计算机应用与软件
計算機應用與軟件
계산궤응용여연건
COMPUTER APPLICATIONS AND SOFTWARE
2014年
12期
229-232
,共4页
Contourlet变换%NMF%支持向量机%NIR人脸识别
Contourlet變換%NMF%支持嚮量機%NIR人臉識彆
Contourlet변환%NMF%지지향량궤%NIR인검식별
Contourlet transform%NMF%Support vector machine%NIR face recognition
针对近红外人脸识别对表情和姿势变化缺乏足够鲁棒性的问题，提出一种基于Contourlet变换、非负矩阵分解NMF （ Non-negative Matrix Factorization）与支持向量机（ SVM）的近红外（ NIR）人脸识别算法。该算法首先对NIR人脸图像进行Contourlet变换，接着用NMF进行分解，取其系数矩阵的一阶统计量作为特征数据，然后利用SVM进行分类与识别。实验结果表明，该算法具有较高的识别率，而且对人脸表情和姿势变化具有较强的鲁棒性。
針對近紅外人臉識彆對錶情和姿勢變化缺乏足夠魯棒性的問題，提齣一種基于Contourlet變換、非負矩陣分解NMF （ Non-negative Matrix Factorization）與支持嚮量機（ SVM）的近紅外（ NIR）人臉識彆算法。該算法首先對NIR人臉圖像進行Contourlet變換，接著用NMF進行分解，取其繫數矩陣的一階統計量作為特徵數據，然後利用SVM進行分類與識彆。實驗結果錶明，該算法具有較高的識彆率，而且對人臉錶情和姿勢變化具有較彊的魯棒性。
침대근홍외인검식별대표정화자세변화결핍족구로봉성적문제，제출일충기우Contourlet변환、비부구진분해NMF （ Non-negative Matrix Factorization）여지지향량궤（ SVM）적근홍외（ NIR）인검식별산법。해산법수선대NIR인검도상진행Contourlet변환，접착용NMF진행분해，취기계수구진적일계통계량작위특정수거，연후이용SVM진행분류여식별。실험결과표명，해산법구유교고적식별솔，이차대인검표정화자세변화구유교강적로봉성。
In response to the problem that existing near infrared ( NIR ) face recognition methods lack insufficient robustness to the varietiesof facial expression and gesture, we describe a new NIR face recognition algorithm which is based on Contourlet transform, non-negativematrix factorisation ( NMF) and support vector machine ( SVM) .In the proposed method, Contourlet transform is applied to NIR face image, and then NMF is utilised to decompose each sub-image derived.The first-order statistics of the coefficient matrixes is taken for the features data.Then, SVM is employed in classification and recognition steps.Experimental results show that the proposed approach has higherrecognition rate, and has higher robustness to the varieties of facial expression and gesture as well.
