[1]姜志华,郭跃飞,娄震,等.基于灰度突变特征结构的快速人脸检测[J].南京理工大学学报(自然科学版),2000,(02):143-146.
 JiangZhihua GuoYuefei LouZhen YangJingyu.Fast Human Face Detection Based on Grey Discontinuous Feature Structure[J].Journal of Nanjing University of Science and Technology,2000,(02):143-146.
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基于灰度突变特征结构的快速人脸检测()
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
2000年02期
页码:
143-146
栏目:
出版日期:
2000-04-30

文章信息/Info

Title:
Fast Human Face Detection Based on Grey Discontinuous Feature Structure
作者:
姜志华郭跃飞娄震杨静宇
南京理工大学计算机系, 南京210094
Author(s):
JiangZhihua GuoYuefei LouZhen YangJingyu
Department of Computer,NUST,Nanjing 210094
关键词:
图象处理 边缘 检出 图象分割
Keywords:
image processing edge image segmentation face detect ion
分类号:
TP391.4
摘要:
基于面向人脸的分析 ,按照将复杂背景中的人脸检测转化为对五官检测的思想 ,建立了以五官结构为检测特征的人脸检测模型。在进行了灰度突变点、灰度突变块、组件特征块等一系列特征标识的基础上 ,设计了以双眼结构为主索引特征的多步快速检测算法。实验结果显示 ,该算法具有良好的检测性能
Abstract:
According to analysing the human face and convert ing face detect ion in complex background into facial detection, a face detect ion model is built w ith facial feature being detect ive feature. Mult-i step fast detect ive algorithm is presented, using eyes structure as main index feature, after putt ing sig ns of grey discont inuous point s, grey discont inuous blocks, and part feature blocks. Ex perimental result s have show n good detect ive performance of the algorithm.

参考文献/References:

1 Conlin M J. A rule-based high- level visio n system. In: Proc of SPIE. I ntellig ent Robots and Computer Vision: Fifth in a Ser ies, 1986, 726: 314~ 320
2 Yang Guangzheng . Human face detection in a complex background. Pattern Recognition, 1994, 27( 1) : 53~ 63
3 杨光正, 黄熙涛1 镶嵌图在人面定位中的应用1 模式识别与人工智能, 1996, 9( 3) : 213~ 220
4 Juell P. A hierarchical neural networ k for human face detection. Pattern Recognition, 1996, 29( 5) : 781~ 787

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备注/Memo

备注/Memo:
国家自然科学基金课题;国家教委博士点基金
姜志华 男 27 岁 硕士生
更新日期/Last Update: 2013-03-25