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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

Face detection and recognition


Most existing authentication systems start by detecting a face and trying to recognize it by matching it to a database of known people who use the system. This subsection will take a closer look at that. We will not dive into every single parameter of the software.

Note

If you want more information about complete face detection and the recognition pipeline for both people and cats, then take a look at one of the PacktPub books called OpenCV for Secret Agents. It looks at the complete process in more detail.

If you want a very detailed explanation of the parameters used for the face detection interface in OpenCV based on the cascade classification pipeline from Viola and Jones, then I suggest going to Chapter 5, Generic Object Detection for Industrial Applications, which discusses the interface generalized for generic object detection.

Whenever you are focusing on an authentication system, you want to make sure that you are familiar with the different sub-tasks...

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