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Programming Computer Vision
with Python
Jan Erik Solem
Beijing • Cambridge • Farnham • K
¨
oln • Sebastopol • Tokyo

Programming Computer Vision with Python
by Jan Erik Solem
Copyright © 2012 Jan Erik Solem. All rights reserved.
Printed in the United States of America
Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472.
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contact our corporate/institutional sales department: (800) 998-9938 or corporate@oreilly.com.
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Editors: Andy Oram, Mike Hendrickson Proofreader: Richard Camp
Production editor: Holly Bauer Illustrator: Laurel Muller
June 2012 First edition
Revision History for the First Edition:
2012-06-11 First release
See http://oreilly.com/catalog/errata.csp?isbn=0636920022923 for release details.
Nutshell Handbook, the Nutshell Handbook logo, and the O’Reilly logo are registered trademarks
of O’Reilly Media, Inc. Programming Computer Vision with Python, the image of a bullhead fish,
and related trade dress are trademarks of O’Reilly Media, Inc.
Many of the designations used by manufacturers and sellers to distinguish their products are
claimed as trademarks. Where those designations appear in this book, and O’Reilly Media, Inc.,
was aware of a trademark claim, the designations have been printed in caps or initial caps.
While every precaution has been taken in the preparation of this book, the publisher and authors
assume no responsibility for errors or omissions, or for damages resulting from the use of the
information contained herein.
ISBN: 978-1-449-31654-9
[M]

Table of Contents
Preface .......................................................vii
1. Basic Image Handling and Processing ...............................1
1.1 PIL—The Python Imaging Library 1
1.2 Matplotlib 3
1.3 Nu m P y 7
1.4 S ciP y 16
1.5 Advanced Example: Image De-Noising 23
Exercises 26
Conventions for the Code Examples 27
2. Local Image Descriptors ........................................29
2.1 Harris Corner Detector 29
2.2 SIFT—Scale-Invariant Feature Transform 36
2.3 Matching Geotagged Images 44
Exercises 51
3. Image to Image Mappings ......................................53
3.1 Homographies 53
3.2 Warping Images 57
3.3 Creating Panoramas 70
Exercises 77
4. Camera Models and Augmented Reality .............................79
4.1 The Pin-Hole Camera Model 79
4.2 Camera Calibration 84
4.3 Pose Estimation from Planes and Markers 86
4.4 Augmented Reality 89
Exercises 98
iii
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