Books & Videos

Table of Contents

  1. Chapter 1 Basic Image Handling and Processing

    1. 1.1 PIL—The Python Imaging Library

    2. 1.2 Matplotlib

    3. 1.3 NumPy

    4. 1.4 SciPy

    5. 1.5 Advanced Example: Image De-Noising

    6. Exercises

    7. Conventions for the Code Examples

  2. Chapter 2 Local Image Descriptors

    1. 2.1 Harris Corner Detector

    2. 2.2 SIFT—Scale-Invariant Feature Transform

    3. 2.3 Matching Geotagged Images

    4. Exercises

  3. Chapter 3 Image to Image Mappings

    1. 3.1 Homographies

    2. 3.2 Warping Images

    3. 3.3 Creating Panoramas

    4. Exercises

  4. Chapter 4 Camera Models and Augmented Reality

    1. 4.1 The Pin-Hole Camera Model

    2. 4.2 Camera Calibration

    3. 4.3 Pose Estimation from Planes and Markers

    4. 4.4 Augmented Reality

    5. Exercises

  5. Chapter 5 Multiple View Geometry

    1. 5.1 Epipolar Geometry

    2. 5.2 Computing with Cameras and 3D Structure

    3. 5.3 Multiple View Reconstruction

    4. 5.4 Stereo Images

    5. Exercises

  6. Chapter 6 Clustering Images

    1. 6.1 K-Means Clustering

    2. 6.2 Hierarchical Clustering

    3. 6.3 Spectral Clustering

    4. Exercises

  7. Chapter 7 Searching Images

    1. 7.1 Content-Based Image Retrieval

    2. 7.2 Visual Words

    3. 7.3 Indexing Images

    4. 7.4 Searching the Database for Images

    5. 7.5 Ranking Results Using Geometry

    6. 7.6 Building Demos and Web Applications

    7. Exercises

  8. Chapter 8 Classifying Image Content

    1. 8.1 K-Nearest Neighbors

    2. 8.2 Bayes Classifier

    3. 8.3 Support Vector Machines

    4. 8.4 Optical Character Recognition

    5. Exercises

  9. Chapter 9 Image Segmentation

    1. 9.1 Graph Cuts

    2. 9.2 Segmentation Using Clustering

    3. 9.3 Variational Methods

    4. Exercises

  10. Chapter 10 OpenCV

    1. 10.1 The OpenCV Python Interface

    2. 10.2 OpenCV Basics

    3. 10.3 Processing Video

    4. 10.4 Tracking

    5. 10.5 More Examples

    6. Exercises

  1. Appendix Installing Packages

    1. A.1 NumPy and SciPy

    2. A.2 Matplotlib

    3. A.3 PIL

    4. A.4 LibSVM

    5. A.5 OpenCV

    6. A.6 VLFeat

    7. A.7 PyGame

    8. A.8 PyOpenGL

    9. A.9 Pydot

    10. A.10 Python-graph

    11. A.11 Simplejson

    12. A.12 PySQLite

    13. A.13 CherryPy

  2. Appendix Image Datasets

    1. B.1 Flickr

    2. B.2 Panoramio

    3. B.3 Oxford Visual Geometry Group

    4. B.4 University of Kentucky Recognition Benchmark Images

    5. B.5 Other

  3. Appendix Image Credits

    1. C.1 Images from Flickr

    2. C.2 Other Images

    3. C.3 Illustrations

  4. Appendix References

  5. Appendix About the Author

  6. Colophon