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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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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

Detection and tracking tasks can be formulated in terms of comparing areas in images. If we're able to find special points in the images and build up descriptors for these points, we can just compare the descriptors and arrive at a conclusion about the similarity of the objects in the images. In Computer Vision, these special points are called keypoints, but several questions arise around this concept: how do you find truly special locations in the images? How do you compute the robust and unique descriptors? And how do you compare these descriptors rapidly and accurately? This chapter addresses all these queries and leads you through all the steps from finding the keypoints to comparing them using OpenCV.

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