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OpenCV 3 Blueprints

You're reading from   OpenCV 3 Blueprints Expand your knowledge of computer vision by building amazing projects with OpenCV 3

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Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781784399757
Length 382 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (9) Chapters Close

Preface 1. Getting the Most out of Your Camera System FREE CHAPTER 2. Photographing Nature and Wildlife with an Automated Camera 3. Recognizing Facial Expressions with Machine Learning 4. Panoramic Image Stitching Application Using Android Studio and NDK 5. Generic Object Detection for Industrial Applications 6. Efficient Person Identification Using Biometric Properties 7. Gyroscopic Video Stabilization Index

Capturing data


First, we need to create an app for a mobile device that can capture both images and gyroscope signals simultaneously. Interestingly, these aren't readily available (at least on Android).

Once we have a video and gyro stream, we'll look at how to use that data.

Create a standard Android application (I use Android Studio). We'll start by creating a blank application. The goal is to create a simple app that starts recording video and gyro signals on touching the screen. On touching again, the recording stops and a video file and a text file are saved on the phone. These two files can then be used by OpenCV to compute the best stabilization.

Note

Code in this section is available in the GitHub repository for this book: https://github.com/OpenCVBlueprints/OpenCVBlueprints/tree/master/chapter_7

Recording video

We'll start by implementing a simple video recording utility. Create a new blank project in Android Studio (I named it GyroRecorder and named the activity Recorder). First, we...

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