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Mastering OpenCV with Practical Computer Vision Projects

You're reading from Mastering OpenCV with Practical Computer Vision Projects This is the definitive advanced tutorial for OpenCV, designed for those with basic C++ skills. The computer vision projects are divided into easily assimilated chapters with an emphasis on practical involvement for an easier learning curve.

Product type Paperback

Published in Dec 2012

Publisher Packt

ISBN-13 9781849517829

Length 340 pages

Edition 1st Edition

Languages

C

Tools

OpenCV

Concepts

Computer Vision

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 FREE CHAPTER

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

Summary

In this chapter you have learned about feature descriptors and how to use them to define a scale and a rotation invariant pattern description. This description can be used to find similar entries in other images. The strengths and weaknesses of most popular feature descriptors were also explained. In the second half of the chapter, we learned how to use OpenGL and OpenCV together for rendering augmented reality.

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