利用几何分析法和BP神经网络进行人脸识别的研究  

A face detection method based on structural analysis and neural network

作　　者：胡恬[1] 

机构地区：[1]湖北工学院电计系,武汉430068

出　　处：《计算机工程与设计》2002年第9期18-21,共4页Computer Engineering and Design

摘　　要：提出了一种基于几何特征分析和人工神经网络由粗到细的两级人脸探测方法。在第1级中,眼睛和脸是通过测量眼睛的尺寸和眼睛与脸的位置关系探测到的。第1级的输出是一个尺寸归一化的人脸,但偶尔也伴随着一个或多个因对复杂背景中与眼睛类似的物体的误判而得到的非人脸图像;第2级神经网络正是用来过滤掉第1级中被误判的人脸。实验表明,这种由粗到细的两级人脸探测系统具有很高的稳定性和探测正确率。In this paper a novel approach concerning a coarse-to-fine face detecting method has been proposed that employed face detecting system with two orders based on geometric analysis and neural network. In the first order, eyes and face are detected by means of their geometric property such as the dimensions of the eyes and the relations between eyes and face. The output of the first order is a normalized face but occasionally companied with one or more none-face caused by the misanalysis of the eyes-like objects in a complex background. The second order is a well-trained neural network, which is used to filtrate the misanalyzed outputs in the first order. This face detecting system with two orders has been proved to be robust and has high accurate detecting rate.

关 键 词：几何分析法 BP神经网络 人脸识别 人脸探测 图像预处理 计算机 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]