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  • Learn OpenCV 4 by Building Projects: Build real-world computer vision and image processing applications with OpenCV and C++, 2nd Edition

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Learn OpenCV 4 by Building Projects: Build real-world computer vision and image processing applications with OpenCV and C++, 2nd Edition Kindle Edition

by David Millán Escrivá (Author), Vinícius G. Mendonça (Author), Prateek Joshi (Author) Format: Kindle Edition
3.8 out of 5 stars (8)

Explore OpenCV 4 to create visually appealing cross-platform computer vision applications

Key Features

  • Understand basic OpenCV 4 concepts and algorithms
  • Grasp advanced OpenCV techniques such as 3D reconstruction, machine learning, and artificial neural networks
  • Work with Tesseract OCR, an open-source library to recognize text in images

Book Description

OpenCV is one of the best open source libraries available, and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you’re completely new to computer vision, or have a basic understanding of its concepts, Learn OpenCV 4 by Building Projects – Second edition will be your guide to understanding OpenCV concepts and algorithms through real-world examples and projects.

You’ll begin with the installation of OpenCV and the basics of image processing. Then, you’ll cover user interfaces and get deeper into image processing. As you progress through the book, you'll learn complex computer vision algorithms and explore machine learning and face detection. The book then guides you in creating optical flow video analysis and background subtraction in complex scenes. In the concluding chapters, you'll also learn about text segmentation and recognition and understand the basics of the new and improved deep learning module.

By the end of this book, you'll be familiar with the basics of Open CV, such as matrix operations, filters, and histograms, and you'll have mastered commonly used computer vision techniques to build OpenCV projects from scratch.

What you will learn

  • Install OpenCV 4 on your operating system
  • Create CMake scripts to compile your C++ application
  • Understand basic image matrix formats and filters
  • Explore segmentation and feature extraction techniques
  • Remove backgrounds from static scenes to identify moving objects for surveillance
  • Employ various techniques to track objects in a live video
  • Work with new OpenCV functions for text detection and recognition with Tesseract
  • Get acquainted with important deep learning tools for image classification

Who this book is for

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 OpenCV, Learn OpenCV 4 by Building Projects for you. Prior knowledge of C++ will help you understand the concepts covered in this book.

Table of Contents

  1. Getting started with OpenCV
  2. An introduction to the basics of OpenCV
  3. Learning graphical user interfaces
  4. Delving into histrograms 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
Read more
Previous slide of product details
  1. Print length
    312 pages
  2. Language
    English
  3. Publisher
    Packt Publishing
  4. Accessibility
    Learn more
  5. Publication date
    November 30, 2018
  6. File size
    38.1 MB
  7. Page Flip
    Enabled
  8. Word Wise
    Not Enabled
  9. Enhanced typesetting
    Enabled
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Due to its large file size, this book may take longer to download

From the brand

Editorial Reviews

About the Author

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.

Vinícius G. Mendonça is a computer graphics university professor at Pontifical Catholic University of Paraná (PUCPR). He started programming with C++ back in 1998, and ventured into the field of computer gaming and computer graphics back in 2006. He is currently a mentor at the Apple Developer Academy in Brazil, working with, and teaching, metal, machine learning and computer vision for mobile devices. He has served as a reviewer on other Pack books, including OpenNI Cookbook, and Mastering OpenCV and Computer Vision with OpenCV 3 and Qt5. In his research, he has used Kinect, OpenNI, and OpenCV to recognize Brazilian sign language gestures. His areas of interest include mobile, OpenGL, image processing, computer vision, and project management.

Prateek Joshi is an artificial intelligence researcher, an author of eight published books, and a TEDx speaker. He has been featured in Forbes 30 Under 30, CNBC, TechCrunch, Silicon Valley Business Journal, and many more publications. He is the founder of Pluto AI, a venture-funded Silicon Valley start-up building an intelligence platform for water facilities. He graduated from the University of Southern California with a Master's degree specializing in Artificial Intelligence. He has previously worked at NVIDIA and Microsoft Research.

Product details

  • ASIN ‏ : ‎ B07J9LYR9S
  • Publisher ‏ : ‎ Packt Publishing
  • Accessibility ‏ : ‎ Learn more
  • Publication date ‏ : ‎ November 30, 2018
  • Edition ‏ : ‎ 2nd
  • Language ‏ : ‎ English
  • File size ‏ : ‎ 38.1 MB
  • Enhanced typesetting ‏ : ‎ Enabled
  • X-Ray ‏ : ‎ Not Enabled
  • Word Wise ‏ : ‎ Not Enabled
  • Print length ‏ : ‎ 312 pages
  • ISBN-13 ‏ : ‎ 978-1789347623
  • Page Flip ‏ : ‎ Enabled
  • Best Sellers Rank: #4,126,446 in Kindle Store (See Top 100 in Kindle Store)
  • Customer Reviews:
    3.8 out of 5 stars (8)

About the authors

Follow authors to get new release updates, plus improved recommendations.
Previous page
  1. Prateek Joshi

    Prateek Joshi

    Brief content visible, double tap to read full content.
    Full content visible, double tap to read brief content.

