计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (24): 171-173.
• 图形、图像、模式识别 • 上一篇 下一篇
刘 倩1，潘 晨2
收稿日期:
修回日期:
出版日期:
发布日期:
LIU Qian1，PAN Chen2
Received:
Revised:
Online:
Published:
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。
关键词: 人脸识别, 小波变换, 局部线性嵌入
Abstract: In view of the disadvantages that LLE algorithm is unable to follow-up the test samples which are collected separately 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 samples and improves recognition accuracy.
Key words: face recognition, wavelet transform, locally linear embedding
刘 倩1，潘 晨2. 新的局部线性嵌入下的人脸识别方法[J]. 计算机工程与应用, 2011, 47(24): 171-173.
LIU Qian1，PAN Chen2. New locally linear embedding of face recognition algorithm[J]. Computer Engineering and Applications, 2011, 47(24): 171-173.
0 / 推荐
导出引用管理器 EndNote|Ris|BibTeX
链接本文: http://cea.ceaj.org/CN/
http://cea.ceaj.org/CN/Y2011/V47/I24/171
