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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

Calibration


In the section that discusses the mathematical basis, we found several unknown camera parameters. These parameters need to be figured out so we can process each image and stabilize it. As with any calibration process, we need to use a predefined scene. Using this scene and a relative handshake, we will try to estimate the unknown parameters.

The unknown parameters are:

  • Focal length of the lens

  • Delay between gyroscope and frame timestamps

  • Bias in the gyroscope

  • Duration of the rolling shutter

It is often possible to detect the focal length of a phone camera (in terms of millimeters) using the platform API (getFocalLength() for Android). However, we're interested in the camera space focal length. This number is a product of the physical focal length and a conversion ratio that depends on the image resolution and the physical size of the camera sensor, which might differ across cameras. It is also possible to find the conversion ratio by trigonometry if the field of view (getVerticalViewAngle...

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