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OpenCV 3 Computer Vision with Python Cookbook

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

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788474443
Length 306 pages
Edition 1st Edition
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Authors (2):
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Aleksandr Rybnikov Aleksandr Rybnikov
Author Profile Icon Aleksandr Rybnikov
Aleksandr Rybnikov
Aleksei Spizhevoi Aleksei Spizhevoi
Author Profile Icon Aleksei Spizhevoi
Aleksei Spizhevoi
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Toc

Table of Contents (11) Chapters Close

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

Introduction

Our world contains a lot of objects. Each type of object has its own features that distinguish it from some types and, at the same time, make it similar to others. Understanding the scene through the objects in it is a key task in computer vision. Being able to find and track various objects, detect basic patterns and complex structures, and recognize text are challenging and useful skills, and this chapter addresses questions on how to implement and use them with OpenCV functionality.

We will review the detection of geometric primitives, such as lines, circles, and chessboards, and more complex objects, such as pedestrians, faces, AruCo, and QR code patterns. We will also perform object tracking tasks.

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