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  1. jbptunikompp-gdl-muhamadfua-28056-8-13_uniko-3.ra

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  2. Experimental results on Bern face database and our 350 subjects database show that our method makes impressive performance improvement compared with the conventional Eigenfaces and template matching techniques.
  3. 所属分类:Project Design

    • 发布日期:2017-11-09
    • 文件大小:628821
    • 提供者:Agus Setiawan
  1. FisherFacesCheck

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  2. In this paper, we extend Fisherface for face recognition from one example image per son. Fisherface is one of the most successful face recognition methods. However, Fisherface requires several training images for each face, so it cannot be ap
  3. 所属分类:Development Research

    • 发布日期:2017-04-03
    • 文件大小:175196
    • 提供者:arkan
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