کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
407958 678238 2011 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Optimal locality preserving projection for face recognition
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Optimal locality preserving projection for face recognition
چکیده انگلیسی

In face recognition, when the number of images in the training set is much smaller than the number of pixels in each image, Locality Preserving Projections (LPP) often suffers from the singularity problem. To overcome singularity problem, principal component analysis is applied as a preprocessing step. But this procession may discard some important discriminative information. In this paper, a novel algorithm called Optimal Locality Preserving Projections (O-LPP) is proposed. The algorithm transforms the singular eigensystem computation to eigenvalue decomposition problems without losing any discriminative information, which can reduce the computation complexity. And the theoretical analysis related to the algorithm is also obtained. Extensive experiments on face databases demonstrate the proposed algorithm is superior to the traditional LPP algorithm.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 74, Issue 18, November 2011, Pages 3941–3945
نویسندگان
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