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

页码：2203 / 2208

页数：6

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