Top 15 must-read computer vision books

What do I need to know about computer vision?

How it works

must-read computer vision books

Why is it relevant?

must-read computer vision books

Top 15 computer vision books to read

Computer vision: algorithm and applications by Richard Szeliski

Practical deep learning for cloud, mobile & edge by Siddha Ganju, Meher Kasam, and Anirudh Koul

Concise computer vision: an introduction into theory and algorithms by Reinhard Klette

Computer vision: principles, algorithms, applications, learning by E.R. Davies

Computer vision: models, learning and inference by Simon J.D. Prince

Deep learning for vision systems by Mohamed Elgendy

Modern computer vision with Pytorch by Yeshwanth Reddy and Kishore Ayyaderava

Multiple view geometry in computer vision by Richard Hartley and Andrew Zisserman

Learning OpenCV 4 computer vision with Python 3 by Joseph Howse and Joe Minichino

  • Latest in-depth cameras
  • 3D tracking
  • Augmented reality
  • Deep neural networks

Computer vision metrics: survey, taxonomy, and analysis by Scott Krig

Programming computer vision with Python by Jan Solem

Deep learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville

  • Probability theory
  • Linear algebra
  • Numerical computation
  • Machine learning

Computer vision: a modern approach by David A. Forsyth

Learn computer vision using OpenCV: with deep learning CNNs and RNNs by Sunila Gollapudi

  • Image and object detection
  • Tracking and motion analysis

Computer vision: advanced techniques and applications by Steve Holden

Summing up

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