کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
412736 679678 2010 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Diagonal and secondary diagonal locality preserving projection for object recognition
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Diagonal and secondary diagonal locality preserving projection for object recognition
چکیده انگلیسی

In this paper, the variants of Two Dimensional Locality Preserving Projection (2DLPP) namely Diagonal Locality Preserving Projection (DiaLPP) and Secondary Diagonal Locality Preserving Projection (SDiaLPP) are proposed as the new dimensionality reduction techniques. The 2DLPP method seeks optimal projection vectors by using the row information of the image and the Alternate 2DLPP method seeks optimal projection vectors by using the column information of the image, whereas the DiaLPP seeks optimal projection vectors by interlacing both the rows and column information of the images. Experimental results on subset of COIL object database show that the proposed methods achieves higher recognition rate than 2DLPP and Diagonal Principal Component Analysis(DiaPCA).

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 73, Issues 16–18, October 2010, Pages 3328–3333
نویسندگان
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