Essential Computer Vision (CV) resources

A set of major CV books, journals, blogs and more for you…

This post provides a collection of essential computer vision resources, including major books, journals, top conferences, blogs etc. all in one place for you.

Books

• Szeliski, R. (2010). Computer vision: algorithms and applications. Springer Science & Business Media. (book website; PDF link) . [MIT, UCBerkeley, Princeton CV course primary textbook]
• Forsyth, D. A., & Ponce, J. (2012). Computer Vision: A Modern Approach (2nd Edition). Prentice Hall. The first edition with the same book title was published on 2003. [MIT, UCBerkeley CV course secondary textbook]
• Prince, S. J. (2012). Computer vision: models, learning, and inference (book website; PDF link). Cambridge University Press.
• Fisher, R. B., Breckon, T. P., Dawson-Howe, K., Fitzgibbon, A., Robertson, C., Trucco, E., & Williams, C. K. (2014). Dictionary of computer vision and image processing. John Wiley & Sons.
• Hartley, R., & Zisserman, A. (2003). Multiple view geometry in computer vision. Cambridge university press.
• Marr, D. (1982). Vision: A computational investigation into the human representation and processing of visual information. MIT Press. Cambridge, Massachusetts. (book website)
• Bishop, C. (2006).Pattern Recognition and Machine Learning, Springer. (book website, PDF link)