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Deep Learning for Computer Vision

You're reading from   Deep Learning for Computer Vision Expert techniques to train advanced neural networks using TensorFlow and Keras

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788295628
Length 310 pages
Edition 1st Edition
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Author (1):
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Rajalingappaa Shanmugamani Rajalingappaa Shanmugamani
Author Profile Icon Rajalingappaa Shanmugamani
Rajalingappaa Shanmugamani
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Toc

Table of Contents (12) Chapters Close

Preface 1. Getting Started 2. Image Classification FREE CHAPTER 3. Image Retrieval 4. Object Detection 5. Semantic Segmentation 6. Similarity Learning 7. Image Captioning 8. Generative Models 9. Video Classification 10. Deployment 11. Other Books You May Enjoy

Human face analysis

The human face can be analyzed in multiple ways using computer vision. There are several factors that are to be considered for this, which are listed here:

  • Face detection: Finding the bounding box of location of faces
  • Facial landmark detection: Finding the spatial points of facial features such as nose, mouth and so on
  • Face alignment: Transforming the face into a frontal face for further analysis
  • Attribute recognition: Finding attributes such as gender, smiling and so on
  • Emotion analysis: Analysing the emotions of persons
  • Face verification: Finding whether two images belong to the same person
  • Face recognition: Finding an identity for the face
  • Face clustering: Grouping the faces of the same person together 

Let's learn about the datasets and implementation of these tasks in detail, in the following sections.

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