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OpenCV 3 Blueprints

You're reading from  OpenCV 3 Blueprints

Product type Book
Published in Nov 2015
Publisher
ISBN-13 9781784399757
Pages 382 pages
Edition 1st Edition
Languages

Table of Contents (14) Chapters

OpenCV 3 Blueprints
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Getting the Most out of Your Camera System 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

Project overview


Let's take a moment to understand how the code in this chapter is organized. We have two moving pieces. One is the mobile application and the second is the video stabilizer.

The mobile app only records video and stores the gyroscope signals during the video. It dumps this data into two files: a .mp4 and a .csv file. These two files are the input for the next step. There is no computation on the mobile device. In this chapter, we'll use Android as our platform. Moving to any other platform should be fairly easy—we are doing only basic tasks that any platform should support.

The video stabilizer runs on a desktop. This is to help you figure out what's happening in the stabilization algorithm much more easily. Debugging, stepping through code and viewing images on a mobile device is relatively slower than iterating on a desktop. We have some really good scientific modules available for free (from the Python community. In this project, we will use Scipy, Numpy, and Matplotlib...

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