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OpenCV Android Application Programming电子书

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13人正在读 | 0人评论 9.8

作       者:Joseph Howse

出  版  社:Packt Publishing

出版时间:2013-09-25

字       数:22.6万

所属分类: 进口书 > 外文原版书 > 电脑/网络

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A step-by-step tutorial to help you master computer vision and mobile app development.This book is for Java developers who are new to computer vision and who would like to learn about how it is used in relation to application development. It is assumed that you have previous experience in Java, but not necessarily Android. A basic understanding of image data (for example pixels and color channels) would be helpful too. You are expected to have a mobile device running Android 2.2 (Froyo) or greater and it must have a camera
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Android Application Programming with OpenCV

Table of Contents

Android Application Programming with OpenCV

Credits

About the Author

About the Reviewers

www.PacktPub.com

Support files, eBooks, discount offers and more

Why Subscribe?

Free Access for Packt account holders

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

Errata

Piracy

Questions

1. Setting Up OpenCV

System requirements

Setting up a development environment

Getting a ready-made development environment – Tegra Android Development Pack (TAPD)

Assembling a development environment piece-by-piece

Getting the prebuilt OpenCV4Android

Building OpenCV4Android from source

Building the OpenCV samples with Eclipse

Finding documentation and help

Summary

2. Working with Camera Frames

Designing our app – Second Sight

Creating the Eclipse project

Enabling camera and disk access in the manifest

Creating menu and string resources

Previewing and saving photos in CameraActivity

Deleting, editing, and sharing photos in LabActivity

Summary

3. Applying Image Effects

Adding files to the project

Defining the Filter interface

Mixing color channels

Making subtle color shifts with curves

Processing a neighborhood of pixels with convolution filters

Adding the filters to CameraActivity

Summary

4. Recognizing and Tracking Images

Adding files to the project

Understanding image tracking

Writing an image tracking filter

Adding the tracker filters to CameraActivity

Summary

5. Combining Image Tracking with 3D Rendering

Adding files to the project

Defining the ARFilter interface

Building projection matrices in CameraProjectionAdapter

Modifying ImageDetectionFilter for 3D tracking

Rendering the cube in ARCubeRenderer

Adding 3D tracking and rendering to CameraActivity

Learning more about 3D graphics on Android

Summary

Index

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