|Table of Contents|

Face Feature Extraction Approach of Projective Transition Subspace Based on Basis Function of Mirror Symmetry

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2012年06期
Page:
0-
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Info

Title:
Face Feature Extraction Approach of Projective Transition Subspace Based on Basis Function of Mirror Symmetry
Author(s):
FAN Yan1YU Dongjun2SONG Xiaoning1SHU Xin1
1.School of Computer Science and Engineering,Jiangsu University of Science and Technology, Zhenjiang 212003,China;2.School of Computer Science and Engineering,NUST,Nanjing 210094,China
Keywords:
basis function of mirror symmetrytransition matrixface recognitionsmall sample size problem
PACS:
TP391.41
DOI:
-
Abstract:
To enhance the integrity of discrimination information and improve the ability of solving small sample size problems(SSSP),a feature extraction approach is constructed to solve the sample identification information with geometric symmetry.From the view of linear subspace,a set of mirror symmetrical basis functions are constructed in original space according to the geometric symmetry of face images and the oddeven decomposition theorem.A matrix transform is presented to obtain the transition matrix between the two oddeven basis functions.The optimal discrimination vectors are obtained in the transition matrix space.This method enhances the integrity of discrimination information and solves the SSSP effectively.Experimental results from the ORL and FERET face image databases demonstrate the effectiveness of the proposed method.

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Last Update: 2012-12-29