From image vector to matrix: a straightforward image projection technique - IMPCA vs. PCA

نویسندگان

  • Jian Yang
  • Jing-Yu Yang
چکیده

The conventional principal component analysis (PCA) and Fisher linear discriminant analysis (FLD) are both based on vectors. Rather, in this paper, a novel PCA technique directly based on original image matrices is developed for image feature extraction. Experimental results on ORL face database show that the proposed IMPCA are more powerful and e:cient than conventional PCA and FLD. ? 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

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عنوان ژورنال:
  • Pattern Recognition

دوره 35  شماره 

صفحات  -

تاریخ انتشار 2002