计算机科学 ›› 2019, Vol. 46 ›› Issue (10): 307-310.doi: 10.11896/jsjkx.190300061
杨柳1, 陈丽敏1, 易玉根2
YANG Liu1, CHEN Li-min1, YI Yu-gen2
摘要: 人脸识别是图像处理和模式识别中的研究热点问题之一,对此,文中提出了一种基于自适应加权子模式判别邻域投影的人脸识别方法。该方法首先将人脸图像划分成较小的人脸图像块,并将相同位置的子图像构建成子模式集;其次,为了提高低维特征的判别能力,同时考虑数据的局部结构信息和类别标签信息,对于每个子模式集,构建一个局部判别邻域图;最后,考虑不同子模式集对人脸图像识别的贡献,引入一个非负权值向量结合所有子模式集的局部散度矩阵,以找出同幅人脸图像的不同子图像之间的互补信息。实验结果表明,相比于其他方法,所提方法的性能更优。
中图分类号:
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