NDLI: Facial Expression Recognition Using Deep Boltzmann Machine from Thermal Infrared Images

Content Provider	IEEE Xplore Digital Library
Author	Shan He Shangfei Wang Wuwei Lan Huan Fu Qiang Ji
Copyright Year	2013
Description	Author affiliation: Sch. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China (Shan He; Shangfei Wang; Wuwei Lan; Huan Fu) \|\| Dept. of ECSE, Rensselaer Polytech. Inst., Troy, NY, USA (Qiang Ji)
Abstract	Facial expression recognition from thermal infrared images has attracted more and more attentions in recent years. However, the features adopted in current work are either temperature statistical parameters extracted from the facial regions of interest or several hand-crafted features that are commonly used in visible spectrum. Till now there is no image features specially defined for thermal infrared images. In this paper, we are the first to propose using the Deep Boltzmann Machine to learn thermal features for expression recognition from thermal long wavelength infrared images. First, the face are located and normalized from the thermal infrared images. Then, a Deep Boltzmann Machine model composed of two layers is proposed. The parameters of the Deep Boltzmann Machine model are further fine-tuned for facial expression recognition after pre-training of feature learning. Comparison experimental results on the NVIE database demonstrate that our approach outperforms other approaches using temperature statistic features or hand-crafted features borrowed from visible domain. The learned features from the forehead, mouth, and cheek are more reliable for discriminating disgust, fear, and happiness compared with other facial areas.
Starting Page	239
Ending Page	244
File Size	552181
Page Count	6
File Format	PDF
ISBN	9780769550480
ISSN	21568111
DOI	10.1109/ACII.2013.46
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-02
Publisher Place	Switzerland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Temperature distribution Facial expression recognition Image recognition Databases Face recognition Thermal infrared images Feature extraction Face Deep boltzmann machines
Content Type	Text
Resource Type	Article

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