机械制造与自动化Issue(4)：126-131,6.
融合特征的神经网络在三维人脸识别中的应用
Using Fuzzy ARTMAP with Multi-Features in 3D Face Recognition
摘要
Abstract
This paper presents a new representation of 3D face recognition features, includeing the 3D face curve features and 2D Gabor wavelet features. Based on the new multi-features, Fuzzy ARTMAP is used to train the network with supervised learning, and create a 3D face recognition classifier to distinguish human faces. The algorithm can be used to keep a high recognition rate with the incremental number of models. The experiment test on FRGC v2.0 database shows that the performance of multi-features fusion is perfect on robustness in changing expressions, and Fuzzy ARTMAP is used to keep a high recognition rate in the increasing number of human faces.关键词
三维人脸识别/模糊神经网络/多特征融合/Gabor小波特征/三维曲线特征Key words
3D face recognition/Fuzzy ARTMAP/multi-features fusion/gabor wavelet/three-dimensional curve分类
信息技术与安全科学引用本文复制引用
王斯藤,唐旭晟,陈丹..融合特征的神经网络在三维人脸识别中的应用[J].机械制造与自动化,2015,(4):126-131,6.基金项目
福建省自然科学基金资助(2013J01226) （2013J01226）
