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  • 标题:Eigenface Approach For The Recognition Of Face And Detection Of The Face
  • 本地全文:下载
  • 作者:Er. Anup lal yadav ; Er. Sahil Verma ; Er. Kavita
  • 期刊名称:International Journal of Engineering and Computer Science
  • 印刷版ISSN:2319-7242
  • 出版年度:2014
  • 卷号:3
  • 期号:9
  • 页码:8080-8084
  • 出版社:IJECS
  • 摘要:As one of the most successful applications of image analysis and understanding, face recognition has recently received significantattention, especially during past few years. Recently face recognition is attracting much attention in the society of networkmultimedia information access. Areas such as network security, content indexing and retrieval, and video compression benefitsfrom face recognition technology because "people" are the center of attention in a lot of video. Network access control via facerecognition not only makes hackers virtually impossible to steal one's "password", but also increases the user-friendliness inhuman-computer interaction. Indexing and/or retrieving video data based on the appearances of particular persons will be usefulfor users such as news reporters, political scientists, and moviegoers. For the applications of videophone and teleconferencing,the assistance of face recognition also provides a more efficient coding scheme. In this paper, we give an introductory course ofthis new information processing technology.
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