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Building Computer Vision Projects with OpenCV 4 and C++

You're reading from Building Computer Vision Projects with OpenCV 4 and C++ Implement complex computer vision algorithms and explore deep learning and face detection

Product type Course

Published in Mar 2019

Publisher

ISBN-13 9781838644673

Length 538 pages

Edition 1st Edition

Languages

C++

Tools

OpenCV

Concepts

Computer Vision

Authors (4):

Roy Shilkrot

David Millán Escrivá

Vinícius G. Mendonça

Prateek Joshi

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Table of Contents (28) Chapters

Title Page

Copyright and Credits

About Packt

Contributors

Preface

1. Getting Started with OpenCV FREE CHAPTER

2. An Introduction to the Basics of OpenCV

3. Learning Graphical User Interfaces

4. Delving into Histogram and Filters

5. Automated Optical Inspection, Object Segmentation, and Detection

6. Learning Object Classification

7. Detecting Face Parts and Overlaying Masks

8. Video Surveillance, Background Modeling, and Morphological Operations

9. Learning Object Tracking

10. Developing Segmentation Algorithms for Text Recognition

11. Text Recognition with Tesseract

12. Deep Learning with OpenCV

13. Cartoonifier and Skin Color Analysis on the RaspberryPi

14. Explore Structure from Motion with the SfM Module

15. Face Landmark and Pose with the Face Module

16. Number Plate Recognition with Deep Convolutional Networks

17. Face Detection and Recognition with the DNN Module

18. Android Camera Calibration and AR Using the ArUco Module

19. iOS Panoramas with the Stitching Module

20. Finding the Best OpenCV Algorithm for the Job

21. Avoiding Common Pitfalls in OpenCV

1. Other Books You May Enjoy

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Index

Technical requirements

The technologies and installations used in this chapter are the following:

OpenCV v3 or v4 with Python bindings
Jupyter Notebook server

Build instructions for the components listed above, as well as the code to implement the concepts presented in this chapter, will be provided in the accompanying code repository.

The code for this chapter can be accessed through GitHub: https://github.com/PacktPublishing/Building-Computer-Vision-Projects-with-OpenCV4-and-CPlusPlus/tree/master/Chapter20.

The rest of the chapter is locked

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Authors (4)

David Millán Escrivá

David Millán Escrivá

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.

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Roy Shilkrot

Roy Shilkrot

Roy Shilkrot is an assistant professor of computer science at Stony Brook University, where he leads the Human Interaction group. Dr. Shilkrot's research is in computer vision, human-computer interfaces, and the cross-over between these two domains, funded by US federal, New York State, and industry grants. Dr. Shilkrot graduated from the Massachusetts Institute of Technology (MIT) with a PhD, and has authored more than 25 peer-reviewed papers published at premier computer science conferences, such as CHI and SIGGRAPH, as well as in leading academic journals such as ACM Transaction on Graphics (TOG) and ACM Transactions on Computer-Human Interaction (ToCHI).

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Vinícius G. Mendonça

Vinícius G. Mendonça

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.

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Prateek Joshi

Prateek Joshi

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.

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