液晶与显示2016，Vol.31Issue(12)：1156-1160,5.DOI:10.3788/YJYXS20163112.1156
基于 SIFT 算法的多表情人脸识别
Recognition of expression-variant faces based on SIFT method
摘要
Abstract
Prior research has shown that the performance of face recognition systems in variant expres-sion condition degrades seriously compared with invariant expression condition.Face recognition with variant expression is a challenging problem.In this paper,SIFT method is proposed to research on face recognition with variant expression.Two experiments using SIFT method are performed on a va-riant expression face database.In experiment 1,two images of one person with different expression are compared.In experiment 2,two images of different persons with the same expression are com-pared.Experimental results show that SIFT method could overcome the whole comparability of different faces and extract the local detail features of face.Recognizing the variant expression face ima-ges in Jaffe library,we get the right recognition rate of 95.59% when threshold equals 0.35,the ex-periment demonstrates the huge potential of SIFT method in application to face recognition with vari-ant expression.关键词
人脸识别/多表情/SIFT 算子/局部细节特征Key words
face recognition/expression variant/SIFT method/local detail feature分类
信息技术与安全科学引用本文复制引用
刘洋,韩广良,史春蕾..基于 SIFT 算法的多表情人脸识别[J].液晶与显示,2016,31(12):1156-1160,5.基金项目
吉林省教育厅“十二五”科学技术研究项目(No．2015359) （No．2015359）
长春师范大学实验教学改革研究项目Supported by “Twelfth Five-Year”Science and Technology Research Project of the Education Department of Jilin Province (No．2015359) （No．2015359）
Experiment teaching reformation research project of Changchun Normal University （）
