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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

Detectors and Descriptors

This chapter contains recipes for:

  • Finding corners in an image - Harris and FAST
  • Selecting good corners in an image for tracking
  • Drawing keypoints, descriptors, and matches
  • Detecting scale invariant keypoints
  • Computing descriptors for image keypoints - SURF, BRIEF, and ORB
  • Matching techniques for finding correspondences between descriptors
  • Finding reliable matches - cross-check and ratio test
  • Model-based filtering of matches - RANSAC
  • BoW model for constructing global image descriptors
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