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Mastering OpenCV with Practical Computer Vision Projects

You're reading from  Mastering OpenCV with Practical Computer Vision Projects

Product type Book
Published in Dec 2012
Publisher Packt
ISBN-13 9781849517829
Pages 340 pages
Edition 1st Edition
Languages

Table of Contents (15) Chapters

Mastering OpenCV with Practical Computer Vision Projects
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Cartoonifier and Skin Changer for Android 2. Marker-based Augmented Reality on iPhone or iPad 3. Marker-less Augmented Reality 4. Exploring Structure from Motion Using OpenCV 5. Number Plate Recognition Using SVM and Neural Networks 6. Non-rigid Face Tracking 7. 3D Head Pose Estimation Using AAM and POSIT 8. Face Recognition using Eigenfaces or Fisherfaces Index

Chapter 3. Marker-less Augmented Reality

In this chapter readers will learn how to create a standard real-time project using OpenCV (for desktop), and how to perform a new method of marker-less augmented reality, using the actual environment as the input instead of printed square markers. This chapter will cover some of the theory of marker-less AR and show how to apply it in useful projects.

The following is a list of topics that will be covered in this chapter:

  • Marker-based versus marker-less AR

  • Using feature descriptors to find an arbitrary image on video

  • Pattern pose estimation

  • Application infrastructure

  • Enabling support for OpenGL visualization in OpenCV

  • Rendering the augmented reality

  • Demonstration

Before we start, let me give you a brief list of the knowledge required for this chapter and the software you will need:

  • Basic knowledge of CMake. CMake is a cross-platform, open-source build system designed to build, test, and package software. Like the OpenCV library, the demonstration project for...

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