期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

智能建筑中人脸识别仿真应用研究

Research on Simulation Application of Face Recognition in Intelligent Building
下载PDF
导出
摘要 为研究智能建筑中人脸识别的仿真应用系统,利用相应的算法解决人脸图像的预处理、人脸图像数据的压缩与传输、RBF神经网络参数的选取等关键环节的技术问题,在人脸识别的仿真系统中进行应用测试。仿真试验为人脸识别仿真系统中算法的选择、应用参数的选取提供了数据支持,对提高智能建筑门禁中人脸识别系统的准确、快速、防伪性能提供了有效帮助。 Face recognition simulation application system in intelligent building was researched. Technical problems of face image preprocessing, compressing and transfering of face image data, selection of parameters of RBF neural network, etc. was solved using appropriate algorithm. Application test in face recognition simulation system was conducted. Simulation test offered data support for choosing of algorithm, selection of application parameters in face recognition simulation system. Valid aids to raise function of accuracy, high-speed, anti-fake for face recognition system in intelligent building were offered.
作者 陈彪 吴成东 郑君刚
机构地区 沈阳建筑大学理学院 东北大学信息科学与工程学院
出处 《现代建筑电气》 2013年第2期5-8,共4页 Modern Architecture Electric
基金 建设部科研基金项目(2007-K03-04) 沈阳建筑大学青年基金(2010119)
关键词 人脸图像 预处理 数据压缩 仿真识别 face image preprocessing data compressing simulation recognition
分类号 TU855 [建筑科学] TP391.41 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献12

  • 1MENG J E, CHEN W L. High-speed face recognition based on discrete cosine transform and RBF neural networks [J]. IEEE Transaction on Neural Networks, 2005, 16 (3) : 679-691.
  • 2MENG J E, WU S Q. Face recognition with radial basis function ( RBF ) neural networks [ J ]. IEEE Transaction on Neural Networks, 2002, 13 (3) : 697-710.
  • 3GAO D Q, TONG Z. Fuzzily modular single- layer RBF neural networks for solving large-scale classification problems [C] //IEEE International Conference on Fuzzy Systems ,2005.
  • 4OYANG Y J, HWANG S C, OU Y Y, et ai. Data classification with radial basis function networks based on a novel kernel density estimation algorithm [ J ]. IEEE Transactions on Neural Networks, 2005,16 ( 1 ) : 225-236.
  • 5LIU C J, WECHSLER H. Independent compon- ent analysis of gabor features for face recognition [ J ]. IEEE Transaction on Neural Networks, 2003, 14 (4) : 919-928.
  • 6DUFAUX F, EBRAHIMI T. Smart video surveillance system preserving privacy [C] // Image and Video Communications and Processing 2005, 2005 : 54- 63.
  • 7DESURMONT X, DELAIGLE J F, BASTIDE A. A generic flexible and robust approach for intelligent real-time video-surveillance system[J]. Real-Time Imaging, 2004 ( 8 ) : 134-141.
  • 8CUCCHIARA R, GRANA C, PRATI A. Comp- uter vision system for in-house video surveillance vision [ J ]. Image and Signal Processing, IEEE Proceedings ,2005,152 (2): 242-249.
  • 9HU J S, SU T M, JENG S C. Robust backgro- und subtraction with shadow and highlight [ C ]// 2006 IEEE/RSJ International Conference on Intelligent Robots and System ,2006 : 4545-4550.
  • 10陈彪,吴成东,郑君刚.智能建筑中人脸识别与报警的应用[J].低压电器,2009(2):22-26. 被引量：7

二级参考文献22

  • 1洪子泉,杨静宇.基于奇异值特征和统计模型的人像识别算法[J].计算机研究与发展,1994,31(3):60-65. 被引量：49
  • 2HONG Z Q. Algebraic Feature Extraction of Image Recognition[ J ]. Pattern Recognition, 1991,24 (3) : 211-219.
  • 3MOGHADDAM B, JEBARA T, PENTLAND A. Bayesian Face Recognition [ J ]. Pattern Recognition, 2000( 33 ) :1771-1782.
  • 4Meng Joo Er, WU Shiqian, LU Juwei, et al. Face Recognition with Radial Basis Function(RBF) Neural Networks [ J ] IEEE Transactions,2002,13 ( 3 ) : 697- 710.
  • 5YANG Fan, Paindavoine M. Implementation of an RBF Neural Network on Embedded Systems: Real- Time Face Tracking and Identity Verification [J]. IEEE Transactions on Neural Networks, 2003, 14 (5) : 1162-1175.
  • 6WANG Xiaogang, TANG Xiaoou. Bayesian Face Recognition Based on Gaussian Mixture Models Pattern Recognition[ C]//Proceedings of the 17th International Conference,2004(4) :142-145.
  • 7Tian Y, Tan T N, Wang Y H, et al. Do Singular Values Contain Adequate Information for Recognition [ J]. Pattern Recognition, 2003, 36 (3) : 649-655.
  • 8ZHAO W Y, CHELLAPPA R, PHILLIPS P J, et al. Face Recognition: A Literature Survey [ J ]. ACM Computing Survey, 2003,35 (4) :399-458.
  • 9DUBA R O. Pattern Classification, Second Edition [ M]. John Wiley & Sons,Inc., 2001.
  • 10CHELLAPPA R, WILSON C L. Human and Machine Recognition of Faces: A Survey [ C ]//Proc. of the IEEE Transactions on Image,1995,83 (5) :705-740.

共引文献10

现代建筑电气
2013年 第2期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部