| Les deux révisions précédentes
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Révision précédente
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ressources [2022/01/25 09:08]
moreajul |
ressources [2024/11/26 14:05] (Version actuelle)
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| 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]] | 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]] |
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| Pattern Recognition and Machine Learning, Christopher M. Bishop, Microsoft Research, 2006 \\ [[https://www.microsoft.com/en-us/research/people/cmbishop/prml-book/]] | {{ :springer-cover-image-220x300.jpeg?0x100|}} | {{ :springer-cover-image-220x300.jpeg?0x100|}} |
| | Pattern Recognition and Machine Learning, Christopher M. Bishop, Microsoft Research, 2006 \\ [[https://www.microsoft.com/en-us/research/people/cmbishop/prml-book/]] |
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| | 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]] | {{ :9780262015356.jpg?0x100|}} | | {{ :algorlszepesvari.jpg?0x100|}} |
| | Algorithms for Reinforcement Learning, Csaba Szepesvári, Morgan & Claypool, 2010 \\ [[https://sites.ualberta.ca/~szepesva/rlbook.html]] |
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| | 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]] | {{ :013608592x.jpg?0x100|}} | | {{ :9780262015356.jpg?0x100|}} |
| | 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]] |
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| | Deep Learning, Ian Goodfellow and Yoshua Bengio and Aaron Courville, MIT Press, 2016 \\ [[http://www.deeplearningbook.org/]] | {{ :deeplearning.jpg?0x100|}} | | {{ :013608592x.jpg?0x100|}} |
| | 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]] |
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| | Robotics, Vision and Control - Fundamental Algorithms In MATLAB, Second Edition, Peter Corke, Springer, 2017 \\ [[https://petercorke.com/books/robotics-vision-control-all-versions/]] | {{ :978-3-319-54413-7.jpeg?0x100|}} | | {{ :deeplearning.jpg?0x100|}} |
| | Deep Learning, Ian Goodfellow and Yoshua Bengio and Aaron Courville, MIT Press, 2016 \\ [[http://www.deeplearningbook.org/]] |
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| | Computer Vision : Algorithms and Applications, 2nd ed., Richard Szeliski, Facebook, 2021 \\ [[http://szeliski.org/Book/]] | {{ :szeliski2ndbookfrontcover.png?0x100|}} | | {{ :978-3-319-54413-7.jpeg?0x100|}} |
| | Robotics, Vision and Control - Fundamental Algorithms In MATLAB, Second Edition, Peter Corke, Springer, 2017 \\ [[https://petercorke.com/books/robotics-vision-control-all-versions/]] |
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| | Reinforcement Learning: An Introduction, Second Edition, Richard S. Sutton and Andrew G. Barto, MIT Press, 2018 \\ [[http://incompleteideas.net/book/the-book.html]] |
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| | {{ :szeliski2ndbookfrontcover.png?0x100|}} |
| | Computer Vision : Algorithms and Applications, 2nd ed., Richard Szeliski, Facebook, 2022 \\ [[http://szeliski.org/Book/]] |
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| ^ ^ ^ | |
| | Vision par ordinateur : outils fondamentaux, 2e édition, Radu Horaud et Olivier Monga, INRIA, 1995 \\ [[http://perception.inrialpes.fr/people/Horaud/livre-hermes.html]] | {{ :vo-horaudmonga.png?0x400 }} | | |
| | 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/]] | {{ :hzcover2.jpg?0x400 }} | | |
| | 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]] | {{ :9780387008936.png?0x400 }} | | |
| | Probabilistic Robotics, Sebastian Thrun, Wolfram Burgard and Dieter Fox, MIT Press, 2005 \\ [[http://www.probabilistic-robotics.org/]] | {{ :0262201623.jpg?0x400 }} | | |
| | 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]] | {{ :9783540275633.jpg?0x400 }} | | |
| | Pattern Recognition and Machine Learning, Christopher M. Bishop, Microsoft Research, 2006 \\ [[https://www.microsoft.com/en-us/research/people/cmbishop/prml-book/]] | {{ :springer-cover-image-220x300.jpeg?0x400 }} | | |
| | 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]] | {{ :9780262015356.jpg?0x400 }} | | |
| | 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]] | {{ :013608592x.jpg?0x400 }} | | |
| | Deep Learning, Ian Goodfellow and Yoshua Bengio and Aaron Courville, MIT Press, 2016 \\ [[http://www.deeplearningbook.org/]] | {{ :deeplearning.jpg?0x400 }} | | |
| | Robotics, Vision and Control - Fundamental Algorithms In MATLAB, Second Edition, Peter Corke, Springer, 2017 \\ [[https://petercorke.com/books/robotics-vision-control-all-versions/]] | {{ :978-3-319-54413-7.jpeg?0x400 }} | | |
| | Computer Vision : Algorithms and Applications, 2nd ed., Richard Szeliski, Facebook, 2021 \\ [[http://szeliski.org/Book/]] | {{ :szeliski2ndbookfrontcover.png?0x400 }} | | |
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| ====== Cours et séminaires de référence ====== | ====== Cours et séminaires de référence ====== |
| * Vision par ordinateur : [[https://vision.in.tum.de/teaching|Cours de l'équipe de D. Cremers (TU Münich)]] | * Vision par ordinateur : [[https://vision.in.tum.de/teaching|Cours de l'équipe de D. Cremers (TU Münich)]] |
| * Caméra à événements : [[https://sites.google.com/view/guillermogallego/teaching|Cours de G. Gallego (TU Berlin)]] | * Caméra à événements : [[https://sites.google.com/view/guillermogallego/teaching|Cours de G. Gallego (TU Berlin)]] |
| | * Apprentissage par renforcement : [[https://www.davidsilver.uk/teaching|Cours de D. Silver (UCL)]] |
| | |
| | ====== Tutoriels et documentations pour mise à niveau Python pour les sciences ====== |
| | |
| | * Avoir fait l'UV SR01 ou INF2 est un avantage pour mener à bien nos travaux pratiques |
| | * Tutoriel en anglais : [[https://python-course.eu/numerical-programming/]] |
| | * Tutoriel en français (seulement les bases) : [[https://python-scientific-lecture-notes.developpez.com/]] |
| | * Doc Python en français : [[https://docs.python.org/fr/3/]] |
| | * Doc NumPy : [[https://numpy.org/doc/stable/user/index.html]] |
| | * NumPy pour les habitués à Matlab : [[https://numpy.org/doc/stable/user/numpy-for-matlab-users.html]] |
| | * Doc Scikit-image : [[https://scikit-image.org/docs/stable/user_guide.html]] |
| | * Doc Scikit-learn : [[https://scikit-learn.org/stable/user_guide.html]] |
| | * Cours OpenCV gratuits : [[https://opencv.org/opencv-free-course/]] |
| | * Doc API OpenCV : [[https://docs.opencv.org/4.x/]] |
| |