December 2018
Intermediate to advanced
280 pages
7h 23m
English
Overview
Mastering OpenCV 4 is a comprehensive guide created to help you gain a solid grasp of OpenCV 4 and its cutting-edge features. This book enables you to build practical computer vision and image processing applications, working on exciting projects like facial recognition, landmark detection, and deep learning-based number recognition.
What this Book will help me do
- Implement computer vision solutions like landmark detection, OCR, and AR overlay.
- Gain hands-on experience with OpenCV 4 API and understand its new capabilities.
- Understand and apply camera calibration and 3D reconstruction techniques in real projects.
- Develop practical skills for computer vision innovation using C++ programming.
- Master deep learning applications within OpenCV, such as face and number recognition.
Author(s)
Roy Shilkrot and None Millán Escrivá, seasoned experts in computer vision and OpenCV, bring you this practical and approachable guide. They have extensive professional experience and have crafted this book based on great clarity and depth. Roy and None are passionate about enabling developers to create impactful vision projects with ease.
Who is it for?
This book is ideal for engineers and developers who want to build real-world computer vision projects with OpenCV 4. Primarily suited for those with initial experience in OpenCV and C++ programming, it offers deep technical insights and practical expertise. If you're aspiring to design robust vision applications, this book is for you.
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