Acknowledgment

I'd first like to thank God for all the opportunities He has given me as well as for giving me our happy family.

I'd certainly like to thank Professor Sergio Furuie for introducing me to this wonderful world of computer vision. I'd also like to thank Professor Carlos Henrique Forster for his courses on the subject.

A big thanks goes to all the reviewers of this book, who took their time to put constructive and interesting corrections to its contents.

I would also like to thank the people from Packt Publishing—especially Parag Topre, Nikhil Potdukhe, Sriram Neelakantan, Harsha Bharwani, Sageer Parkar, and Nadeem Bagban—without whom, this book would never have been finished. I would also like to thank them for their patience.

I would like to thank my parents, who brought me into this world and educated me. I also thank my brother for always being there for me.

I dedicate this book to my children, who will always be part of my heart.

I'd also like to thank my wife for supporting me day and night in our life's journey.

About the Reviewers

Ngoc Dao studied computer vision at the Computer Vision and Image Media Lab of the University of Tsukuba, Japan. He has created several high-speed and scalable image matching server systems using Scala, Akka, and MongoDB with OpenCV's Java binding. These systems can scale multiple machines and have successfully been used with many iOS and Android apps.

Other than computer vision, Ngoc is also interested in real-time distributed systems and web frameworks. He is the main author of Xitrum, which is an open source async and clustered web framework for Scala (http://xitrum-framework.github.io). He presented this framework at the Scala Matsuri 2014 conference in Tokyo (http://scalamatsuri.org/en/program/index.html).

I would like to thank Professor Yuichi Ohta, Professor Yoshinari Kameda, and Professor Kitahara Itaru at the University of Tsukuba. They taught me a lot about computer vision.

Dileep Kumar Kotha currently works as a senior software engineer at a telecom firm in Bangalore, India. He is an undergraduate in computer science from the National Institute of Technology, Rourkela, 2012 batch. He started working on image processing during his summer internship at the prestigious IIT Kharagpur and has continued working with OpenCV on Linux machines ever since. Currently, he successfully manages a blog on OpenCV for beginners, which you can find at http://opencvuser.blogspot.in/.

I would like to thank Packt Publishing for giving me the opportunity to review this book and Judie for bearing the delays in the completion of my reviews.

Domenico Luciani is a passionate 22-year-old programmer. He currently works as a software engineer for some companies and is studying computer science at the University of Palermo, Italy.

He is a computer vision enthusiast and loves security and often pentests too; he also takes part in bounty programs for many companies. He has worked with many technologies in the past, such as MongoDB, Node.js, PHP, PostgreSQL, and C. He makes many Node.js modules that he successfully publishes on the NPM website. He collaborated as a reviewer on a published BDD test using a JavaScript book. He studies the Go language (golang) just for fun.

He owns a Raspberry Pi. He loves writing code using vim and manages it with Git. He also writes tests and collaborates with various open source projects on the Web.

In his free time, he likes running and playing Parkour. You can find out more about him at http://dlion.it.

Sebastian Montabone is a computer engineer with a master's of science degree in computer vision. He has worked in areas, such as intelligent IP cameras for automated surveillance, data mining, 3D sensors, game development, and embedded devices.

He is the author of Beginning Digital Image Processing: Using Free Tools for Photographers, Apress. He has also written scientific articles and a computer vision video course OpenCV Computer Vision Application Programming, Packt Publishing.

You can visit his blog at www.samontab.com, where he shares his current projects with the world.