Book Image

Android Application Programming with OpenCV 3

By : Joseph Howse
Book Image

Android Application Programming with OpenCV 3

By: Joseph Howse

Overview of this book

<p>Android Application Programming with OpenCV 3 is a practical, hands-on guide to computer vision and mobile app development. It shows how to capture, manipulate, and analyze images while building an application that combines photography and augmented reality. To help the reader become a well-rounded developer, the book covers OpenCV (a computer vision library), Android SDK (a mobile app framework), OpenGL ES (a 3D graphics framework), and even JNI (a Java/C++ interoperability layer).</p> <p>Now in its second edition, the book offers thoroughly reviewed code, instructions, and explanations. It is fully updated to support OpenCV 3 and Android 5, as well as earlier versions. Although it focuses on OpenCV's Java bindings, this edition adds an extensive chapter on JNI and C++, so that the reader is well primed to use OpenCV in other environments.</p>

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Android Application Programming with OpenCV 3
Joseph Howse
Jun, 2015 | 190 pages
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Table of Contents (13 chapters)
Android Application Programming with OpenCV 3
Android Application Programming with OpenCV 3
Credits
Credits
About the Author
About the Author
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Setting Up OpenCV
Setting Up OpenCV
System requirements
Setting up a development environment
Building the OpenCV samples with Eclipse
Troubleshooting Eclipse projects
Troubleshooting the USB connection
Finding the documentation and help
Summary
2
Working with Camera Frames
Working with Camera Frames
Designing our app – Second Sight
Creating the Eclipse project
Summary
3
Applying Image Effects
Applying Image Effects
Adding files to the project
Mixing color channels
Making subtle color shifts with curves
Mixing pixels with convolution filters
Adding the filters to CameraActivity
Summary
4
Recognizing and Tracking Images
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
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
6
Mixing Java and C++ via JNI
Mixing Java and C++ via JNI
Understanding the role of JNI
Measuring performance
Adding files to the project
Building the native library
Modifying the filter interface
Porting the channel-mixing filters to C++
Porting the edge-enhancing filter to C++
Porting the ARFilter to C++
Learning more about OpenCV and C++
Summary
Index
Index

Summary

By now, we should have an Android and OpenCV development environment that can do everything we need for the application described in this book's remaining chapters. Depending on the approach we took, we might also have a set of tools that we can use to reconfigure and rebuild OpenCV for our future needs.

We know how to build the OpenCV Android samples in Eclipse. These samples cover a different range of functionality to this book's project, but they are useful as additional learning aids. We also know where to find the documentation and help.

Now that we have the necessary tools and reference materials to hand, our first ambition as application developers is to control a camera! Throughout the next chapter, we will use Android SDK and OpenCV to preview, capture, and share photographs.

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