Programming Computer Vision with Python. Tools and algorithms for analyzing images

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• Programming Computer Vision with Python
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• Preface
  • Prerequisites and Overview
    • What You Need to Know
    • What You Will Learn
    • Chapter Overview
  • Introduction to Computer Vision
  • Python and NumPy
  • Notation and Conventions
  • Using Code Examples
  • How to Contact Us
  • Safari Books Online
  • Acknowledgments
• 1. Basic Image Handling and Processing
  • 1.1 PILThe Python Imaging Library
    • Convert Images to Another Format
    • Create Thumbnails
    • Copy and Paste Regions
    • Resize and Rotate
  • 1.2 Matplotlib
    • Plotting Images, Points, and Lines
    • Image Contours and Histograms
    • Interactive Annotation
  • 1.3 NumPy
    • Array Image Representation
    • Graylevel Transforms
    • Image Resizing
    • Histogram Equalization
    • Averaging Images
    • PCA of Images
    • Using the Pickle Module
  • 1.4 SciPy
    • Blurring Images
    • Image Derivatives
    • MorphologyCounting Objects
    • Useful SciPy Modules
      • Reading and writing .mat files
      • Saving arrays as images
  • 1.5 Advanced Example: Image De-Noising
  • Exercises
  • Conventions for the Code Examples
• 2. Local Image Descriptors
  • 2.1 Harris Corner Detector
    • Finding Corresponding Points Between Images
  • 2.2 SIFTScale-Invariant Feature Transform
    • Interest Points
    • Descriptor
    • Detecting Interest Points
    • Matching Descriptors
  • 2.3 Matching Geotagged Images
    • Downloading Geotagged Images from Panoramio
    • Matching Using Local Descriptors
    • Visualizing Connected Images
  • Exercises
• 3. Image to Image Mappings
  • 3.1 Homographies
    • The Direct Linear Transformation Algorithm
    • Affine Transformations
  • 3.2 Warping Images
    • Image in Image
    • Piecewise Affine Warping
    • Registering Images
  • 3.3 Creating Panoramas
    • RANSAC
    • Robust Homography Estimation
    • Stitching the Images Together
  • Exercises
• 4. Camera Models and Augmented Reality
  • 4.1 The Pin-Hole Camera Model
    • The Camera Matrix
    • Projecting 3D Points
    • Factoring the Camera Matrix
    • Computing the Camera Center
  • 4.2 Camera Calibration
    • A Simple Calibration Method
  • 4.3 Pose Estimation from Planes and Markers
  • 4.4 Augmented Reality
    • PyGame and PyOpenGL
    • From Camera Matrix to OpenGL Format
    • Placing Virtual Objects in the Image
    • Tying It All Together
    • Loading Models
  • Exercises
• 5. Multiple View Geometry
  • 5.1 Epipolar Geometry
    • A Sample Data Set
    • Plotting 3D Data with Matplotlib
    • Computing FThe Eight Point Algorithm
    • The Epipole and Epipolar Lines
  • 5.2 Computing with Cameras and 3D Structure
    • Triangulation
    • Computing the Camera Matrix from 3D Points
    • Computing the Camera Matrix from a Fundamental Matrix
      • The uncalibrated caseprojective reconstruction
      • The calibrated casemetric reconstruction
  • 5.3 Multiple View Reconstruction
    • Robust Fundamental Matrix Estimation
    • 3D Reconstruction Example
    • Extensions and More Than Two Views
      • More views
      • Bundle adjustment
      • Self-calibration
  • 5.4 Stereo Images
    • Computing Disparity Maps
  • Exercises
• 6. Clustering Images
  • 6.1 K-Means Clustering
    • The SciPy Clustering Package
    • Clustering Images
    • Visualizing the Images on Principal Components
    • Clustering Pixels
  • 6.2 Hierarchical Clustering
    • Clustering Images
  • 6.3 Spectral Clustering
  • Exercises
• 7. Searching Images
  • 7.1 Content-Based Image Retrieval
    • Inspiration from Text MiningThe Vector Space Model
  • 7.2 Visual Words
    • Creating a Vocabulary
  • 7.3 Indexing Images
    • Setting Up the Database
    • Adding Images
  • 7.4 Searching the Database for Images
    • Using the Index to Get Candidates
    • Querying with an Image
    • Benchmarking and Plotting the Results
  • 7.5 Ranking Results Using Geometry
  • 7.6 Building Demos and Web Applications
    • Creating Web Applications with CherryPy
    • Image Search Demo
  • Exercises
• 8. Classifying Image Content
  • 8.1 K-Nearest Neighbors
    • A Simple 2D Example
    • Dense SIFT as Image Feature
    • Classifying ImagesHand Gesture Recognition
  • 8.2 Bayes Classifier
    • Using PCA to Reduce Dimensions
  • 8.3 Support Vector Machines
    • Using LibSVM
    • Hand Gesture Recognition Again
  • 8.4 Optical Character Recognition
    • Training a Classifier
    • Selecting Features
    • Multi-Class SVM
    • Extracting Cells and Recognizing Characters
    • Rectifying Images
  • Exercises
• 9. Image Segmentation
  • 9.1 Graph Cuts
    • Graphs from Images
    • Segmentation with User Input
  • 9.2 Segmentation Using Clustering
  • 9.3 Variational Methods
  • Exercises
• 10. OpenCV
  • 10.1 The OpenCV Python Interface
  • 10.2 OpenCV Basics
    • Reading and Writing Images
    • Color Spaces
    • Displaying Images and Results
  • 10.3 Processing Video
    • Video Input
    • Reading Video to NumPy Arrays
  • 10.4 Tracking
    • Optical Flow
    • The Lucas-Kanade Algorithm
      • Using the tracker
      • Using generators
  • 10.5 More Examples
    • Inpainting
    • Segmentation with the Watershed Transform
    • Line Detection with a Hough Transform
  • Exercises
• A. Installing Packages
  • A.1 NumPy and SciPy
    • Windows
    • Mac OS X
    • Linux
  • A.2 Matplotlib
  • A.3 PIL
  • A.4 LibSVM
  • A.5 OpenCV
    • Windows and Unix
    • Mac OS X
    • Linux
  • A.6 VLFeat
  • A.7 PyGame
  • A.8 PyOpenGL
  • A.9 Pydot
  • A.10 Python-graph
  • A.11 Simplejson
  • A.12 PySQLite
  • A.13 CherryPy
• B. Image Datasets
  • B.1 Flickr
  • B.2 Panoramio
  • B.3 Oxford Visual Geometry Group
  • B.4 University of Kentucky Recognition Benchmark Images
  • B.5 Other
    • Prague Texture Segmentation Datagenerator and Benchmark
    • MSR Cambridge Grab Cut Dataset
    • Caltech 101
    • Static Hand Posture Database
    • Middlebury Stereo Datasets
• C. Image Credits
  • C.1 Images from Flickr
  • C.2 Other Images
  • C.3 Illustrations
• D. References
• E. About the Author
• Index
• About the Author
• Colophon
• SPECIAL OFFER: Upgrade this ebook with OReilly
• Copyright

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