    Prateek Joshi is the CEO of Plutoshift and a published author of 13 books on Machine Learning. He has been featured on Forbes, NBC, Bloomberg, CNBC, TechCrunch, Silicon Valley Business Journal, and more. He has been an invited speaker at conferences such as TEDx, Global Big Data Conference, Machine Learning Developers Conference, and Sensors Expo. His tech blog (www.prateekjoshi.com) has received 2.4M+ page views from 200+ countries and has 7,500+ followers. You can learn more about him on his personal website at www.prateekj.com.

    See more on the author's page
  2. Vinícius G. Mendonca

    Vinícius G. Mendonca

    Brief content visible, double tap to read full content.
    Full content visible, double tap to read brief content.

    Vinícius Godoy de Mendonça is a computer graphics university professor at PUCPR, in Brazil. He started programming with C++ back in 1998 and ventured into the field of computer gaming and computer graphics since 2006. He is currently a mentor at Apple Developer Academy | PUCPR, working and teaching Metal, Machine Learning and Computer Vision for mobile devices.

    In his research, he used Kinect, OpenNI and OpenCV to recognize Brazilian sign language gestures. His field of interest includes mobile devices, image processing, computer vision, design patterns, project management and parallel applications.

    He is happily married and father of 4 beautiful girls, who drive him crazy from time to time. He also is a dog fan, having one cute female dog per kid (just like in GoT, coincidence?).

    See more on the author's page
  3. David Millán Escrivá

    David Millán Escrivá

    Brief content visible, double tap to read full content.
    Full content visible, double tap to read brief content.

    David Millán Escrivá was eight years old when he wrote his first program on an 8086 PC with BASIC language, which enabled the 2D plotting of BASIC equations. He started with his computer development relationship and created many applications and games. In 2005, 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 had a final project based on this subject and published it on HCI Spanish Congress. In 2014, he completed his Master's degree in artificial intelligence, computer graphics, and pattern recognition, focusing on pattern recognition and computer vision. He participated in Blender source code, an open source and 3D-software project, and worked in his first commercial movie, Plumiferos—Aventuras voladoras, as a computer graphics software developer.

    David now has more than 13 years of experience in IT, with more than nine years of experience in computer vision, computer graphics, and pattern recognition, working on different projects and start-ups, applying his knowledge of computer vision, optical character recognition, and augmented reality.

    He is the author of the DamilesBlog ( http://blog.damiles.com ), where he publishes research articles and tutorials on OpenCV, computer vision in general, and optical character recognition algorithms. He is the co-author of Mastering OpenCV with Practical Computer Vision Projects Book and also the reviewer of GnuPlot Cookbook by Lee Phillips, OpenCV Computer Vision with Python by Joseph Howse, Instant Opencv Starter by Jayneil Dalal and Sohil Patel, all published by Packt Publishing.

    See more on the author's page
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Next page

Customer reviews

3.8 out of 5 stars
8 global ratings

Top reviews from the United States

  • Kohei Yoshida
    4.0 out of 5 stars Helpful for C++ developer new to OpenCV
    Reviewed in the United States on April 24, 2019
    Format: PaperbackVerified Purchase
    I'm almost finishing up this book, and I think I have seen enough to give it a review. I'm new to OpenCV but I'm pretty experienced with CMake, and I built OpenCV directly from its source from its github repo in order to follow this book. So, I can't comment on the quality and accuracy of the installation guide in this book since I skipped that part.

    The rest of the book's content is quite decent, and gave me a very good overview of what sort of functionality is provided by OpenCV. I've noticed some minor errors in the example codes, but nothing that some debugging can't resolve.

    I also recommend you follow this book on Linux if you have that option. You need access to a webcam since many of the examples do make use of video feeds from camera.

    I'm also planning on buying a copy of Mastering OpenCV 4 after I finish this book, to further deepen my knowledge of OpenCV.
    3 people found this helpful
    Helpful
     Report
  • Bad Review
    1.0 out of 5 stars Installation Guide
    Reviewed in the United States on April 1, 2019
    Format: PaperbackVerified Purchase
    Installation guide is not useful. Either it is not updated or incomplete. Some libraries on the dependencies are no longer there.
    One person found this helpful
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