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Erschienen in:
On Fuzzy RDM-Arithmetic Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Mouth Features Extraction for Emotion Analysis

verfasst von : Robert Staniucha, Adam Wojciechowski

Erschienen in: Hard and Soft Computing for Artificial Intelligence, Multimedia and Security

Verlag: Springer International Publishing

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Abstract

Face emotions analysis is one of the fundamental techniques that might be exploited in a natural human-computer interaction process and thus is, one of the most studied topics in current computer vision literature. In consequence face features extraction is an indispensable element of the face emotion analysis as it influences decision making performance. The paper concentrates on mouth features extraction, which next to eye region features becomes one of the most representative face regions in the context of emotions retrieval. In the paper original, gradient based, mouth features extraction method was presented. Its high performance (exceeding 90 \(\%\) for selected features) was also verified for a subset of the Yale images database.

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Vorheriges Kapitel Accuracy of High-End and Self-build Eye-Tracking Systems
Nächstes Kapitel Sensitivity of Area–Perimeter Relation for Image Analysis and Image Segmentation Purposes
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Metadaten
Titel
Mouth Features Extraction for Emotion Analysis
verfasst von
Robert Staniucha
Adam Wojciechowski
Copyright-Jahr
2017
Buch
Hard and Soft Computing for Artificial Intelligence, Multimedia and Security

Print ISBN: 978-3-319-48428-0

Electronic ISBN: 978-3-319-48429-7

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-48429-7_21

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