OpenCV or Open Source Computer Vision Library, is an open-source computer vision and machine learning software library. It’s extensively used for real-time computer vision tasks such as object detection, face recognition, image processing, etc. Whether you’re a beginner or an experienced developer looking to deepen your understanding of OpenCV, here is a list of seven must-read books that cater to both beginners and seasoned developers looking to harness the power of OpenCV.
Top Open CV Books
Top Books for OpenCV
Table of Content
Here are some top books for learning and mastering OpenCV, each catering to different levels of expertise and focusing on various aspects of computer vision:
1. Learning OpenCV 4: Computer Vision with Python 3
This book is a comprehensive guide designed for beginners to intermediate users. It thoroughly explores the fundamental concepts of computer vision, image processing, and machine learning, all through the lens of OpenCV and Python. The book is packed with hands-on examples and projects, helping readers to build real-world applications such as object detection and face recognition.
Key Features:
- Detailed exploration of OpenCV functions with Python.
- Hands-on projects including building systems for real-time face recognition and object detection.
- Focuses on practical implementation alongside theory, suitable for both classroom learning and self-study.
Range : Approximately ₹1,902.60 as an eBook on Kobo in India
Author: Joseph Howse, Joe Minichino, and Prateek Joshi
2. OpenCV 4 for Secret Agents
Perfect for those interested in applying computer vision to security and surveillance, this book dives into advanced OpenCV techniques. It includes topics like motion detection, tracking, and building intelligent surveillance systems. Readers will find practical examples and exercises to sharpen their skills in crafting sophisticated security applications.
Key Features:
- Specific focus on security applications like motion detection and people tracking.
- Provides blueprints for building advanced surveillance systems.
- Includes unique applications such as using OpenCV for espionage or personal security.
Range : Priced around $44.99
Author: Joseph Howse and Alexey Spizhevoy
3. Mastering OpenCV 4 with Python
Aimed at developers seeking a deep dive into OpenCV using Python, this book covers advanced topics including deep learning with TensorFlow and Keras, 3D reconstruction, and augmented reality. It emphasizes practical implementations, providing insights into developing complex computer vision applications from the ground up.
Key Features:
- Comprehensive coverage of deep learning applications using TensorFlow and Keras.
- Techniques for 3D image reconstruction and creating augmented reality applications.
- Detailed code examples for advanced image processing, ideal for professionals looking to deepen their knowledge.
Range: Prices ranging roughly between $44.99 and $54.99
Author: Alberto Fernandez Villan
4. OpenCV 4 Computer Vision Projects with Python 3
For those who prefer a project-based learning approach, this book is ideal. It presents seven hands-on projects that span a range of computer vision tasks, including image classification, object tracking, and augmented reality. Each project offers step-by-step guidance, code samples, and detailed explanations to solidify understanding of key concepts.
Key Features:
- Project-based approach that covers a broad spectrum of computer vision applications.
- Includes projects on real-time image processing, video analysis, and automated image classification.
- Step-by-step instructions that are easy to follow and replicate.
Range: Range Price of $35 to $45
Author: Gabriel Garrido Calvo
5. OpenCV 3 Blueprints
Although it focuses on the earlier OpenCV 3, this book is invaluable for grasping core computer vision concepts and techniques. It features a collection of practical projects that explore diverse areas such as panorama stitching, optical character recognition (OCR), and gesture recognition.
Key Features:
- Practical and diverse projects such as advanced facial recognition systems and automated text recognition.
- Techniques for developing custom computer vision applications tailored to solve complex real-world problems.
Range: Priced around $44.99 to $54.99
Authors: Joseph Howse and Steven Puttemans
6. OpenCV Essentials
This book provides a succinct introduction to the essentials of OpenCV for newcomers. Covering basic topics like image manipulation, feature detection, and object tracking, it offers clear explanations and examples that help readers quickly understand and apply computer vision algorithms.
Key Features:
- Introductory text that emphasizes the foundational aspects of image processing.
- Explains complex concepts in a simple, approachable manner.
- Offers practical advice and quick solutions for common image processing challenges.
Range: Range of $35 to $44.99
Authors: Oscar Deniz Suarez, Mª del Milagro Fernandez Carrobles, Noelia Vallez Enano, Gloria Bueno Garcia, and Ismael Serrano Gracia
7. Python Computer Vision
Though not exclusively focused on OpenCV, this book lays a solid foundation in computer vision using Python. It addresses crucial topics such as image processing, feature extraction, and machine learning techniques. With practical examples and code snippets, it equips readers to implement a variety of computer vision algorithms effectively.
Key Features:
- Provides a broad introduction to computer vision, offering a foundation in image analysis and machine learning.
- Discusses modern approaches in feature extraction and image classification.
- Suitable for readers who wish to apply computer vision techniques beyond the scope of OpenCV.
Range: Priced around $44.99 to $60.42
Author: Jan Erik Solem
Conclusion
Each of these books serves as a valuable resource, ensuring that anyone looking to delve into OpenCV can choose one that fits their skill level and learning style. Whether you are starting your journey in computer vision or seeking to enhance your existing skills, these books will guide you through mastering the capabilities of OpenCV.