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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

A hybrid of hardware and software


This chapter covers a hybrid solution between the original software-only approach and hardware devices. This became possible only recently, with the advent of the smartphone. People now had a high quality camera and a gyroscope in a small form.

The idea behind this approach is to use the gyroscope to capture motion and the camera sensor to capture light. These two streams are then fused so that the image is always stable.

As the sensors' density increases and we head to 4K cameras, selecting a (stable) subregion of the image becomes an increasingly viable option as we can discard more of the image without compromising on the quality.

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