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Michael Beyeler - OpenCV with Python Blueprints

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Michael Beyeler OpenCV with Python Blueprints
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Design and develop advanced computer vision projects using OpenCV with Python

About This Book
  • Program advanced computer vision applications in Python using different features of the OpenCV library
  • Practical end-to-end project covering an important computer vision problem
  • All projects in the book include a step-by-step guide to create computer vision applications
Who This Book Is For

This book is for intermediate users of OpenCV who aim to master their skills by developing advanced practical applications. Readers are expected to be familiar with OpenCVs concepts and Python libraries. Basic knowledge of Python programming is expected and assumed.

What You Will Learn
  • Generate real-time visual effects using different filters and image manipulation techniques such as dodging and burning
  • Recognize hand gestures in real time and perform hand-shape analysis based on the output of a Microsoft Kinect sensor
  • Learn feature extraction and feature matching for tracking arbitrary objects of interest
  • Reconstruct a 3D real-world scene from 2D camera motion and common camera reprojection techniques
  • Track visually salient objects by searching for and focusing on important regions of an image
  • Detect faces using a cascade classifier and recognize emotional expressions in human faces using multi-layer peceptrons (MLPs)
  • Recognize street signs using a multi-class adaptation of support vector machines (SVMs)
  • Strengthen your OpenCV2 skills and learn how to use new OpenCV3 features
In Detail

OpenCV is a native cross platform C++ Library for computer vision, machine learning, and image processing. It is increasingly being adopted in Python for development. OpenCV has C++/C, Python, and Java interfaces with support for Windows, Linux, Mac, iOS, and Android. Developers using OpenCV build applications to process visual data; this can include live streaming data from a device like a camera, such as photographs or videos. OpenCV offers extensive libraries with over 500 functions

This book demonstrates how to develop a series of intermediate to advanced projects using OpenCV and Python, rather than teaching the core concepts of OpenCV in theoretical lessons. Instead, the working projects developed in this book teach the reader how to apply their theoretical knowledge to topics such as image manipulation, augmented reality, object tracking, 3D scene reconstruction, statistical learning, and object categorization.

By the end of this book, readers will be OpenCV experts whose newly gained experience allows them to develop their own advanced computer vision applications.

Style and approach

This book covers independent hands-on projects that teach important computer vision concepts like image processing and machine learning for OpenCV with multiple examples.

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OpenCV with Python Blueprints

OpenCV with Python Blueprints

Copyright 2015 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 publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

First published: October 2015

Production reference: 1141015

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham B3 2PB, UK.

ISBN 978-1-78528-269-0

www.packtpub.com

Credits

Author

Michael Beyeler

Reviewers

Jia-Shen Boon

Florian LE BOURDAIS

Steve Goldsmith

Rahul Kavi

Scott Lobdell

Vipul Sharma

Commissioning Editor

Akram Hussain

Acquisition Editor

Divya Poojari

Content Development Editor

Zeeyan Pinheiro

Technical Editor

Namrata Patil

Copy Editor

Vikrant Phadke

Project Coordinator

Suzanne Coutinho

Proofreader

Safis Editing

Indexer

Rekha Nair

Production Coordinator

Melwyn D'sa

Cover Work

Melwyn D'sa

About the Author

Michael Beyeler is a PhD candidate in the department of computer science at the University of California, Irvine, where he is working on computational models of the brain as well as their integration into autonomous brain-inspired robots. His work on vision-based navigation, learning, and cognition has been presented at IEEE conferences and published in international journals. Currently, he is one of the main developers of CARLsim, an open source GPGPU spiking neural network simulator.

This is his first technical book that, in contrast to his (or any) dissertation, might actually be read.

Michael has professional programming experience in Python, C/C++, CUDA, MATLAB, and Android. Born and raised in Switzerland, he received a BSc degree in electrical engineering and information technology, as well as a MSc degree in biomedical engineering from ETH Zurich. When he is not "nerding out" on robots, he can be found on top of a snowy mountain, in front of a live band, or behind the piano.

I would like to thank Packt Publishing for this great opportunity and their support, my girlfriend for putting up with my late-night writing sessions, as well as the technical reviewers, who have spotted (hopefully) all my glaring errors and helped make this book a success.

About the Reviewers

Jia-Shen Boon is a researcher in robotics at the University of Wisconsin-Madison, supervised by Professor Michael Coen. He is a proud son of the sunny city-state of Singapore. Before coming to Wisconsin, he was a research engineer at DSO National Labs, where he worked on autonomous underwater vehicles and other unspeakable things. During his free time, Jia-Shen likes to study the Japanese language and write about himself in the third person.

Florian LE BOURDAIS hails from France and Germany. While he was growing up in the lazy south of France, an encounter with music from The Beatles gave him an early grasp of the English language. One of his earliest childhood memories has him watching his older German cousin, Dominik, coding a Tetris clone in the family basement using QBasic. High school and the advent of hand-held calculators led him to write his first Snake program using the TI-Basic language. After having acquired a solid background in mathematics and physics, Florian was admitted to one of the top French engineering schools. He studied mechanical engineering, but interned as an index-arbitrage trader in Japan during the financial crisis. Keen to come back to a country he much liked, he specialized in nuclear engineering and was doing an internship in a Japanese fast-breeder reactor during the Fukushima nuclear crisis.

Coming back to France, Florian was happy to start an engineering job in non-destructive testing. He specializes in ultrasound inspection methods, with a focus on phased array transducers, guided waves, and EMATs. He has published more than 10 international conference proceedings. At night, he's a hacker who likes to play with 3D printers, fermented Korean cabbage, the Raspberry Pi, Japanese characters, and guitars. He regularly writes a blog about his side projects at http://flothesof.github.io.

I would like to thank my friends and family for supporting me throughout this project. Special thanks goes to my favorite machine learning specialists at the Geeks d'Orlans, as well as Coloc du 1000.

Rahul Kavi is a PhD student at West Virginia University. He holds a master's degree in computer science. He is pursuing a PhD in the area of distributed machine learning and computer vision. He is a computer vision and robotics enthusiast. Rahul has worked on developing prototypes, optimizing computer vision, and machine learning applications for desktops, mobile devices, and autonomous robots. He writes blogs on his research interests and part-time projects at www.developerstation.org. He is a source code contributor to OpenCV.

Vipul Sharma is an engineering undergraduate from Jabalpur Engineering College. He is an ardent Python enthusiast and was one of the students selected for Google Summer of Code 2015 under the Python Software Foundation. He has been actively involved in Python and OpenCV since 2012. A few of his projects on OpenCV include a motion sensing surveillance camera, hand-gesture recognition, and solving a Rubik's cube by reading images of its faces in real time. Vipul loves contributing to open source software and is currently working on Optical Character Recognition (OCR) using OpenCV. You can check out his projects at https://github.com/vipul-sharma20.

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