Facial image retrieval based on demographic classification

Bo Wu, H. Ai, Chang Huang
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引用次数: 23

Abstract

In this paper, we propose a novel method for demographic classification and present an image retrieval system that can retrieve facial images by demographic information that includes gender, age and ethnicity. The demographic information is extracted from human faces by demographic classifiers that are learned from boosting Haar feature based look-up-table type weak classifiers. The image retrieval system consists of three modules, face detection, facial feature landmark extraction and demographic classification. Experimental results are reported to show its potential in the management of a large facial image database for online retrieval applications.
基于人口统计分类的人脸图像检索
在本文中,我们提出了一种新的人口统计分类方法,并提出了一个图像检索系统,该系统可以根据包括性别、年龄和种族在内的人口统计信息检索人脸图像。人口统计信息通过人口统计分类器从人脸中提取,该分类器从增强Haar特征的查找表型弱分类器中学习。该图像检索系统由人脸检测、人脸特征地标提取和人口统计分类三个模块组成。实验结果显示了该方法在大型面部图像数据库管理中的应用潜力。
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