A Novel Convolutional Neural Network for Facial Expression Recognition
Li J(李菁)4; Yu, Jiahui3; Ju ZJ(琚兆杰)1,2; Mi, Yang4
2018
会议日期November 29 - December 1, 2018
会议地点Beijing, China
关键词Facial expression recognition Deep learning LBP Inception-ResNet layers
页码310-320
英文摘要Facial expression recognition is becoming a hot topic due to its wide applications in computer vision research fields. Traditional methods adopt hand-crafted features combined with classifiers to achieve the recognition goal. However, the accuracy of these methods often relies heavily on the extracted features and the classifier's parameters, and thus cannot get good result with unseen data. Recently, deep learning, which simulates the mechanism of human brain to interpret data, has shown remarkable results in visual object recognition. In this paper, we present a novel convolutional neural network which consists of local binary patterns and improved Inception-ResNet layers for automatic facial expression recognition. We apply the proposed method to three expression datasets, i.e., the Extended Cohn-kanade Dataset (CK+), the Japanese Female Expression Database (JAFFE), and the FER2013 Dataset. The experimental results demonstrate the feasibility and effectiveness of our proposed network.
产权排序4
会议录Cognitive Systems and Signal Processing - 4th International Conference, ICCSIP 2018, Revised Selected Papers
会议录出版者Springer Verlag
会议录出版地Berlin
语种英语
ISSN号1865-0929
ISBN号978-981-13-7985-7
WOS记录号WOS:000490906400028
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/24680]  
专题沈阳自动化研究所_空间自动化技术研究室
通讯作者Ju ZJ(琚兆杰)
作者单位1.The State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.School of Computing, University of Portsmouth, Portsmouth, PO1 3HE, United Kingdom
3.School of Information Science and Engineering, Shenyang Ligong University, Shenyang 110159, China
4.School of Information Engineering, Nanchang University, Nanchang 330031, China
推荐引用方式
GB/T 7714
Li J,Yu, Jiahui,Ju ZJ,et al. A Novel Convolutional Neural Network for Facial Expression Recognition[C]. 见:. Beijing, China. November 29 - December 1, 2018.
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