JavaShuo
栏目
标签
Facial Expression Recognition Using KCCA
时间 2019-12-11
标签
facial
expression
recognition
using
kcca
繁體版
原文
原文链接
Zheng, W., et al. (2006).Neural Networks, IEEE Transactions on 17(1): 233-238.web 在每一个面部图像标记34个特征点,利用Gabor变换提取特征,造成一个labeled graph(LG) vector,表明了面部图像的特征。对于每一个训练的面部图像,the semantic ratings describing th
>>阅读原文<<
相关文章
1.
Deep Covariance Descriptors for Facial Expression Recognition
2.
Deep Facial Expression Recognition: A Survey
3.
Facial Expression Recognition by De-expression Residue Learning
4.
Deep Facial Expression Recognition: A Survey 笔记
5.
2018CVPR:Joint Pose and Expression Modeling for Facial Expression Recognition阅读笔记
6.
Facial Expression Recognition by De-expression Residue Learning阅读笔记
7.
Facial Expression Recognition by De-expression Residue Learning-论文笔记
8.
Joint Pose and Expression Modeling for Facial Expression Recognition 论文翻译
9.
FERAtt: Facial Expression Recognition with Attention Net阅读笔记
10.
Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition文章解读
更多相关文章...
•
C# 正则表达式
-
C#教程
•
XSLT
元素
-
XSLT 教程
•
RxJava操作符(六)Utility
•
C# 中 foreach 遍历的用法
相关标签/搜索
recognition
kcca
expression
facial
using
using&n
platform..using
0
分享到微博
分享到微信
分享到QQ
每日一句
每一个你不满意的现在,都有一个你没有努力的曾经。
最新文章
1.
.Net core webapi2.1生成exe可执行文件
2.
查看dll信息工具-oleview
3.
c++初学者
4.
VM下载及安装
5.
win10下如何安装.NetFrame框架
6.
WIN10 安装
7.
JAVA的环境配置
8.
idea全局配置maven
9.
vue项目启动
10.
SVN使用-Can't remove directoryXXXX,目录不是空的,项目报错,有红叉
本站公众号
欢迎关注本站公众号,获取更多信息
相关文章
1.
Deep Covariance Descriptors for Facial Expression Recognition
2.
Deep Facial Expression Recognition: A Survey
3.
Facial Expression Recognition by De-expression Residue Learning
4.
Deep Facial Expression Recognition: A Survey 笔记
5.
2018CVPR:Joint Pose and Expression Modeling for Facial Expression Recognition阅读笔记
6.
Facial Expression Recognition by De-expression Residue Learning阅读笔记
7.
Facial Expression Recognition by De-expression Residue Learning-论文笔记
8.
Joint Pose and Expression Modeling for Facial Expression Recognition 论文翻译
9.
FERAtt: Facial Expression Recognition with Attention Net阅读笔记
10.
Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition文章解读
>>更多相关文章<<