Improved gradient local ternary patterns for facial expression recognition

Improved gradient local ternary patterns for facial expression recognition

Abstract Automated human emotion detection is a topic of significant interest in the field of computer vision. Over the past decade, much emphasis has been on using facial expression recognition (FER) to extract emotion from facial expressions. Many popular appearance-based methods such as local bin...

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Bibliographic Details
Main Authors: Ross P. Holder, Jules R. Tapamo
Format: Article
Language:English
Published: SpringerOpen 2017-06-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Facial expression recognition
Gradient local ternary pattern
Scharr operator
Dimensionality reduction
Principal component analysis
Facial component extraction
Online Access:http://link.springer.com/article/10.1186/s13640-017-0190-5

Internet

http://link.springer.com/article/10.1186/s13640-017-0190-5

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