计算机与现代化Issue(7)：89-93,5.DOI:10.3969/j.issn.1006-2475.2014.07.020
基于双线性模型的人脸表情识别技术
Facial Expression Recognition Techniques Based on Bilinear Model
摘要
Abstract
Aiming at the problems existing in facial expression recognition currently , based on the data in the 3D expression data-base BU-3DFE, we study the point cloud alignment of 3D facial expression data , establish the bilinear models based on the align-ment data , and improve the recognition algorithms based on bilinear model in order to form the new recognition and classification algorithms, to reduce the quantity of identity feature calculation in original algorithm , to minimize the influence of identity feature on the total expression recognition process , to improve the results of facial expression recognition , and to ultimately achieve the high robustness of 3D facial expression recognition .关键词
面部表情识别/特征提取/双线性模型/TPS对齐Key words
facial expression recognition/feature extraction/bilinear model/TPS alignment分类
信息技术与安全科学引用本文复制引用
徐欢..基于双线性模型的人脸表情识别技术[J].计算机与现代化,2014,(7):89-93,5.
