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You're reading from OpenCV 3 Computer Vision with Python Cookbook Leverage the power of OpenCV 3 and Python to build computer vision applications

Product type Paperback

Published in Mar 2018

Publisher Packt

ISBN-13 9781788474443

Length 306 pages

Edition 1st Edition

Languages

Python

Tools

OpenCV

Concepts

Computer Vision

Authors (2):

Aleksandr Rybnikov

Aleksei Spizhevoi

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Table of Contents (11) Chapters

Preface

1. I/O and GUI FREE CHAPTER

2. Matrices, Colors, and Filters

3. Contours and Segmentation

4. Object Detection and Machine Learning

5. Deep Learning

6. Linear Algebra

7. Detectors and Descriptors

8. Image and Video Processing

9. Multiple View Geometry

10. Other Books You May Enjoy

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Who this book is for

This book is for developers who have basic knowledge of Python. If you are aware of the basics of OpenCV and are ready to build computer vision systems that are smarter, faster, more complex, and more practical than the competition, then this book is for you.

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Authors (2)

Aleksei Spizhevoi

Alexey Spizhevoy has over 7 years of experience in computer vision R&D. He has worked for 5 years at Itseez, the main OpenCV contributor, before it was acquired by Intel. He has contributed to video stabilization and photo stitching modules into OpenCV library. He has successfully participated in numerous Computer Vision projects in such areas as 3D reconstruction, video conferencing, object detection and tracking, semantic segmentation, driving assistance, and others. He holds a master's degree in computer science, and he is currently pursuing PhD.

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Rybnikov

Aleksandr Rybnikov has over 5 years of experience in C++ programming, including 3 years in the Computer Vision (CV) domain. He worked at Itseez, a company that supported and developed OpenCV, and then at Intel. He enriched OpenCV's dnn module by adding support of another two Deep Learning (DL) frameworks and many features, along with improving the existing functionality. As an engineer, he participated in CV and DL projects such as iris recognition, object detection, semantic segmentation, 6-DOF pose estimation, and digital hologram reconstruction. He has a master's degree in physics.

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