Yes, several excellent books provide comprehensive insights into computer vision, catering to different expertise levels. For beginners, Learning OpenCV 4 by Adrian Kaehler and Gary Bradski is a great starting point. It introduces practical applications and hands-on projects using the OpenCV library. For a more theoretical approach, Computer Vision: Algorithms and Applications by Richard Szeliski is a widely recommended textbook that covers fundamental concepts and algorithms in computer vision. Advanced learners can explore Deep Learning for Computer Vision by Rajalingappaa Shanmugamani or Deep Learning for Vision Systems by Mohamed Elgendy, which focus on using deep learning frameworks like TensorFlow and PyTorch for computer vision tasks. These books not only explain the underlying principles but also provide practical examples, making them valuable resources for students, researchers, and professionals.
Is there any good books on computer vision?

- AI & Machine Learning
- Mastering Audio AI
- Information Retrieval 101
- The Definitive Guide to Building RAG Apps with LangChain
- Exploring Vector Database Use Cases
- All learn series →
Recommended AI Learn Series
VectorDB for GenAI Apps
Zilliz Cloud is a managed vector database perfect for building GenAI applications.
Try Zilliz Cloud for FreeKeep Reading
What is a binary large object (BLOB) in SQL?
A Binary Large Object (BLOB) in SQL refers to a data type that is designed to store large amounts of binary data. This d
How does denoising score matching fit into diffusion modeling?
Denoising score matching is an important concept in the context of diffusion modeling, which is a type of generative mod
How do serverless applications integrate with DevSecOps?
Serverless applications integrate with DevSecOps by embedding security practices directly into the development and deplo