现代电子技术
現代電子技術
현대전자기술
Modern Electronics Technique
2015年
22期
34-36,40
,共4页
改进的格拉斯曼流形%模糊人脸识别%人脸特征分布%人脸识别方法
改進的格拉斯曼流形%模糊人臉識彆%人臉特徵分佈%人臉識彆方法
개진적격랍사만류형%모호인검식별%인검특정분포%인검식별방법
improved Glassmannian%fuzzy face identification%face feature distribution%face identification method
传统算法进行模糊人脸识别的过程中,一旦人脸表情发生变化,人脸特征也将发生改变,导致人脸识别的准确性降低.为此,提出一种基于改进的格拉斯曼流形的模糊人脸识别方法.在格拉斯曼流形上构建全部模糊人脸样本图像的近邻图来估计人脸特征分布的几何结构,然后将其作为正则化项整合到模糊人脸识别的目标函数中,从而获得更精确的人脸特征投影矩阵.仿真实验结果表明,利用改进算法进行模糊人脸识别,能够提高识别的准确率和效率,效果令人满意.
傳統算法進行模糊人臉識彆的過程中,一旦人臉錶情髮生變化,人臉特徵也將髮生改變,導緻人臉識彆的準確性降低.為此,提齣一種基于改進的格拉斯曼流形的模糊人臉識彆方法.在格拉斯曼流形上構建全部模糊人臉樣本圖像的近鄰圖來估計人臉特徵分佈的幾何結構,然後將其作為正則化項整閤到模糊人臉識彆的目標函數中,從而穫得更精確的人臉特徵投影矩陣.倣真實驗結果錶明,利用改進算法進行模糊人臉識彆,能夠提高識彆的準確率和效率,效果令人滿意.
전통산법진행모호인검식별적과정중,일단인검표정발생변화,인검특정야장발생개변,도치인검식별적준학성강저.위차,제출일충기우개진적격랍사만류형적모호인검식별방법.재격랍사만류형상구건전부모호인검양본도상적근린도래고계인검특정분포적궤하결구,연후장기작위정칙화항정합도모호인검식별적목표함수중,종이획득경정학적인검특정투영구진.방진실험결과표명,이용개진산법진행모호인검식별,능구제고식별적준학솔화효솔,효과령인만의.
The accurate recognition for fuzzy face has important application value and practical significance. In the process of fuzzy face recognition,since the traditional algorithm has the shortcoming of low accuracy of face recognition,a fuzzy face image recognition algorithm based on the improved Grassmannian is proposed. The neighbor graphs of all fuzzy face sample images are constructed on Grassmannian to estimate the geometric structure of the facial features,and then it is integrated into the objective function as the regularization term to obtain the accurate projection matrix of the facial features. The simulation experiment re-sults show that the improved algorithm for fuzzy face recognition can improve the recognition accuracy and efficiency. The results are satisfactory.
