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A study on the description model of facial expression and its application to model based coding

面部表情描述模型及其在模型编码中的应用研究

基本信息

批准号：
05452206
负责人：
MINAMI Toshi
金额：
$ 4.22万
依托单位：
KOGAKUIN UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (B)
财政年份：
1993
资助国家：
日本
起止时间：
1993 至 1994
项目状态：
已结题

项目摘要

Methods of desciption and classification of facial expression based on isodensity maps are investigated. Until now, almost all methods of recognition of facial expression have depended on the shapes and edges on facial elements (position of eyebrows, eyes, nose, mouth, etc.). However it is very difficult to extract such feature points and to describe the change of density variations such as wrinkles by using feature points. In contrast to these methods, this study adopts and defines isodensity maps that can represent density variation of facial images.In this method, isodensity map is described as a tree structure. As isodensity map changes appear as changes in the tree structure, facial expression changes can be detected by analyzing the changes in the tree structure for example, by Brother Splitting, Brother Merging, Father-Son Splitting, or Father-Son Merging.The processes in this method are as follows :1) Extraction of an isodensity map from a facial image2) Representaion of the tree structure from an isodensity map3) Detection of facial expression shanges based on the changes in the tree structureA description and comparison method for extracting structure changes of tree is investigated and its efficacy is demonstrated experimentally. From experimental results, it is clear that the characteristic changes of facial expression can be extracted. These changes have been found in smiling and angry faces, because of large change in the density variation such as wrinkles. It is, however, difficult to find the characteristic change about surprise and sad faces which have little influence on wrinkles. As the tree matching proposed in this study is a method based on the position of isodensity line, it is difficult to find corresponding method between nodes representing small isodensity lines.At the next stage, tree matching algorithm which can detect small change of facial expression must be developed.

研究了基于等密度图的人脸表情描述和分类方法。到目前为止，几乎所有的面部表情识别方法都依赖于面部元素的形状和边缘（眉毛，眼睛，鼻子，嘴巴等的位置）。然而，这是非常困难的提取这样的特征点，并通过使用特征点来描述密度变化，如皱纹的变化。与这些方法不同，本研究采用并定义了一种能够表征人脸图像密度变化的等密度图，将等密度图描述为一种树结构。由于等密度图的变化表现为树结构的变化，因此可以通过分析树结构的变化来检测面部表情变化，例如通过兄弟分裂、兄弟合并、父子分裂或父子合并。该方法的过程如下：1）从面部图像提取等密度图2）从等密度图表示树结构3）基于树结构变化的人脸表情变化检测研究了一种提取树结构变化的描述和比较方法，并对该方法的有效性进行了验证。实验证明。从实验结果来看，很明显，面部表情的特征变化是可以提取的。这些变化已经在微笑和生气的脸上发现，因为密度变化的变化很大，如皱纹。然而，很难发现对皱纹影响不大的惊讶和悲伤面孔的特征变化。由于本文提出的树匹配是基于等密度线位置的匹配方法，很难找到代表细小等密度线的节点之间的对应方法，因此下一步必须开发能够检测面部表情微小变化的树匹配算法。