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Automatic edge-based localization of facial features from images with complex facial expressions

机译:从具有复杂面部表情的图像对面部特征进行基于边缘的自动定位

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摘要

Automatic localization of facial features is an essential step for many systems of face recognition, facial expression classification and intelligent vision-based human-computer interfaces. In this paper, we present automatic edge-based method of locating regions of prominent facial features from up-right facial images. The proposed localization scheme was tested on several public databases of complex facial expressions. The method demonstrated high localization rates when localization accuracy was evaluated by both a conventional point error measure and a new rectangular error measure that takes into account the location of the feature in the image and the true feature size.
机译:面部特征的自动定位是许多面部识别,面部表情分类和基于智能视觉的人机界面系统的重要步骤。在本文中,我们提出了一种基于自动边缘的方法,可以从直立的面部图像中定位出突出的面部特征区域。拟议的本地化方案已在多个复杂面部表情的公共数据库上进行了测试。当通过常规点误差度量和新的矩形误差度量(均考虑了图像中特征的位置和真实特征尺寸)评估定位精度时,该方法证明了较高的定位率。

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