Mastering OpenCV 4 - Third Edition - Softcover

Shilkrot, Roy; Millán Escrivá, David

Softcover

ISBN 10: 1789533570 ISBN 13: 9781789533576

Publisher: Packt Publishing, 2018

Synopsis

Work on practical computer vision projects covering advanced object detector techniques and modern deep learning and machine learning algorithms

Key Features

• Learn about the new features that help unlock the full potential of OpenCV 4
• Build face detection applications with a cascade classifier using face landmarks
• Create an optical character recognition (OCR) model using deep learning and convolutional neural networks

Book Description

Mastering OpenCV, now in its third edition, targets computer vision engineers taking their first steps toward mastering OpenCV. Keeping the mathematical formulations to a solid but bare minimum, the book delivers complete projects from ideation to running code, targeting current hot topics in computer vision such as face recognition, landmark detection and pose estimation, and number recognition with deep convolutional networks.

You'll learn from experienced OpenCV experts how to implement computer vision products and projects both in academia and industry in a comfortable package. You'll get acquainted with API functionality and gain insights into design choices in a complete computer vision project. You'll also go beyond the basics of computer vision to implement solutions for complex image processing projects.

By the end of the book, you will have created various working prototypes with the help of projects in the book and be well versed with the new features of OpenCV4

What you will learn

• Build real-world computer vision problems with working OpenCV code samples
• Uncover best practices in engineering and maintaining OpenCV projects
• Explore algorithmic design approaches for complex computer vision tasks
• Work with OpenCV's most updated API (v4.0.0)through projects
• Understand 3D scene reconstruction and Structure from Motion (SfM)
• Study camera calibration and overlay AR using the ArUco Module

Who This Book Is For

This book is for computer vision engineers looking to get grips with OpenCV, mostly in a C++ environment, with a hands-on approach rather than the traditional ground-up knowledge construction. The book provides concrete example usage of the OpenCV API toward common computer vision tasks. You are expected to have a firm grasp of programming concepts and software engineering skills, and be able to build and run software in C++ from scratch.

About this title

About the Author

Dr. Roy Shilkrot is a Researcher, computer scientist specializing in human-computer interaction, computer graphics, computer vision and UI. Skilled full-stack programmer of end-user and enterprise applications, from architecture design to implementation. Published numerous peer-reviewed academic journal and conference articles, patents, and a co-authored book.

He has more than 10 years of experience in C/C++/ObjC/C#, Java, Python, Perl, PHP, VB, .NET, OpenCV, OpenGL, GLSL, OpenCL, CUDA, Android, iOS, CMake, Git/SVN/CVS, browser plugins/extensions, boost, Qt, WxWidgets, [MS/My/Postgre]SQL, J2SE, J2EE, SOAP, JDBC, JDO/Hibernate/JPA, JSF, EJB2/3, RMI, JUnit, SIP, MatLab, Eigen3, XML/XSL/XSLT/XSD/DTD, JQuery, Doxygen, Javadoc, CAD, Eagle, digital fabrication techniques.

David Millán Escrivá was eight years old when he wrote his first program on an 8086 PC using the BASIC language. He completed his studies in IT from the Universitat Politécnica de Valencia with honors in human-computer interaction supported by computer vision with OpenCV (v0.96). He has a master's degree in artificial intelligence, computer graphics, and pattern recognition, focusing on pattern recognition and computer vision. He also has more than nine years' experience in computer vision, computer graphics, and pattern recognition. He is the author of the Damiles Blog, where he publishes articles and tutorials on OpenCV, computer vision in general, and optical character recognition algorithms.

Edition details

• Publisher: Packt Publishing
• Publication date: 2018
• ISBN 10: 1789533570
• ISBN 13: 9781789533576
• Binding: Paperback
• Language: English
• Edition number: 3
• Number of pages: 280