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Proceedings Paper

Estimation of human emotions using thermal facial information
Author(s): Hung Nguyen; Kazunori Kotani; Fan Chen; Bac Le
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Paper Abstract

In recent years, research on human emotion estimation using thermal infrared (IR) imagery has appealed to many researchers due to its invariance to visible illumination changes. Although infrared imagery is superior to visible imagery in its invariance to illumination changes and appearance differences, it has difficulties in handling transparent glasses in the thermal infrared spectrum. As a result, when using infrared imagery for the analysis of human facial information, the regions of eyeglasses are dark and eyes’ thermal information is not given. We propose a temperature space method to correct eyeglasses’ effect using the thermal facial information in the neighboring facial regions, and then use Principal Component Analysis (PCA), Eigen-space Method based on class-features (EMC), and PCA-EMC method to classify human emotions from the corrected thermal images. We collected the Kotani Thermal Facial Emotion (KTFE) database and performed the experiments, which show the improved accuracy rate in estimating human emotions.

Paper Details

Date Published: 10 January 2014
PDF: 5 pages
Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 90690O (10 January 2014); doi: 10.1117/12.2050206
Show Author Affiliations
Hung Nguyen, Japan Advanced Institute of Science and Technology (Japan)
Kazunori Kotani, Japan Advanced Institute of Science and Technology (Japan)
Fan Chen, Japan Advanced Institute of Science and Technology (Japan)
Bac Le, Univ. of Science (Viet Nam)


Published in SPIE Proceedings Vol. 9069:
Fifth International Conference on Graphic and Image Processing (ICGIP 2013)
Yulin Wang; Xudong Jiang; Ming Yang; David Zhang; Xie Yi, Editor(s)

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