Efficient and Fast Expression Recognition with Deep Learning CNN-ELM

Yiping Zou, Xuemei Ren*

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Facial expression recognition is a significant direction in facial computer version. Although convolutional neural networks (CNNs) have received great attention in recognition task especially for images, they require considerable time in computation and are easily to be trapped in over-fitting due to kinds of reasons. This paper suggests a fast and efficient network for expression recognition, which takes full advantages of CNN and ELM (Extreme Learning Machine). Facial expressions can be learned well and calculated fast with satisfying accuracy through it. Experimental results on real-life expression database prove that our proposed approach can effectively reduce the calculation time and improve the performance.

源语言英语
主期刊名Proceedings of 2019 Chinese Intelligent Systems Conference - Volume I
编辑Yingmin Jia, Junping Du, Weicun Zhang
出版商Springer Verlag
340-348
页数9
ISBN(印刷版)9789813296817
DOI
出版状态已出版 - 2020
活动Chinese Intelligent Systems Conference, CISC 2019 - Haikou, 中国
期限: 26 10月 201927 10月 2019

出版系列

姓名Lecture Notes in Electrical Engineering
592
ISSN(印刷版)1876-1100
ISSN(电子版)1876-1119

会议

会议Chinese Intelligent Systems Conference, CISC 2019
国家/地区中国
Haikou
时期26/10/1927/10/19

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引用此

Zou, Y., & Ren, X. (2020). Efficient and Fast Expression Recognition with Deep Learning CNN-ELM. 在 Y. Jia, J. Du, & W. Zhang (编辑), Proceedings of 2019 Chinese Intelligent Systems Conference - Volume I (页码 340-348). (Lecture Notes in Electrical Engineering; 卷 592). Springer Verlag. https://doi.org/10.1007/978-981-32-9682-4_35