计算机科学 ›› 2016, Vol. 43 ›› Issue (10): 312-316.doi: 10.11896/j.issn.1002-137X.2016.10.058
梁秋霞,何光辉,陈如丽,楚建浦
LIANG Qiu-xia, HE Guang-hui, CHEN Ru-li and CHU Jian-pu
摘要： 人脸识别是生物特征识别中一个活跃的研究领域。非负张量分解作为非负矩阵分解的多线性推广,已被成功应用到人脸识别等领域。提出了基于非负张量分解的人脸识别算法。该方法无需将人脸矩阵向量化,从而保持了人脸矩阵的内部结构,即人脸图像的整体结构,使人脸特征提取更精确。 实验结果表明, 与经典的人脸识别算法如PCA和NMF相比,该算法提供了一种更好的脸部表示模式,提高了人脸识别的正确率。
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