Computer vision and OpenCV[edit | edit source]

Machine learning[edit | edit source]

Classic Texts[edit | edit source]

There are also a number of classical books for both topics:

  • Richard Szeliski. Computer Vision: Algorithms and Applications. Springer, 2010.

http://szeliski.org/Book/drafts/SzeliskiBook_20100903_draft.pdf

  • Gary Bradski and Adrian Kaehler. Learning OpenCV. O'Reilly, 2008.

https://www.bogotobogo.com/cplusplus/files/OReilly%20Learning%20OpenCV.pdf

  • Ian Goodfellow, Yoshua Bengio and Aaron Courville. Deep Learning. MIT Press, 2016.

https://github.com/janishar/mit-deep-learning-book-pdf

  • Christopher Bishop. Pattern recognition and machine learning. Springer, 2006.

https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf

Page data
Type Literature review
Authors Joshua M. Pearce
Published 2019
License CC-BY-SA-4.0
Impact Number of views to this page and its redirects. Updated once a month. Views by admins and bots are not counted. Multiple views during the same session are counted as one. 55
Issues Automatically detected page issues. Click on them to find out more. They may take some minutes to disappear after you fix them. No lead section, No main image
Cookies help us deliver our services. By using our services, you agree to our use of cookies.