Detection and expression classification systems for face images (FADECS)

I. Stathopoulou, G. Tsihrintzis
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引用次数: 21

Abstract

Towards building new, friendlier human-computer interaction systems and multimedia interactive services systems, we developed a neural network-based image processing system (called FADECS), which first determines automatically whether or not there are any faces in given images and, if so, returns the location and extent of each face. Next, FADECS uses neural network-based classifiers which allow the classification of several facial expressions from features that we develop and describe.
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人脸图像检测与表情分类系统(fades)
为了建立新的、更友好的人机交互系统和多媒体交互服务系统,我们开发了一种基于神经网络的图像处理系统(称为FADECS),该系统首先自动确定给定图像中是否有人脸,如果有,则返回每个人脸的位置和范围。接下来,FADECS使用基于神经网络的分类器,允许从我们开发和描述的特征中对几种面部表情进行分类。
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