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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

Processing images to show subtle colors and motion

By now, you have probably captured some exposure-bracketed photos and time-lapse photos. Upload them onto your computer using a photo management application, a file browser, or the following gPhoto2 command:

$ gphoto2 --get-all-files

The latter command will upload the files to the current working directory.

We will merge exposure-bracketed photos to create HDR images, which will improve color rendition in shadows and highlights. Similarly, we will merge time-lapse photos to create time-lapse videos, which will show gradual motion on an accelerated scale. We will start by processing some of the sample photos from the book's GitHub repository at https://github.com/OpenCVBlueprints/OpenCVBlueprints/tree/master/chapter_2/CameraTrap/media, and then you will be able to adapt the code to use your photos instead.

Creating HDR images

OpenCV 3 has a new module called "photo". Two of its classes, MergeDebevec and MergeMertens, create an...

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