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Python Image Processing Cookbook

You're reading from   Python Image Processing Cookbook Over 60 recipes to help you perform complex image processing and computer vision tasks with ease

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Product type Paperback
Published in Apr 2020
Publisher Packt
ISBN-13 9781789537147
Length 438 pages
Edition 1st Edition
Languages
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Author (1):
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Sandipan Dey Sandipan Dey
Author Profile Icon Sandipan Dey
Sandipan Dey
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Toc

Table of Contents (11) Chapters Close

Preface 1. Image Manipulation and Transformation 2. Image Enhancement FREE CHAPTER 3. Image Restoration 4. Binary Image Processing 5. Image Registration 6. Image Segmentation 7. Image Classification 8. Object Detection in Images 9. Face Recognition, Image Captioning, and More 10. Other Books You May Enjoy

Face recognition using FaceNet

Face recognition is an image processing/computer vision task that tries to identify and verify a person based on an image of their face. Face recognition problems can be categorized into two different types:

  • Face verification (is this the claimed person?): This is a 1:1 matching problem (for example, a mobile phone that unlocks using a specific face uses face verification).
  • Face identification (who is this person?): This is a 1:K matching problem (for example, an employee entering an office can be identified by face identification).

FaceNet is a unified system for face recognition (for both verification and identification). It is sometimes called a Siamese network. It is based on learning a Euclidean embedding per image using a deep convolutional network that encodes an image of a face into a vector of 128 numbers. The network is trained (via a...

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