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  • 标题:A Survey on Face Recognition Techniques
  • 本地全文:下载
  • 作者:Jay Prakash Maurya ; Akhilesh A. Waoo ; P.S Patheja
  • 期刊名称:Computer Engineering and Intelligent Systems
  • 印刷版ISSN:2222-1727
  • 电子版ISSN:2222-2863
  • 出版年度:2013
  • 卷号:4
  • 期号:6
  • 页码:11-16
  • 语种:English
  • 出版社:International Institute for Science, Technology Education
  • 摘要:Face detection is a computer technology that determines the locations and sizes of human faces in arbitrary (digital) images. It detects facial features and ignores anything else, such as buildings, trees and bodies. Face detection can be regarded as a specific case of object-class detection. In object-class detection, the task is to find the locations and sizes of all objects in an image that belong to a given class. Examples include upper torsos, pedestrians, and cars. Face detection can be regarded as a more general case of face localization. These days face detection is current research area. The face detection is normally done using ANN, CBIR, LDA and PCA.
  • 关键词:- ANN; CBIR; LDA and PCA
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