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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 alignment with dlib

Face alignment can be thought of as an image processing task consisting of the following steps:

  1. Identify the facial landmarks (or the facial geometric structure).
  2. Compute a canonical alignment by estimating a geometric transformation (for example, an affine transform) of the face to be aligned using the landmarks.

Face alignment is a data normalization process—an essential pre-processing step for many facial recognition algorithms. In this recipe, you will first learn how to use the dlib library's face detector to detect the faces from an image containing face(s) and then use the shape predictor to extract the facial landmarks from the detected faces. After that, we will warp the input face (using the estimated transformation) to the output face using the facial landmarks extracted.

The key facial attributes of a face (for example, the corners...

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