The National Natural Science Foundation of China(60875046);The Program for NewCentury Excellent Talents in University(NCET-06-0298);The Program for Liaoning Excellent Talents in University(RC05-07,2006R06);The Programfor study of Science of the Educational Department of Liaoning Province(05L020);The Program for study of Science of the Educational Department of Liaoning Province(2008S007);The Program for Dalian Science and Technology(2005A10GX106);The open fund of Liaoning Key Lab of Intelligent Information Processing,Dalian University(2007-3,2007-9)
教育部新世纪优秀人才支持计划(the Program for New Century Excellent Talents in University No.NCET-06-0298);辽宁省高等学校优秀人才支持计划(the Program for Liaoning Excellent Talents in University No.RC-05-07,No.2006R06);辽宁省教育厅科学研究计划(the Program for Study of Science of the Educational Department of Liaoning Province No.05L020);大连市科学技术计划(the Programfor Dalian Science and Technology No.2005A10GX106);大连大学辽宁省智能信息处理重点实验室开放课题(the Open Fund of LiaoningKey Lab of Intelligent Information Processing,Dalian University No.2005-9)
为了获得具有较高识别率的算法,提出了一种将Fisher线性鉴别分析(Fisher Linear Discriminant Analysis)、复主分量分析(Principal Analysis in the Complex Space)与隐马尔可夫模型(Hidden Markov Models)相结合进行人脸识别的方法。...