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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

What is the premise of augmented reality?


Before we jump into all the fun stuff, let's understand what augmented reality means. You will have probably seen the term augmented reality being used in a variety of contexts. So, we should understand the premise of augmented reality before we start discussing the implementation details. Augmented reality refers to the superimposition of computer-generated input, such as imagery, sounds, graphics, and text, on top of the real world.

Augmented reality tries to blur the line between what's real and what's computer-generated by seamlessly merging information and enhancing what we see and feel. It is actually closely related to a concept called mediated reality, where a computer modifies our view of reality. As a result of this, the technology works by enhancing our current perception of reality. Now, the challenge here is to make it look seamless to the user. It's easy to just overlay something on top of the input video, but we need to make it look...

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