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  • 标题:Face Detection in Real Time Based on HOG
  • 本地全文:下载
  • 作者:Rekha N ; M.Z.Kurian
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2014
  • 卷号:3
  • 期号:4
  • 页码:1345-1352
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Naturally before recognizing a face, it m ust be located in the im age. In some cooperative systems, face detection is obviated by constraining the user. Most systems use a combination of skin-tone and face texture to determ ine the location of a face and use an im age pyramid to allow faces of varying sizes to be detected. Increasingly, system s are being developed to detect faces that are not full frontal. This paper proposes a design to detect faces in real tim e using hog descriptor. Taking HOG of the image and calculate the weights which contributes for the facial features. Positive weights with facial features like eyes, nose, and mouth are m arked com pletely to visualize a face. This algorithm continuously detects the face from +90 0 to -90 0 rotations even for occluded faces with high detection rate.
  • 关键词:Face detection; Face recognition; Facial ; feature; HOG descriptor; Face visualization
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