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Fast facial smile detection using convolutional neural network in an intelligent working environment

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成果类型:
期刊论文
作者:
Wu, Huiting*;Liu, Yanshen;Liu, Yi;Liu, Sannvya(刘三女牙
通讯作者:
Wu, Huiting
作者机构:
[Liu, Sannvya; Liu, Yanshen; Wu, Huiting] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.
[Liu, Yi] Cent China Normal Univ, Educ Informatizat Res Ctr Hubei, Wuhan 430079, Peoples R China.
通讯机构:
[Wu, Huiting] C
Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Convolutional neural network;Digital signal processing;Infrared imaging technology;Intelligent learning environment;Smile detection
期刊:
Infrared Physics & Technology
ISSN:
1350-4495
年:
2020
卷:
104
页码:
103061
基金类别:
The authors would also like to thank the handling editor and anonymous reviewers for their valuable suggestions. This work was supported in part by the National Key Research and Development Program of China under Grant 2017YFB1401300 and Grant 2017YFB1401303 .
机构署名:
本校为第一且通讯机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
Infrared facial expression recognition is very important to understand the human emotion and behaviors. Smile detection plays a key role in facial expression recognition. In this paper, we have developed a fast facial smile detection algorithm with convolutional neural network and infrared imaging technology. Due to random noise and band overlap in the infrared imaging spectroscopy, we propose a maximum likelihood (ML) restoration algorithm with spectral-spatial L1-norm constraint for low-resolution infrared spectrum. In this model, we also emp...

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