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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

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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