April 2017
Beginner to intermediate
250 pages
6h 28m
English
Overview
Master OpenCV 3 and develop practical skills in computer vision by engaging in a hands-on, project-based learning experience. This book covers everything from facial recognition and augmented reality applications to creating AI-driven prototypes using OpenCV 3. It's perfect for quickly gaining expertise and crafting innovative computer vision applications.
What this Book will help me do
- Gain proficiency in image processing and computer vision techniques using OpenCV 3.
- Develop practical applications, such as number plate recognition and object tracking.
- Leverage OpenCV 3's advanced 3D visualization framework in your projects.
- Train custom face recognition systems using deep learning methodologies.
- Create augmented reality applications through natural feature tracking and POSIT techniques.
Author(s)
None Saragih, an expert in computer vision and a contributor to OpenCV, shares their extensive knowledge in this field. With a practical, project-driven approach, None aims to empower developers to create innovative computer vision applications that solve real-world problems. Their work emphasizes hands-on experiences to make learning practical and impactful.
Who is it for?
This book is aimed at computer vision enthusiasts, software developers, and engineers who want to utilize OpenCV 3 effectively. It's ideal for readers who have basic experience with OpenCV and a firm grasp of C programming. Whether you're looking to advance your technical skills, improve your understanding of computer vision, or create sophisticated AI-based applications, this book will guide you thoroughly through the process.
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