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OpenCV 3.x with Python By Example

You're reading from   OpenCV 3.x with Python By Example Make the most of OpenCV and Python to build applications for object recognition and augmented reality

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788396905
Length 268 pages
Edition 2nd Edition
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Authors (2):
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Gabriel Garrido Calvo Gabriel Garrido Calvo
Author Profile Icon Gabriel Garrido Calvo
Gabriel Garrido Calvo
Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
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Table of Contents (17) Chapters Close

Title Page
Copyright and Credits
Contributors
Packt Upsell
Preface
1. Applying Geometric Transformations to Images FREE CHAPTER 2. Detecting Edges and Applying Image Filters 3. Cartoonizing an Image 4. Detecting and Tracking Different Body Parts 5. Extracting Features from an Image 6. Seam Carving 7. Detecting Shapes and Segmenting an Image 8. Object Tracking 9. Object Recognition 10. Augmented Reality 11. Machine Learning by an Artificial Neural Network 1. Other Books You May Enjoy

Summary


In this chapter, you learned about the premise of augmented reality and gained an understanding of what an augmented reality system looks like. We discussed the geometric transformations required for augmented reality. You also learned how to use those transformations to estimate the camera pose, and you learned how to track planar objects. We discussed how we can add virtual objects on top of the real world. You learned how to modify virtual objects in different ways to add cool effects. 

In the next chapter, we will learn how to apply machine learning techniques, along with artificial neural networks, which will help us to enhance the knowledge already acquired in Chapter 9, Object Recognition.

 

 

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