Learning OpenCV

Preface;
Purpose;
About the Programs in This Book;
Prerequisites;
How This Book Is Best Used;
Conventions Used in This Book;
Using Code Examples;
Safari® Books Online;
We'd Like to Hear from You;
Acknowledgments;
Chapter 1: Overview;
1.1 What Is OpenCV?;
1.2 Who Uses OpenCV?;
1.3 What Is Computer Vision?;
1.4 The Origin of OpenCV;
1.5 Downloading and Installing OpenCV;
1.6 Getting the Latest OpenCV via CVS;
1.7 More OpenCV Documentation;
1.8 OpenCV Structure and Content;
1.9 Portability;
1.10 Exercises;
Chapter 2: Introduction to OpenCV;
2.1 Getting Started;
2.2 First Program—Display a Picture;
2.3 Second Program—AVI Video;
2.4 Moving Around;
2.5 A Simple Transformation;
2.6 A Not-So-Simple Transformation;
2.7 Input from a Camera;
2.8 Writing to an AVI File;
2.9 Onward;
2.10 Exercises;
Chapter 3: Getting to Know OpenCV;
3.1 OpenCV Primitive Data Types;
3.2 CvMat Matrix Structure;
3.3 IplImage Data Structure;
3.4 Matrix and Image Operators;
3.5 Drawing Things;
3.6 Data Persistence;
3.7 Integrated Performance Primitives;
3.8 Summary;
3.9 Exercises;
Chapter 4: HighGUI;
4.1 A Portable Graphics Toolkit;
4.2 Creating a Window;
4.3 Loading an Image;
4.4 Displaying Images;
4.5 Working with Video;
4.6 ConvertImage;
4.7 Exercises;
Chapter 5: Image Processing;
5.1 Overview;
5.2 Smoothing;
5.3 Image Morphology;
5.4 Flood Fill;
5.5 Resize;
5.6 Image Pyramids;
5.7 Threshold;
5.8 Exercises;
Chapter 6: Image Transforms;
6.1 Overview;
6.2 Convolution;
6.3 Gradients and Sobel Derivatives;
6.4 Laplace;
6.5 Canny;
6.6 Hough Transforms;
6.7 Remap;
6.8 Stretch, Shrink, Warp, and Rotate;
6.9 CartToPolar and PolarToCart;
6.10 LogPolar;
6.11 Discrete Fourier Transform (DFT);
6.12 Discrete Cosine Transform (DCT);
6.13 Integral Images;
6.14 Distance Transform;
6.15 Histogram Equalization;
6.16 Exercises;
Chapter 7: Histograms and Matching;
7.1 Basic Histogram Data Structure;
7.2 Accessing Histograms;
7.3 Basic Manipulations with Histograms;
7.4 Some More Complicated Stuff;
7.5 Exercises;
Chapter 8: Contours;
8.1 Memory Storage;
8.2 Sequences;
8.3 Contour Finding;
8.4 Another Contour Example;
8.5 More to Do with Contours;
8.6 Matching Contours;
8.7 Exercises;
Chapter 9: Image Parts and Segmentation;
9.1 Parts and Segments;
9.2 Background Subtraction;
9.3 Watershed Algorithm;
9.4 Image Repair by Inpainting;
9.5 Mean-Shift Segmentation;
9.6 Delaunay Triangulation, Voronoi Tesselation;
9.7 Exercises;
Chapter 10: Tracking and Motion;
10.1 The Basics of Tracking;
10.2 Corner Finding;
10.3 Subpixel Corners;
10.4 Invariant Features;
10.5 Optical Flow;
10.6 Mean-Shift and Camshift Tracking;
10.7 Motion Templates;
10.8 Estimators;
10.9 The Condensation Algorithm;
10.10 Exercises;
Chapter 11: Camera Models and Calibration;
11.1 Camera Model;
11.2 Calibration;
11.3 Undistortion;
11.4 Putting Calibration All Together;
11.5 Rodrigues Transform;
11.6 Exercises;
Chapter 12: Projection and 3D Vision;
12.1 Projections;
12.2 Affine and Perspective Transformations;
12.3 POSIT: 3D Pose Estimation;
12.4 Stereo Imaging;
12.5 Structure from Motion;
12.6 Fitting Lines in Two and Three Dimensions;
12.7 Exercises;
Chapter 13: Machine Learning;
13.1 What Is Machine Learning;
13.2 Common Routines in the ML Library;
13.3 Mahalanobis Distance;
13.4 K-Means;
13.5 Naïve/Normal Bayes Classifier;
13.6 Binary Decision Trees;
13.7 Boosting;
13.8 Random Trees;
13.9 Face Detection or Haar Classifier;
13.10 Other Machine Learning Algorithms;
13.11 Exercises;
Chapter 14: OpenCV's Future;
14.1 Past and Future;
14.2 Directions;
14.3 OpenCV for Artists;
14.4 Afterword;
Chapter 15: Bibliography;
Colophon;