[1]陈启泉,邱文宇,陈维斌.标准正面人脸图象的特征提取[J].华侨大学学报(自然科学版),2000,21(4):413-418.[doi:10.3969/j.issn.1000-5013.2000.04.018]
　Chen Qiquan,Qiu Wenyu,Chen Weibin.Extraction of the Features of Human Face Image in Standard Front-View[J].Journal of Huaqiao University(Natural Science),2000,21(4):413-418.[doi:10.3969/j.issn.1000-5013.2000.04.018]
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标准正面人脸图象的特征提取()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第21卷
期数:
2000年第4期
页码:
413-418
栏目:
出版日期:
2000-10-20

文章信息/Info

Title:
Extraction of the Features of Human Face Image in Standard Front-View
文章编号:
1000-5013(2000)04-0413-06
作者:
陈启泉; 邱文宇; 陈维斌
华侨大学计算机科学系, 泉州362011
Author(s):
Chen Qiquan;  Qiu Wenyu;  Chen Weibin
Dept. of Comput. Sci., Huaqiao Univ., 362011, Quanzhou
关键词:
人脸识别;  特征提取;  人脸几何模型;  头部轮廓;  图象处理;  特征点
Keywords:
face recognition;  feature extraction;  geometrical face model;  head outline;  image processing;  feature points
分类号:
TP391.4
DOI:
10.3969/j.issn.1000-5013.2000.04.018
摘要:
人脸的识别技术 ( FRT)是当前模式识别领域的一个热点课题,人脸特征的自动提取是人脸自动识别过程中至关重要的一步 .文中采用基于人脸几何特征的方法,设计一个初步的自动人脸特征提取系统 .首先通过改进后的边缘检测和阈值技术在头肩型图象中找到头部轮廓,再利用“三停五眼”的标准进一步确定五官大概的位置,最后提取出 7个有效的特征点 .本系统建了一个包含50个人脸图象的数据库,实验结果表明这种方法可以有效地获取头部轮廓和人脸特征点 .
Abstract:
Face recognition technology (FRT) is a hot spot in the field of pattern recognition today. Automatic extraction of face image is the crucial step during automatic face recognition. By adopting the method based on geometric features of human face, an initial automatic system is designed for face feature extraction. At first, to find head outline in head shoulder image by improved edge detection and threshold technology. And then, to further define rough position of ears, nose and eyes by the norm of partitioning human face image into 3 parts vertically and 5 parts horizontally. And finally, to extract 7 effective feature points. A database involving 50 images of human face is built up by this system. Head outline and feature points of human face can be effectively achieved by this method, as shown by experimental results.

参考文献/References:

[1] Brunelli R, Roggio T. Face recognition: features versus template [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993, (10):1042-1052.doi:10.1109/34.254061.
[2] Yuille A L. Deformable templates for face recognition [J]. Journal of Cognitive Neuroscience, 1989.59-70.
[3] Waite J B, Welsh W J. Head boundary location using snakes [J]. British Telecommunication Technology Journal, 1990(3):127-135.
[4] Lee C H, Kim J S, Park K H. Automatic human face Location in a complex background patt [J]. Reco, 1996, (11):1877-1889.doi:10.1016/0031-3203(96)00036-2.
[5] 刘隆达, 陈启泉, 陈维斌. 多媒体文档系统MDS-I的设计与实现 [J]. 华侨大学学报(自然科学版), 1999(2):200-203.

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备注/Memo

备注/Memo:
福建省自然科学基金资助项目
更新日期/Last Update: 2014-03-23