针对嘴型变化的人脸识别

Mustafa M. Alrjebi, Wanquan Liu, Ling Li
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摘要

本文研究了基于嘴型变化的人脸识别问题。为了检测可能的口腔变化,首先使用标记检测器检测口腔内标记,然后使用标记检测器估计面部图像的上唇和下唇之间的连通性。计算上唇和下唇中间内点之间的垂直距离,然后用适当的阈值来判断两唇是连接还是分离。如果两个嘴唇不相连,我们进一步根据颜色像素值检测牙齿位置,然后将人脸分为四类:闭嘴(C),闭嘴带牙齿(Ct),张嘴(O)和张嘴带牙齿(Ot)。接下来,我们尝试将Ct类和Ot类的人脸图像分别转换为C类和O类,这是通过一种拟议的对齐方法来缩小嘴巴的上半部和下半部分的区域来完成的。在这个闭口过程中,位于嘴巴上方和下方的面部区域都发生了巨大的变化,整个面部图像被垂直拉伸到原来的大小,从而使面部图像变成中性的外观。在AR数据库和BU数据库上进行的大量实验表明,所提出的张嘴闭合形状校正方法可以显著提高PCA和LDA的识别率,分别达到21.5%和17.5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Face Recognition against Mouth Shape Variations
In this paper, face recognition against mouth shape variations is investigated. In order to detect possible mouth variations, the inner mouth landmarks are first detected by a landmark detector and then used to estimate the connectivity between the upper lip and the lower lip of a face image. The vertical distance between the middle inner points of upper lip and the lower lip is calculated, and then used with appropriate threshold to decide whether the two lips are connected or separated. If the two lips are not connected, we further detect the teeth positions based on the colour pixel values, and then a face can be classified into four classes: closed mouth (C), closed mouth with teeth (Ct), open mouth (O), and open mouth with teeth (Ot). Next we attempt to transform face images in classes Ct and Ot into classes C and O respectively, and this is done by shrinking the areas with the upper and lower parts of the mouth by a proposed alignment approach. In this mouth closing process, both face areas located above and below the mouth are changed dramatically and the whole face image is vertically stretched to the original size in order to change the face image into neutral appearance. Extensive experiments on AR database and BU database show that the proposed shape correction approach to closing an opened mouth can significantly increase the recognition rate up to 21.5% by using PCA and 17.5% by using LDA.
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