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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

Chapter 7. Gyroscopic Video Stabilization

Video stabilization is a classic problem in computer vision. The idea is simple – you have a video stream that's shaky, and you're trying to identify the best way to negate the motion of the camera to produce a smooth motion across images. The resulting video is easier to view and has a cinematic look.

Over the years, there have been a number of approaches being tried to solve this. Videos have traditionally been stabilized by using data available only from images, or using specialized hardware to negate physical motion in the camera. Gyroscopes in mobile devices are the middle ground between these two approaches.

In this chapter, we'll cover the following:

  • An Android camera application to record media and gyroscope traces
  • Using the video and gyroscope trace to find mathematical unknowns
  • Using the physical camera unknowns to compensate for camera motion
  • Identifying rolling shutter in the camera

Note

Rolling shutter on a camera...

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