浅谈人脸识别技术的现状与应用被引量：2

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摘要本文介绍了人脸识别的有关技术，并对其在智能监控系统中的应用前景进行展望。

作者钱锋

机构地区长春工业大学计算机科学与工程学院电子信息专业

出处《中国电子商务》 2009年第11期165-165,共1页 E-commerce in China

关键词人脸识别技术现状应用

同被引文献18

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3J.Miao,B.Yin,K.Wang,L.Shen,and X.Chen.A hierarchical multiscale and multi angle sysyetm for human detection in a complex backgroung using gravity-cen ty template.Patern Recognition, 1999,32(7): 1237-1248.
4M-H.Yang,H.Ahuja,Detecting Human Faces in Color Images,Proc.IEEE IntlConf. Image Processing, 1998 Vol: 127-130.
5Felzenszwalb P. F, Girsllick R. B, McAllester D. Object Detection with Discriminatively Trained Part-Based Models. Pattern Analysis andMachine In telligence. 2010.
6肖志勇.基于可变形部件模型融合上下文的物体检测[J].2014.
7Felzellszwalb P. F, Girshick R. B, McAllester D. Cascade Object Detection with Deforrmable Part Models. Computer Vision and Pattern Recognition(CVR). 2010.
8Felzenszwalb P, McAllcster D,Ramanan D,A discriminatively crained,multiscal e,deformable part model[A].Computer Vision and Pattern Recognition[C].2008. 1-8.
9N. Dalalalld, B. Triggs. Histograms oforiemed gradients for human detectio n. CVPR. 2005, pages I: 886-893.
10Pedro FelzeI1Szwalb, David Mc Allester, Deva Ramanan. A Discriminatively Trained Multiscale Deformable Part Model.

中国电子商务

2009年第11期

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