OpenCV By Example
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First published: January 2016
Production reference: 1150116
Published by Packt Publishing Ltd.
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ISBN 978-1-78528-094-8
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Credits
Authors
Prateek Joshi
David Millán Escrivá
Vinícius Godoy
Reviewers
Emmanuel d'Angelo
Dr. Bryan Wai-ching CHUNG
Nikolaus Gradwohl
Luis Díaz Más
Commissioning Editor
Ashwin Nair
Acquisition Editor
Tushar Gupta
Content Development Editor
Amey Varangaonkar
Technical Editor
Naveenkumar Jain
Copy Editor
Rashmi Sawant
Project Coordinator
Suzanne Coutinho
Proofreader
Sas Editing
Indexer
Hemangini Bari
Graphics
Kirk D'Penha
Production Coordinator
Shantanu N. Zagade
Cover Work
Shantanu N. Zagade
About the Authors
Prateek Joshi is a Computer Vision researcher and published author. He has over
eight years of experience in this eld with a primary focus on content-based analysis
and deep learning. His work in this eld has resulted in multiple patents, tech
demos, and research papers at major IEEE conferences. He is the author of OpenCV
with Python By Example, Packt Publishing.
He has won many hackathons using a wide variety of technologies related to image
recognition. His blog has been visited by users in more than 200 countries, and he
has been featured as a guest author in prominent tech magazines. He enjoys blogging
on topics, such as articial intelligence, abstract mathematics, and cryptography. You
can visit his blog at
www.prateekvjoshi.com
.
He is an avid coder who is passionate about building game-changing products. He
is particularly interested in intelligent algorithms that can automatically understand
the content to produce scene descriptions in terms of constituent objects. He
graduated from the University of Southern California and has worked for such
companies as Nvidia, Microsoft Research, Qualcomm, and a couple of early stage
start-ups in Silicon Valley. You can learn more about him on his personal website at
www.prateekj.com
.
I would like to thank the reviewers for helping me rene this book.
I would also like to thank Packt Publishing for publishing this book.
Finally, I would like to thank my family for supporting me through
everything.