摘要
文中探索用人脸的几何结构图谱方法嵌入到模式空间来分析人脸表情,以图的加权邻接矩阵主要特征向量来定义矩阵的特征模。计算谱特征向量-模间邻接矩阵。用两类模式向量在范数下的多维尺度变换方法(MDS)嵌入该向量到一个模式空间,用人脸特征点来表示人脸图,并在模式空间里描述该嵌入方法下的同一人脸的不同表情。
In this paper explore how to use spectral methods of geometry structural graph for analyzing facial expression andd clustering in the pattern- space. Use the leading eigenvectors of the weighted graph adjacency matrix to define eigenmodes of the adjacency matrix. For each eigenmode,compute vectors of spectral properties. It includes the leading inter- mode adjacency matrices. Embed these vectors in a pattern - space using multidimensional scaling on the norm for pairs of patten vectors. Illustrate the utility of the embedding methods representing the arrangement of facial expression of dissimilar human face in the pattern space.
出处
《计算机技术与发展》
2006年第4期33-34,37,共3页
Computer Technology and Development
基金
国家自然科学基金资助项目(60375010)
教育部"优秀青年教师资助计划"资助项目(教人司[2003]355)
关键词
图谱
人脸识别
表情分析
多维尺度变换
graph spectra
human face recognition
analysis of facial expression
multidimensional scaling
