iOS Application Development with OpenCV 3电子书

iOS Application Development with OpenCV 3

Table of Contents

iOS Application Development with OpenCV 3

Credits

About the Author

Acknowledgments

About the Reviewer

www.PacktPub.com

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Why subscribe?

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Downloading the color images of this book

Errata

Piracy

Questions

1. Setting Up Software and Hardware

Setting up Apple's developer tools

Setting up the OpenCV framework

Getting the prebuilt framework with standard modules

Building the framework from source with extra modules

Making the extra modules optional in our code

Developing a minimal application

Creating the project

Adding files to the project

Configuring the project

Laying out an interface

Writing the code

Connecting an interface element to the code

Building and running the application

Distributing to testers and customers

Finding documentation and support

Understanding the camera and setting up photographic accessories

Lights

Tripods and other stabilization

Lens attachments

Summary

2. Capturing, Storing, and Sharing Photos

Planning a photo sharing application

Configuring the project

Adding frameworks

Specifying the camera requirement

Defining and laying out the view controller

Controlling the camera

Subclassing CvVideoCamera

Using the CvVideoCamera subclass in the view controller

Working with various color formats

RGB, BGR, RGBA, and BGRA

YUV and grayscale

Starting and stopping the busy mode

Saving an image to the Photos library

Displaying an alert

Sharing an image via social media

Running the application

Summary

3. Blending Images

Thinking about hybrid images

Planning the blending controls

Expanding the view controller's interface

Expanding the view controller's implementation

Using the application for practical purposes

Seeing changes in a scene

Previewing a new object in a scene

Previewing a copy of a document or drawing

Summary

4. Detecting and Merging Faces of Mammals

Understanding detection with cascade classifiers

Haar-like features

Local binary pattern features

Understanding transformations

Planning a face merging application

Configuring the project

Defining faces and a face detector

Defining and laying out the view controllers

Capturing and previewing real faces

Reviewing, saving, and sharing hybrid faces

Seguing between the view controllers

Detecting a hierarchy of face elements

Aligning and blending face elements

Using the application and acting like a cat

Learning more about face analysis

Summary

5. Classifying Coins and Commodities

Understanding blob detection

Segmentation

Canny edge detection

Contour analysis

Understanding histogram analysis

Understanding keypoint matching

SURF and FLANN

ORB and brute-force Hamming-distance matching

Planning an object classification application

Configuring the project

Defining blobs and a blob detector

Defining blob descriptors and a blob classifier

Laying out the splash screen

Defining and laying out the view controllers

Capturing and previewing blobs

Reviewing, saving, and sharing classified blobs

Seguing between the view controllers

Detecting blobs against a plain background

Classifying blobs by color and keypoints

Using the application and testing the tough cases

An unevenly-lit background

Motion blur

Out of focus

Reflection

Overlapping blobs

Taking your study of OpenCV to the next level

Summary

Index