西安电子科技大学学报（自然科学版）2018，Vol.45Issue(1)：150-155,6.DOI:10.3969/j.issn.1001-2400.2018.01.027
一种识别表情序列的卷积神经网络
Multiple convolutional neural networks for facial expression sequence recognition
摘要
Abstract
As an important part of the human-computer interaction system,facial expression recognition has been a hot research field. The convolutional neural network cannot recognize expression sequence although it can train the classification features automatically for the reason that the direction of feature training need to be specified manually.In order to solve this problem, this paper improves the network structure, and proposes a multi convolutional network fusion method that can be used to identify the expression sequences containing multiple frames. First, we construct a number of convolutional neural networks,so that each network processes one frame,and then merge the results in the merge layer,and finally pass the softmax classifier to give the identity result. On the CK + facial expression database, experiments are carried out on the 3rd,4th and 5th frames of expression sequences,and a high recognition rate is obtained for all experiments.关键词
人脸表情识别/卷积神经网络/深度学习/多网络融合Key words
facial expression recognition/convolutional neural network/deep learning/multi network convergence分类
信息技术与安全科学引用本文复制引用
张金刚,方圆,袁豪,王书振..一种识别表情序列的卷积神经网络[J].西安电子科技大学学报（自然科学版）,2018,45(1):150-155,6.基金项目
国家自然科学基金资助项目(61640422,61775219,61771369,61540028) （61640422,61775219,61771369,61540028）
中央高校基本科研业务费专项资金资助项目(NSIY221418) （NSIY221418）
