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基于全局和局部特征集成的人脸识别技术分析

Analysis of face recognition technology based on global and local feature integration
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摘要 随着现代科学技术的不断发展,现阶段信息采集和信息辨别的技术已经逐渐得到较大的发展,同时,随着互联网、大数据运算等新型先进技术的不断融入,信息识别的互通水平也逐渐得到了提升。在这种趋势下,人脸识别技术应运而生。人脸识别的全局特征和局部特征集成识别是十分重要的方面,文章对这一技术进行细致分析。 With the continuous development of modern science and technology,the technology of information collection and information discrimination has been gradually developed.At the same time,with the continuous integration of new advanced technologies such as big data computing on the Internet,the level of information recognition communication has been gradually improved.In this trend,face recognition emerges as the times require.The integrated recognition of global and local features is very important,this paper analyzes this technology in detail.
作者 全宏达 Quan Hongda(College of Computer Science and Technology,Henan Polytechnic University,Jiaozuo 454000,China)
出处 《无线互联科技》 2020年第9期117-118,共2页 Wireless Internet Technology
关键词 人脸识别 全局特征 局部特征 分类集成 face recognition global features local features classification integration
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  • 1[1]Turk M, Pentland A. Face Recognition Using Eigenfaces. Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recog- nition, 1991: 586-591
  • 2[2]Lades M, Vorbruggen J, Buhmann J, et al. Distortion Invariant Object Recognition in the Dynamic Link Architecture. IEEE Trans. on Com- puter, 1993, 42(3): 300-311
  • 3[3]Cotrell G W, Fleming M. Face Recognition Using Unsupervised Fea- tures Extraction. Proc. Int. Neural Network Conf., 1990, 1(1): 322-325
  • 4[4]Swets D L, Weng J. Using Discriminant Eigenfeatures for Image Retrieval. IEEE Trans. on PAMI, 1996, 18(8): 831-836
  • 5[5]Fukunaga K. Introduction to Statistical Pattern Recognition. Second Edition, New York: Academic Press, 1990
  • 6Martinez A., Kak A.. PCA versus LDA. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001,23(2): 228~233.
  • 7Pentland A., Moghaddam B., Starner. View-based and modular eigenspaces for face recognition. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 1994, 84~91.
  • 8Swets D.L., Weng J.. Using discriminant eigenfeatures for image retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1996, 18(8): 831~836.
  • 9Kirby M., Sirovich L.. Application of the Karhunen-Loeve procedure for the characterization of human faces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990, 12(1): 103~108.
  • 10Turk M., Pentland A.. Eigenfaces for recognition. Journal of Cognitive Neuroscience, 1991,3(1): 71~86.

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