OpenCV By Example: Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3
About this ebook
- [*]Get to grips with the basics of Computer Vision and image processing
- [*]This is a step-by-step guide to developing several real-world Computer Vision projects using OpenCV 3
- [*]This book takes a special focus on working with Tesseract OCR, a free, open-source library to recognize text in images
- [*] Install OpenCV 3 on your operating system
- [*] Create the required CMake scripts to compile the C++ application and manage its dependencies
- [*] Get to grips with the Computer Vision workflows and understand the basic image matrix format and filters
- [*] Understand the segmentation and feature extraction techniques
- [*] Remove backgrounds from a static scene to identify moving objects for video surveillance
- [*] Track different objects in a live video using various techniques
- [*] Use the new OpenCV functions for text detection and recognition with Tesseract
If you are a software developer with a basic understanding of Computer Vision and image processing and want to develop interesting Computer Vision applications with Open CV, this is the book for you. Knowledge of C++ is required.
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About the author
Prateek Joshi is the founder of Plutoshift and a published author of 9 books on Artificial Intelligence. He has been featured on Forbes 30 Under 30, NBC, Bloomberg, CNBC, TechCrunch, and The Business Journals. He has been an invited speaker at conferences such as TEDx, Global Big Data Conference, Machine Learning Developers Conference, and Silicon Valley Deep Learning. Apart from Artificial Intelligence, some of the topics that excite him are number theory, cryptography, and quantum computing. His greater goal is to make Artificial Intelligence accessible to everyone so that it can impact billions of people around the world.
David Millán Escrivá was 8 years old when he wrote his first program on an 8086 PC in Basic, which enabled the 2D plotting of basic equations. In 2005, he finished his studies in IT with honors, through the Universitat Politécnica de Valencia, in human-computer interaction supported by computer vision with OpenCV (v0.96). He has worked with Blender, an open source, 3D software project, and on its first commercial movie, Plumiferos, as a computer graphics software developer. David has more than 10 years' experience in IT, with experience in computer vision, computer graphics, pattern recognition, and machine learning, working on different projects, and at different start-ups, and companies. He currently works as a researcher in computer vision.
Vinícius G. Mendonça is a professor at PUCPR and a mentor at Apple Developer Academy. He has a master's degree in Computer Vision and Image Processing (PUCPR) and a specialization degree in Game Development (Universidade Positivo). He is also one of the authors of the book Learn OpenCV 4 by Building Projects, also by Packt Publishing. He has been in this field since 1996. His former experience includes designing and programming a multithreaded framework for PBX tests at Siemens, coordination of Aurélio Dictionary software (including its apps for Android, IOS, and Windows phones), and coordination of an augmented reality educational activity for Positivo's Mesa Alfabeto, presented at CEBIT. Currently, he works with server-side Node.js at a company called Tenet Tech.
