基于微分算子的三维人脸表情识别

计算机科学 ›› 2014, Vol. 41 ›› Issue (Z11): 128-132.

基于微分算子的三维人脸表情识别

盖赟

中国青年政治学院计算机教学与应用中心北京100089 北京工业大学城市交通学院北京100124

出版日期:2018-11-14 发布日期:2018-11-14
基金资助:
本文受中国青年政治学院青年教师基金(182060326)资助

3D Face Expression Recognition Based on Differential Operator

GE Yun

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： 基于拉普拉斯微分算子提出了一种用于三维人脸样本的表情识别方法。首先使用曲面变形的方法对三维人脸样本进行样本配准处理。然后基于拉普拉斯微分算子计算三维人脸的表情特征,并根据训练样本的特征向量集构建一个关于三维人脸表情的字典。最后使用稀疏表示方法对三维人脸表情进行识别分析。实验结果表明,该方法能够有效地提高三维人脸表情识别的准确率。

关键词: 三维人脸,表情识别,特征提取,微分算子,稀疏表示

Abstract: Based on Laplace differential operator,a 3D facial expression recognition method was proposed.First the raw samples are registered by using the method of surface deformation.Then the expression feature are calculated by diffe -rential operator and a dictionary about face expression is established based on feature vectors derived from training samples.At last sparse representation method is used to perform recognition work.The experimental results show that the proposed method can effectively improve the accuracy of 3D facial expression recognition.

Key words: 3D Face,Expression recognition,Feature extraction,Differential operator,Sparse representation

盖赟. 基于微分算子的三维人脸表情识别[J]. 计算机科学, 2014, 41(Z11): 128-132. https://doi.org/

GE Yun. 3D Face Expression Recognition Based on Differential Operator[J]. Computer Science, 2014, 41(Z11): 128-132. https://doi.org/

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