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OpenCV 3 Blueprints

You're reading from  OpenCV 3 Blueprints

Product type Book
Published in Nov 2015
Publisher
ISBN-13 9781784399757
Pages 382 pages
Edition 1st Edition
Languages

Table of Contents (14) Chapters

OpenCV 3 Blueprints
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Getting the Most out of Your Camera System Photographing Nature and Wildlife with an Automated Camera Recognizing Facial Expressions with Machine Learning Panoramic Image Stitching Application Using Android Studio and NDK Generic Object Detection for Industrial Applications Efficient Person Identification Using Biometric Properties Gyroscopic Video Stabilization Index

Further reading


We have introduced a basic system for facial expression. If you are really interested in this topic, you may want to read this section for more guidance on how to improve the performance of the system. In this section, we will introduce you to compiling the opencv_contrib module, the Kaggle facial expression dataset, and the k-cross validation approach. We will also give you some suggestions on how to get better feature extraction.

Compiling the opencv_contrib module

In this section, we will introduce the process for compiling opencv_contrib in Linux-based systems. If you use Windows, you can use the Cmake GUI with the same options.

First, clone the opencv repository to your local machine:

git clone https://github.com/Itseez/opencv.git --depth=1

Second, clone the opencv_contrib repository to your local machine:

git clone https://github.com/Itseez/opencv_contrib --depth=1

Change directory to the opencv folder and make a build directory:

cd opencv
mkdir build
cd build

Build OpenCV...

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