基于DCT和ONPP的唇部特征提取  

Lip Feature Extraction Based on DCT and ONPP

作　　者：梁亚玲[1] 杜明辉[1] 

机构地区：[1]华南理工大学电子与信息学院,广州510640

出　　处：《计算机科学》2011年第5期261-264,共4页Computer Science

基　　金：国家自然科学基金(U0735004)资助

摘　　要：针对单视觉通道唇读系统中唇部特征的提取问题提出了基于DCT+ONPP的特征提取方法。相对于保持全局结构特性的PCA方法,ONPP是一种既保持局部邻域几何特性又兼顾全局的线性降维技术。实验证明提出的方法优于DCT+PCA的特征提取方法。另外还对邻域点个数对系统性能的影响做了相应的研究,发现邻域点为3时该方法具有较好的识别效果。For the visual feature extraction of visual only lipreading system,this paper proposed an DCT＋ONPP method to extract the visual feature of lip,compared with PCA which preserving the global structure,ONPP is a method preserving the intrinsic geometry of the local neighborhoods,in the same time,the overlap of the neighborhoods can keep the global structure of the data.The experimental results show that the proposed method is better performance than PCA and DCT＋PCA methods.About the influence of the neighbor numbers on the system,some research has been done on it,the experimental results show that 3 neighbors can get better performance.

关 键 词：唇部特征提取 正交邻域保持方法 唇读 主成分分析 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]