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OpenCV with Python By Example

You're reading from OpenCV with Python By Example Build real-world computer vision applications and develop cool demos using OpenCV for Python

Product type Paperback

Published in Sep 2015

Publisher Packt

ISBN-13 9781785283932

Length 296 pages

Edition 1st Edition

Languages

Python

Tools

OpenCV

Concepts

Computer Vision

Author (1):

Joshi

View More author details

Table of Contents (19) Chapters

OpenCV with Python By Example

Credits

About the Author

About the Reviewers

www.PacktPub.com

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. Creating a Panoramic Image

7. Seam Carving

8. Detecting Shapes and Segmenting an Image

9. Object Tracking

10. Object Recognition

11. Stereo Vision and 3D Reconstruction

12. Augmented Reality

Index

Chapter 12. Augmented Reality

In this chapter, you are going to learn about augmented reality and how you can use it to build cool applications. We will discuss pose estimation and plane tracking. You will learn how to map the coordinates from 2D to 3D, and how we can overlay graphics on top of a live video.

By the end of this chapter, you will know:

What is the premise of augmented reality
What is pose estimation
How to track a planar object
How to map coordinates from 3D to 2D
How to overlay graphics on top of a video in real time

The rest of the chapter is locked

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Authors (1)

Joshi

Joshi

Prateek Joshi is the founder of Plutoshift and a published author of 9 books on Artificial Intelligence. He has been featured on Forbes 30 Under 30, NBC, Bloomberg, CNBC, TechCrunch, and The Business Journals. He has been an invited speaker at conferences such as TEDx, Global Big Data Conference, Machine Learning Developers Conference, and Silicon Valley Deep Learning. Apart from Artificial Intelligence, some of the topics that excite him are number theory, cryptography, and quantum computing. His greater goal is to make Artificial Intelligence accessible to everyone so that it can impact billions of people around the world.

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