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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

Detecting the presence of a photogenic subject

Chapter 1, Getting the Most out of Your Camera System, proposed that a photograph ought to capture a subject in a moment. Let's explore this notion further as we search for ways to detect a desirable or "photogenic" subject and moment.

As a medium, photography uses light, an aperture, a photosensitive surface, and time to draw an image of a scene. The earliest photographic technology, in the 1820s, lacked the resolution and speed to convey a detailed subject in a precise moment, but it was able to capture a grainy scene on a sunny day. Later, with better lenses, flashes, and photosensitive surfaces, photography became capable of capturing a sharp scene, a formal portrait, a faster and more natural portrait, and finally a moment of action, frozen in time.

Consider the following series of famous photographs, ranging from 1826 to 1942:

Detecting the presence of a photogenic subject

For general interest, here are some details about the preceding photographs:

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