摘要
针对LLE算法无法对后续采集的测试样本单独进行降维处理和未能利用样本点分类信息的两点不足之处,提出了一种有监督的增量式局部线性嵌入算法(SILLE),并采取小波变换对图像进行预处理。通过对ORL数据库实验证明,SILLE算法与LLE算法相比大大降低了处理新增样本点的计算时间,并且提高了识别精度。
In view of the disadvantages that LLE algorithm is unable to follow-up the test samples which are collected sepa-rately and to use dimensionality reduction,LLE algorithm does not make use of the classification of information sample point as well,a method is proposed to recognize the face using Supervised Incremental Locally Linear Embedding algorithm（SILLE）,and combined with wavelet transformation to pretreat the images.Experimental results based on ORL database show that SILLE algorithm compared with LLE algorithm greatly reduces calculating time spent in handling additional sam-ples and improves recognition accuracy.
出处
《计算机工程与应用》
CSCD
北大核心
2011年第24期171-173,共3页
Computer Engineering and Applications
基金
宁夏大学自然科学基金项目(No.NDZR10-21)
关键词
人脸识别
小波变换
局部线性嵌入
face recognition
wavelet transform
locally linear embedding
