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Learning OpenCV 4 Computer Vision with Python 3

You're reading from   Learning OpenCV 4 Computer Vision with Python 3 Get to grips with tools, techniques, and algorithms for computer vision and machine learning

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Product type Paperback
Published in Feb 2020
Publisher Packt
ISBN-13 9781789531619
Length 372 pages
Edition 3rd Edition
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Authors (2):
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Joe Minichino Joe Minichino
Author Profile Icon Joe Minichino
Joe Minichino
Joseph Howse Joseph Howse
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Joseph Howse
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Table of Contents (13) Chapters Close

Preface 1. Setting Up OpenCV 2. Handling Files, Cameras, and GUIs FREE CHAPTER 3. Processing Images with OpenCV 4. Depth Estimation and Segmentation 5. Detecting and Recognizing Faces 6. Retrieving Images and Searching Using Image Descriptors 7. Building Custom Object Detectors 8. Tracking Objects 9. Camera Models and Augmented Reality 10. Introduction to Neural Networks with OpenCV 11. Other Book You May Enjoy Appendix A: Bending Color Space with the Curves Filter

A sample application – tattoo forensics

Let's conclude this chapter with a real-life (or perhaps fantasy-life) example. Imagine you are working for the Gotham forensics department and you need to identify a tattoo. You have the original picture of a criminal's tattoo (perhaps captured in CCTV footage), but you don't know the identity of the person. However, you possess a database of tattoos, indexed with the name of the person that the tattoo belongs to.

Let's divide this task into two parts:

  • Build a database by saving image descriptors to files
  • Load the database and scan for matches between a query image's descriptors and the descriptors in the database

We will cover these tasks in the next two subsections.

Saving image descriptors to file

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