12 Best Computer Vision Books
Goal: Find the best Computer Vision books according to the internet (not just one person's opinion).
Method:
- Search for "best computer vision books" and study the top 5+ pages.
- Add only the books mentioned 2+ times.
- Rank the results neatly here.
12 Best Computer Vision Books
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Multiple View Geometry in Computer Vision
by Richard Hartley
Computer Vision
A Modern Approach
by David A. Forsyth
Computer Vision
Models, Learning, and Inference
by Simon J. D. Prince
Computer Vision
Principles, Algorithms, Applications, Learning
by E. R. Davies
Computer Vision
Algorithms and Applications
by Richard Szeliski
Computer Vision Metrics
Survey, Taxonomy, and Analysis
by Scott Krig
Concise Computer Vision
An Introduction into Theory and Algorithms
by Reinhard Klette
Deep Learning for Vision Systems
by Mohamed Elgendy
Learning OpenCV 4 Computer Vision with Python 3
Get to Grips with Tools, Techniques, and Algorithms for Computer Vision and Machine Learning
by Joseph Howse
Modern Computer Vision with PyTorch
Explore Deep Learning Concepts and Implement Over 50 Real-World Image Applications
by V Kishore Ayyadevara
Practical Deep Learning for Cloud, Mobile, and Edge
Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow
by Anirudh Koul
Programming Computer Vision with Python
Tools and Algorithms for Analyzing Images
by Jan Erik Solem
Sources
- 1
8 Books for Getting Started With Computer Vision - MachineLearningMastery.com
machinelearningmastery.com
- 2
Best Books for Computer Vision | Kaggle
kaggle.com
- 3
15 Best Computer Vision Books - Updated listed 2022
folio3.ai
- 4
Top 15 must-read computer vision books | SuperAnnotate
blog.superannotate.com
- 5
Computer Visioncomputer Vision Books
viso.ai
