{"title":"卷积神经网络用于面部表情识别","authors":"G. Lu, J. He, J. Yan, Haibo Li","doi":"10.14132/J.CNKI.1673-5439.2016.01.003","DOIUrl":null,"url":null,"abstract":"To avoid the complex explicit feature extraction process in traditional expression recognition, a convolutional neural network (CNN) for the facial expression recognition is proposed. Firstly, the ...","PeriodicalId":35446,"journal":{"name":"Nanjing Youdian Daxue Xuebao (Ziran Kexue Ban)/Journal of Nanjing University of Posts and Telecommunications (Natural Science)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Convolutional neural network for facial expression recognition\",\"authors\":\"G. Lu, J. He, J. Yan, Haibo Li\",\"doi\":\"10.14132/J.CNKI.1673-5439.2016.01.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To avoid the complex explicit feature extraction process in traditional expression recognition, a convolutional neural network (CNN) for the facial expression recognition is proposed. Firstly, the ...\",\"PeriodicalId\":35446,\"journal\":{\"name\":\"Nanjing Youdian Daxue Xuebao (Ziran Kexue Ban)/Journal of Nanjing University of Posts and Telecommunications (Natural Science)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nanjing Youdian Daxue Xuebao (Ziran Kexue Ban)/Journal of Nanjing University of Posts and Telecommunications (Natural Science)\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.14132/J.CNKI.1673-5439.2016.01.003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nanjing Youdian Daxue Xuebao (Ziran Kexue Ban)/Journal of Nanjing University of Posts and Telecommunications (Natural Science)","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.14132/J.CNKI.1673-5439.2016.01.003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
Convolutional neural network for facial expression recognition
To avoid the complex explicit feature extraction process in traditional expression recognition, a convolutional neural network (CNN) for the facial expression recognition is proposed. Firstly, the ...