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Face and Facial Feature Localization

机译:面部和面部特征定位

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摘要

In this paper we present a general technique for face and facial feature localization in 2D color images with arbitrary background. In a previous work we studied an eye localization module, while here we focus on mouth localization. Given in input an image that depicts a sole person, first we exploit the color information to limit the search area to candidate mouth regions, then we determine the exact mouth position by means of a SVM trained for the purpose. This component-based approach achieves the localization of both the faces and the corresponding facial features, being robust to partial occlusions, pose, scale and illumination variations. We report the results of the separate modules of the single feature classifiers and their combination on images of several public databases.
机译:在本文中,我们提出了一种在任意背景下的2D彩色图像中进行人脸和面部特征定位的通用技术。在先前的工作中,我们研究了眼睛定位模块,而在这里我们专注于嘴部定位。在输入中给出描述唯一人物的图像时,首先我们利用颜色信息将搜索区域限制为候选的嘴巴区域,然后通过为此目的而训练的SVM确定确切的嘴巴位置。这种基于组件的方法实现了面部和相应面部特征的定位,对部分遮挡,姿势,比例和照明变化具有鲁棒性。我们在几个公共数据库的图像上报告单个特征分类器的单独模块的结果及其组合。

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