Statistical and neural methods for vision-based analysis of facial expressions and gender

被引：0
|
作者：
Wilhelm, T [1 ]
Böhme, HJ [1 ]
Backhaus, A [1 ]
机构：
[1] Tech Univ Ilmenau, Dept Neuroinformat, D-98684 Ilmenau, Germany
来源：
2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7 | 2004年
关键词：
image processing; human-robot interaction; automatic facial expression;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
It is a prerequisite for the successful application of service robots in human dominated domains to have intuitive and natural man-machine-interfaces. In this context, it is desirable to extract information, such as the gender, age, or emotional state (via facial expressions) about the user to aid in communication. We developed a method to estimate the facial expression and the gender of a person based on statistical data anylysis and neural classifiers.
引用
收藏
页码：2203 / 2208
页数：6
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