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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

Introducing facial expression recognition


Automatic facial expression recognition is an interesting and challenging problem and has several important applications in many areas such as human-computer interaction, human behavior understanding, and data-driven animation. Unlike face recognition, facial expression recognition needs to discriminate between the same expression in different individuals. The problem becomes more difficult as a person may show the same expression in different ways.

The current existing approaches for measuring facial expressions can be categorized into two types: static image and image sequence. In the static image approach, the system analyzes the facial expression in each image frame separately. In the image sequence approach, the system tries to capture the temporal pattern of the motion and changes seen on the face in the sequence of image frames. Recently, attention has been shifted toward the image sequence approach. However, this approach is more difficult...

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