基于DT-CWT和PCA的唇部特征提取方法  

Lip Feature Extraction Based on DT-CWT and PCA

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,广东广州510640

出　　处：《电视技术》2011年第3期93-96,共4页Video Engineering

基　　金：国家自然科学基金项目(U0735004)

摘　　要：针对单视觉唇读系统中唇部特征的提取问题,提出了基于双树复小波和PCA的唇部特征提取方法。利用双树复小波变换的近似平移不变性,通过将变换后的系数幅值重新排列,克服了感兴趣区域中唇部偏移的影响。与DCT相比,双树复小波变换既可反映输入信号的频域特性,又能反映其空间域特性,具有近似平移不变性,这些特性使得DT-CWT+PCA的方法优于DCT+PCA的特征提取方法。实验结果表明,该方法在识别率方面有较大的提高。For the lip feature extraction of visual only lip reading system, a method is proposed based on dual tree complex wavelet transform to extract the visual feature of lip. Using the approximate shift invariance of DT-CWT, by rearrange the coeffients to overcoming the influence of the lip shift in the region of interest. Compared with DCT, DT-CWT can reflect the characters of the signal both in space domain and frequeney domain, and it has the characters like approximate shift invarianee and good directional selectivity. All these make DT-CWT＋PCA performance better than the method based on DCT＋PCA, the experimental results show that the recognition accuracy improved greatly.

关 键 词：唇部特征提取 双树复数小波变换 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]