计算机工程与应用2019，Vol.55Issue(13)：140-144,200,6.DOI:10.3778/j.issn.1002-8331.1803-0398
堆栈式混合自编码器的人脸表情识别方法
Stacked Hybrid Auto-Encoder Facial Expression Recognition Method
ZHANG Zhiyu 1WANG Ruiqiong 1WEI Minmin 1ZHOU Jie2
作者信息
- 1. College of Automation, Xi’an University of Technology, Xi’an 710048, China 2.College of Mechanical and Electrical Engineering, Xi’an University of Electronic Science and Technology, Xi’an 710071, china
- 2. College of Mechanical and Electrical Engineering, Xi’an University of Electronic Science and Technology, Xi’an 710071, china
- 折叠
摘要
Abstract
To further improve the recognition rate of facial expressions, a face recognition method based on deep learning and Stacked Hybrid Auto-Encoder(SHAE)is adopted. The structure of the method is a 5-layer network structure composed of a Denoising Auto-Encoder(DAE), a Sparse Auto-Encoder(SAE), and an Auto-Encoder(AE). In order to increase the robustness and generalization ability of the network, a DAE is used to extract features from the samples. In order to reduce the dimensions of the extracted features and to extract further abstract sparse features, a SAE is used for cascading, and further processing of features. The training process begins with pre-training and overall fine-tuning of the unlabeled data, initializing and updating the weight of the whole structure, and then testing and training with labeled data. Experi-ments on two datasets, JAFFE and CK+, show that this method has a better recognition effect than a purely stacked DAE or apurely stacked SAE.关键词
人脸表情识别/堆栈式混合自编码器(SHAE)/稀疏自编码器(SAE)/去噪自编码器(DAE)Key words
face expression recognition/ Stacked Hybrid Auto-Encoder/ Sparse Auto-Encoder/ Denoising Auto-Encoder分类
计算机与自动化引用本文复制引用
ZHANG Zhiyu,WANG Ruiqiong,WEI Minmin,ZHOU Jie..堆栈式混合自编码器的人脸表情识别方法[J].计算机工程与应用,2019,55(13):140-144,200,6.
