https://www.unite.ai/10-best-image-processing-libraries-in-python/
https://boofcv.org/index.php?title=Main_Page
https://docs.openvino.ai/latest/index.html
https://www.superannotate.com/blog/computer-vision-libraries#popular-computer-vision-libraries
https://neptune.ai/blog/image-processing-python-libraries-for-machine-learning
http://szeliski.org/papers/Szeliski_Last_10_Years_Computer_Vision.pdf
Slide sets and lectures
There are no official slide sets to go with the book, but please feel free to look at the University of Washington CSE 576 (Graduate Computer Vision) (2020 and 2008 versions) slides that Steve Seitz and I have put together.
Additional good sources for related courses (sorted roughly by most recent first) include:
- Noah Snavely’s CS5670 – Introduction to Computer Vision class at Cornell Tech (Spring 2022)
- Bill Freeman, Antonio Torralba, and Phillip Isola’s 6.819/6.869: Advances in Computer Vision class at MIT (Spring 2021)
- Yann LeCun and Alfredo Canziani’s DS-GA 1008: Deep Learning class at NYU (Spring 2021)
- Yasutaka Furukawa’s CMPT 762 – Computer Vision class at Simon Fraser University (Spring 2021)
- Luiz Velho’s Fundamentals and Trends in Vision and Image Processing class at IMPA (Spring 2021)
- David Fouhey’s and Justin Johnson’s EECS 442: Computer Vision class at the University of Michigan (Winter 2021)
- Justin Johnson’s EECS 498-007 / 598-005: Deep Learning for Computer Vision class at the University of Michigan (Fall 2020),
which is an outstanding introduction to deep learning and visual recognition - Alyosha Efros’ CS194-26/294-26: Intro to Computer Vision and Computational Photography class at Berkeley (Fall 2020)
- Ioannis Gkioulekas’s 15-463, 15-663, 15-862 Computational Photography class at CMU (Fall 2020)
- Ioannis Gkioulekas’s 16-385 Computer Vision class at CMU (Spring 202-)
- UC Berkeley’s CS294-158-SP20: Deep Unsupervised Learning class (Spring 2020)
- Scott Wehrwein’s CSCI 497P/597P – Introduction to Computer Vision class at Western Washington University (Spring 2020)
- Andrew Owens’ EECS 504: Foundations of Computer Vision class at the University of Michigan (Winter 2020)
- Frank Dellaert’s CS 4476 Introduction to Computer Vision class at Georgia Tech (Fall 2019)
- Pascal Fua’s CS-442 Introduction to Computer Vision class at EPFL (Spring 2019)
- Alyosha Efros, Jitendra Malik, and Stella Yu’s CS280: Computer Vision class at Berkeley (Spring 2018)
- Deva Ramanan’s 16-720 Computer Vision class at CMU (Spring 2017)
- Trevor Darrell’s CS 280 Computer Vision class at Berkeley
- Antonio Torralba’s 6.869 Advances in Computer Vision class at MIT
- Michael Black’s CS 143 Introduction to Computer Vision class at Brown
- Kristen Grauman’s CS 378 Computer Vision class at UT Austin
- Alyosha Efros’ 15-463 Computational Photography and 16-721 Learning-Based Methods in Vision classes at Carnegie Mellon
If you would like your course listed here, please contact me.
