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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

What's next?


What we have right now is a very barebones implementation of video stabilization. There are a few more things you can add to it to make it more robust, more automated and the output more pleasing to the eye. Here are a few things to get you started.

Identifying gyroscope axes

In this chapter, we've hard-coded the axes of the gyroscope. This might not be the case for all mobile phone manufacturers. Using a similar calibration technique, you should be able to find an axes configuration that minimizes errors across the video.

Estimating the rolling shutter direction

We've hard-coded the direction of the rolling shutter. Using specific techniques (like blinking an LED really fast at the camera), it is possible to estimate the direction of the rolling shutter and incorporate that into the calibration code. Certain camera sensors don't have the rolling shutter artifacts at all. This test can also identify if such a sensor is being used.

Smoother timelapses

Now that we've stabilized the...

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