 2004
http://www.springer.com/fr/book/9780387008936#otherversion=9781441918468


Probabilistic Robotics, Sebastian Thrun, Wolfram Burgard and Dieter Fox, MIT Press, 2005
http://www.probabilistic-robotics.org/


Digital Image Processing, 6th edition, Bernd Jähne, Springer, 2005
https://www.springer.com/fr/book/9783540240358
Pour les germanophones, 8e édition, 2022
https://www.springer.com/fr/book/9783662595091


Pattern Recognition and Machine Learning, Christopher M. Bishop, Microsoft Research, 2006
https://www.microsoft.com/en-us/research/people/cmbishop/prml-book/


Introduction to Autonomous Mobile Robots, Second Edition, Roland Siegwart, Illah Reza Nourbakhsh and Davide Scaramuzza, MIT Press, 2011
https://mitpress.mit.edu/books/introduction-autonomous-mobile-robots-second-edition


Computer Vision: A Modern Approach, 2nd Edition, David A. Forsyth and Jean Ponce, Pearson, 2012
https://www.pearson.com/us/higher-education/program/Forsyth-Computer-Vision-A-Modern-Approach-2nd-Edition/PGM111082.html


Deep Learning, Ian Goodfellow and Yoshua Bengio and Aaron Courville, MIT Press, 2016
http://www.deeplearningbook.org/


Robotics, Vision and Control - Fundamental Algorithms In MATLAB, Second Edition, Peter Corke, Springer, 2017
https://petercorke.com/books/robotics-vision-control-all-versions/


Computer Vision : Algorithms and Applications, 2nd ed., Richard Szeliski, Facebook, 2022
http://szeliski.org/Book/

Cours et séminaires de référence

Tutoriels et documentations pour mise à niveau Python pour les sciences