电子学报2017，Vol.45Issue(1)：164-172,9.DOI:10.3969/j.issn.0372-2112.2017.01.023
基于几何和纹理特征的表情层级分类方法
A Hierarchical Classification Method of Expressions Based on Geometric and Texture Features
胡敏 1江河 2王晓华 1许良凤 2黄晓音 1程轶红2
作者信息
- 1. 合肥工业大学计算机与信息学院,安徽合肥230009
- 2. 情感计算与先进智能机器安徽省重点实验室,安徽合肥230009
- 折叠
摘要
Abstract
In order to strengthen the robustness of the extracted features for individual differences and use the distribution characteristics of the features more effectively,this paper presents a hierarchical classification method of expression based on geometric and texture features.Firstly,a geometric feature extract method is constructed based on the similarity of neutral expression,which automatically matches with the similar neutral expression images of sample images and extract geometric features based on feature points scale factor.Then,texture features are extracted by using sufficient vector triangle pattern.Finally,the facial expression hierarchical classification framework is achieved by using the above features to judge expression categories in the three layers respectively.Experiment results in JAFFE database and CK database show that the proposed method improves the recognition rate compared with the methods based on the typically geometric and texture featares.关键词
表情识别/几何和纹理特征/中性脸相似度/层级分类Key words
expression recognition/geometric and texture features/similarity of neutral expression/hierarchical classification分类
信息技术与安全科学引用本文复制引用
胡敏,江河,王晓华,许良凤,黄晓音,程轶红..基于几何和纹理特征的表情层级分类方法[J].电子学报,2017,45(1):164-172,9.
