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Mastering OpenCV 3
Second Edition
Get hands-on with practical Computer Vision using OpenCV 3
Daniel Lélis Baggio
Shervin Emami
David Millán Escrivá
Khvedchenia Ievgen
Jason Saragih
Roy Shilkrot
BIRMINGHAM - MUMBAI
Mastering OpenCV 3
Second Edition
Copyright © 2017 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or
transmitted in any form or by any means, without the prior written permission of the
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However, Packt Publishing cannot guarantee the accuracy of this information.
First published: December 2012
Second edition: April 2017
Production reference: 1260417
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.
ISBN 978-1-78646-717-1
www.packtpub.com
Credits
Authors
Daniel Lélis Baggio
Shervin Emami
David Millán Escrivá
Khvedchenia Ievgen
Jason Saragih
Roy Shilkrot
Reviewer
Vinícius Godoy
Commissioning Editor
Edward Gordon
Acquisition Editor
Nitin Dasan
Content Development Editor
Rohit Kumar Singh
Technical Editor
Pavan Ramchandani
Copy Editor
Safis Editing
Project Coordinator
Vaidehi Sawant
Proofreader
Safis Editing
Indexer
Tejal Daruwale Soni
Graphics
Jason Monteiro
Production Coordinator
Shantanu N. Zagade
About the Authors
Daniel Lélis Baggio
started his work in computer vision through medical image processing
at InCor (Instituto do Coração – Heart Institute) in São Paulo, where he worked with
intravascular ultrasound image segmentation. Since then, he has focused on GPGPU and
ported the segmentation algorithm to work with NVIDIA's CUDA. He has also dived into
6degrees of freedom head tracking with a natural user interface group through a project
called ehci (
http://code.google.com/p/ehci/).
He now works for the Brazilian Air Force.
Shervin Emami,
born in Iran, taught himself electronics and hobby robotics during his
early teens in Australia. While building his first robot at the age of 15, he learned how RAM
and CPUs work. He was so amazed by the concept that he soon designed and built a whole
Z80 motherboard to control his robot, and wrote all the software purely in binary machine
code using two push buttons for 0s and 1s.
After learning that computers can be programmed in much easier ways such as assembly
language and even high-level compilers, Shervin became hooked on computer
programming and has been programming desktops, robots, and smartphones nearly every
day since then. During his late teens, he created Draw3D (
http://draw3d.shervinemami.i
nfo/
), a 3D modeler with 30,000 lines of optimized C and assembly code that rendered 3D
graphics faster than all the commercial alternatives of the time, but he lost interest in
graphics programming when 3D hardware acceleration became available.
In University, Shervin took a class on Computer Vision and became greatly interested in it.
So, for his first thesis in 2003, he created a real-time face detection program based on
Eigenfaces, using OpenCV (beta 3) for the camera input. For his master's thesis in 2005, he
created a visual navigation system for several mobile robots using OpenCV (v0.96).
From 2008, he worked as a freelance Computer Vision Developer in Abu Dhabi and
Philippines, using OpenCV for a large number of short-term commercial projects that
included:
Detecting faces using Haar or Eigenfaces
Recognizing faces using Neural Networks, EHMM, or Eigenfaces
Detecting the 3D position and orientation of a face from a single photo using
AAM and POSIT
Rotating a face in 3D using only a single photo

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