计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2009年
31期
5-8
,共4页
人脸识别%非负矩阵分解%线性判别分析
人臉識彆%非負矩陣分解%線性判彆分析
인검식별%비부구진분해%선성판별분석
face recognition%non-negative matrix factorization%linear discriminant analysis
为了提高彩色人脸识别的性能,提出了一种非负矩阵分解与线性判别分析相结合的彩色人脸识别算法.首先采用非负矩阵分解算法对彩色人脸图像不同颜色通道的信息进行编码,计算彩色人脸图像空间的基图像;然后根据非负矩阵分解计算得到的图像分解系数,融入人脸对象的类别信息,采用线性判别分析算法计算最优的鉴别子空间;最后以彩色人脸图像的投影系数为特征,采用最近邻分类算法进行人脸识别.在CVL和CMU PIE人脸数据库上的实验结果验证了提出的彩色人脸识别算法的正确性和有效性.
為瞭提高綵色人臉識彆的性能,提齣瞭一種非負矩陣分解與線性判彆分析相結閤的綵色人臉識彆算法.首先採用非負矩陣分解算法對綵色人臉圖像不同顏色通道的信息進行編碼,計算綵色人臉圖像空間的基圖像;然後根據非負矩陣分解計算得到的圖像分解繫數,融入人臉對象的類彆信息,採用線性判彆分析算法計算最優的鑒彆子空間;最後以綵色人臉圖像的投影繫數為特徵,採用最近鄰分類算法進行人臉識彆.在CVL和CMU PIE人臉數據庫上的實驗結果驗證瞭提齣的綵色人臉識彆算法的正確性和有效性.
위료제고채색인검식별적성능,제출료일충비부구진분해여선성판별분석상결합적채색인검식별산법.수선채용비부구진분해산법대채색인검도상불동안색통도적신식진행편마,계산채색인검도상공간적기도상;연후근거비부구진분해계산득도적도상분해계수,융입인검대상적유별신식,채용선성판별분석산법계산최우적감별자공간;최후이채색인검도상적투영계수위특정,채용최근린분류산법진행인검식별.재CVL화CMU PIE인검수거고상적실험결과험증료제출적채색인검식별산법적정학성화유효성.
In order to improve the accuracy of color face recognition approach,non-negative matrix factorization is combined with linear discriminant analysis algorithm in this paper.Non-negative matrix factorization algorithm is employed to encode the color information of different channels of color face image.And base images are computed by the NMF algorithm.Linear discriminant analysis algorithm is exploited to compute the optimal discriminant subspace based on the factorization coefficients of face im-ages.Nearest neighborhood classifier is adopted to identify the color face samples based on the projective coefficients on the sub-space.Experimental results on CVL and CMU PIE color face databases verify the effectiveness of the proposed algorithm.
