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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

References

Multiple View Geometry in Computer Vision, Richard Hartley and Andrew Zisserman, Cambridge University Press
Triangulation, Richard I. Hartley and Peter Sturm, Computer vision and image understanding, Vol. 68, pp . 146-157
http://cvlab.epfl.ch/~strecha/multiview/denseMVS.html
On Benchmarking Camera Calibration and Multi-View Stereo for High Resolution Imagery,C. Strecha, W. von Hansen, L. Van Gool, P. Fua, and U. Thoennes sen, CVPR
http://www.inf.ethz.ch/personal/chzach/opensource.html
http://www.ics.forth.gr/~lourakis/sba/
http://code.google.com/p/libmv/
http://www.cs.washington.edu/homes/ccwu/vsfm/
http://phototour.cs.washington.edu/bundler/
http://photosynth.net/
http://en.wikipedia.org/wiki/Simultaneous_localization_and_mapping
http://pointclouds.org
http://www.cmake.org

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