Feature extraction based on fuzzy local discriminant embedding with applications to face recognition
Authors:
- 23 September 2011
- journal article
- Published by Institution of Engineering and Technology (IET) in IET Computer Vision
- Vol. 5 (5) , 301-308
Abstract
Recently, local discriminant embedding (LDE) was proposed to manifold learning and pattern classification. LDE achieves good discriminating performance by integrating the information of neighbour and class relations between data points. However, in the real-world applications, the performances of face recognition are always affected by variations in illumination conditions and different facial expressions. LDE still cannot solve illumination problem in face recognition. In this study, the fuzzy local discriminant embedding (FLDE) algorithm is proposed, in which the fuzzy k-nearest neighbour (FKNN) is implemented to reduce these outer effects to obtain the correct local distribution information to persuit good performance. In the proposed method, a membership degree matrix is firstly calculated using FKNN, then the membership degree is incorporated into the definition of the Laplacian scatter matrix to obtain the fuzzy Laplacian scatter matrix. The optimal projections of FLDE can be obtained by solving a generalised eigenfunction. Experimental results on ORL, Yale and AR face databases show the effectiveness of the proposed method.Keywords
This publication has 26 references indexed in Scilit:
- Efficient and Robust Feature Extraction by Maximum Margin CriterionIEEE Transactions on Neural Networks, 2006
- Solving the small sample size problem in face recognition using generalized discriminant analysisPattern Recognition, 2006
- Foley–Sammon Optimal Discriminant Vectors Using Kernel ApproachIEEE Transactions on Neural Networks, 2005
- An optimization criterion for generalized discriminant analysis on undersampled problemsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2004
- An efficient algorithm to solve the small sample size problem for LDAPattern Recognition, 2004
- Structure Preserving Dimension Reduction for Clustered Text Data Based on the Generalized Singular Value DecompositionSIAM Journal on Matrix Analysis and Applications, 2003
- Face recognition using eigenfaces2002
- Eigenfaces vs. Fisherfaces: recognition using class specific linear projectionIEEE Transactions on Pattern Analysis and Machine Intelligence, 1997
- Using discriminant eigenfeatures for image retrievalIEEE Transactions on Pattern Analysis and Machine Intelligence, 1996
- Regularized Discriminant AnalysisJournal of the American Statistical Association, 1989