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Learning OpenCV 3 Computer Vision with Python (Update)

You're reading from   Learning OpenCV 3 Computer Vision with Python (Update) Unleash the power of computer vision with Python using OpenCV

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Product type Paperback
Published in Sep 2015
Publisher
ISBN-13 9781785283840
Length 266 pages
Edition 1st Edition
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Authors (2):
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Joe Minichino Joe Minichino
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Joe Minichino
Joseph Howse Joseph Howse
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Joseph Howse
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Table of Contents (16) Chapters Close

Learning OpenCV 3 Computer Vision with Python Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Setting Up OpenCV FREE CHAPTER 2. Handling Files, Cameras, and GUIs 3. Processing Images with OpenCV 3 4. Depth Estimation and Segmentation 5. Detecting and Recognizing Faces 6. Retrieving Images and Searching Using Image Descriptors 7. Detecting and Recognizing Objects 8. Tracking Objects 9. Neural Networks with OpenCV – an Introduction Index

Summary


By now, you should have a good understanding of how face detection and face recognition work, and how to implement them in Python and OpenCV 3.

Face detection and face recognition are constantly evolving branches of computer vision, with algorithms being developed continuously, and they will evolve even faster in the near future with the emphasis posed on robotics and the Internet of things.

For now, the accuracy of detection and recognition heavily depends on the quality of the training data, so make sure you provide your applications with high-quality face databases and you will be satisfied with the results.

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