计算机应用研究2017，Vol.34Issue(9)：2858-2862,5.DOI:10.3969/j.issn.1001-3695.2017.09.065
人脸样貌独立判别的协作表情识别算法
Collaborative facial expression recognition algorithm based on facial appearance independently discrimination
摘要
Abstract
In order to reduce the effect of appearance,pose,glasses and non-uniform expression definition to facial expression recognition,this paper proposed a collaborative facial expression recognition algorithm based on facial appearance independently discrimination.Firstly,it selected an automatic facial landmark detection algorithm to localize and align the face region of each frame,and the peak expression faces from the video face sequence.Then,it generated an intra class variation face using the peak expression face and training expression faces of an expression class,and realized the expression representation by computing the difference information between intra class variation face and peak expression face.Lastly,it adopted sparsity based classification and expression representation to decide the labels of each face expression.Simulation experimental results based on European and American faces and Asian faces show that the proposed algorithm performs better expression recognition accuracy,at the same time it shows good recognition performance to faces of different appearances and faces wearing glasses.关键词
表情识别/稀疏表示/Gabor滤波器/峰值表情/面部标志物Key words
expression recognition/sparsity representation/Gabor filter/peak expression/facial landmark分类
信息技术与安全科学引用本文复制引用
黄超,高理平..人脸样貌独立判别的协作表情识别算法[J].计算机应用研究,2017,34(9):2858-2862,5.基金项目
山东省高校科研计划研究项目(J15LN81,J13LN56) （J15LN81,J13LN56）
枣庄学院大学生研究训练计划项目(2015061) （2015061）
山东省教育厅项目(J13LN56) （J13LN56）
