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Hands-On Image Processing with Python

You're reading from   Hands-On Image Processing with Python Expert techniques for advanced image analysis and effective interpretation of image data

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789343731
Length 492 pages
Edition 1st Edition
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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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Table of Contents (20) Chapters Close

Title Page
Copyright and Credits
Dedication
About Packt
Contributors
Preface
1. Getting Started with Image Processing FREE CHAPTER 2. Sampling, Fourier Transform, and Convolution 3. Convolution and Frequency Domain Filtering 4. Image Enhancement 5. Image Enhancement Using Derivatives 6. Morphological Image Processing 7. Extracting Image Features and Descriptors 8. Image Segmentation 9. Classical Machine Learning Methods in Image Processing 10. Deep Learning in Image Processing - Image Classification 11. Deep Learning in Image Processing - Object Detection, and more 12. Additional Problems in Image Processing 1. Other Books You May Enjoy Index

Face morphing


In Chapter 1, Getting Started with Image Processing, we discussed a naive face morphing technique based on simple α-blending, which looks terrible if the faces to be morphed are not aligned.

 

Let's conclude the last chapter by discussing a sophisticated face morphing technique, namely Beier-Neely morphing, which visually looks way smoother and better than α-blending for non-aligned faces. Here is the algorithm:

  1. Read in two image files, A and B.
  2. Specify the correspondence between source image and destination image interactively (by computing facial key points with PyStasm) using a set of line segment pairs. Save the line segment pair to lines file.
  3. Read the lines file. The lines file contains the line segment pairs SiA, SiB. 
  4. Compute destination line segments by linearly interpolating between SiA and SiB by warp fraction. These line segments define the destination shape.
  5. Warp image A to its destination shape, computing a new image A'. 
  6. Warp picture B to its destination shape, computing...
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