学习OpenCV

Preface

1. Overview

What Is OpenCV?

Who Uses OpenCV?

What Is Computer Vision?

The Origin of OpenCV

Downloading and Installing OpenCV

Getting the Latest OpenCV via CVS

More OpenCV Documentation

OpenCV Structure and Content

Portability

Exercises

2. Introduction to OpenCV

Getting Started

First Program——Display a Picture

Second Program——AVI Video

Moving Around

A Simple Transformation

A Not-So-Simple Transformation

Input from a Camera

Writing to an AVI File

Onward

Exercises

3. Gettingto KnowOpenCV

OpenCV Primitive Data Types

CvMat Matrix Structure

IplImage Data Structure

Matrix and Image Operators

Drawing Things

Data Persistence

Integrated Performance Primitives

Summary

Exercises

4. HighGUI

A Portable Graphics Toolkit

Creating a Window

Loading an Image

Displaying Images

Working with Video

ConvertImage

Exercises

5. Image Processing

Overview

Smoothing

Image Morphology

Flood Fill

Resize

Image Pyramids

Threshold

Exercises

6. Image Transforms

Overview

Convolution

Gradients and Sobel Derivatives

Laplace

Canny

Hough Transforms

Remap

Stretch, Shrink, Warp, and Rotate

CartToPolar and PolarToCart

LogPolar

Discrete Fourier Transform (DFT)

Discrete Cosine Transform (DCT)

Integral Images

Distance Transform

Histogram Equalization

Exercises

7. Histograms and Matching

Basic Histogram Data Structure

Accessing Histograms

Basic Manipulations with Histograms

Some More Complicated Stuff

Exercises

8. Contours

Memory Storage

Sequences

Contour Finding

Another Contour Example

More to Do with Contours

Matching Contours

Exercises

9. Image Parts and Segmentation

Parts and Segments

Background Subtraction

Watershed Algorithm

Image Repair by Inpainting

Mean-Shift Segmentation

Delaunay Triangulation, Voronoi Tesselation

Exercises

10. Tracking and Motion

The Basics of Tracking

Corner Finding

Subpixel Corners

Invariant Features

Optical Flow

Mean-Shift and Camshift Tracking

Motion Templates

Estimators

The Condensation Algorithm

Exercises

11. Camera Models and Calibration

Camera Model

Calibration

Undistortion

Putting Calibration All Together

Rodrigues Transform

Exercises

12. Projection and 3D Vision

Projections

Affine and Perspective Transformations

POSIT: 3D Pose Estimation

Stereo Imaging

Structure from Motion

Fitting Lines in Two and Three Dimensions

Exercises

13. Machine Learning

What Is Machine Learning

Common Routines in the ML Library

Mahalanobis Distance

K-Means

Naive/Normal Bayes Classifier

Binary Decision Trees

Boosting

Random Trees

Face Detection or Haar Classifier

Other Machine Learning Algorithms

Exercises

14. OpenCVs Future

Past and Future

Directions

OpenCV for Artists

Afterword

Bibliography

Index

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