Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11850
Title: Two-dimensional Laplacianfaces method for face recognition
Authors: Niu, B
Yang, Q
Shiu, SCK 
Pal, SK
Keywords: Eigenfaces
Feature extraction
Fisherfaces
Image based projection
Two-dimensional Laplacianfaces
Issue Date: 2008
Publisher: Elsevier
Source: Pattern recognition, 2008, v. 41, no. 10, p. 3237-3243 How to cite?
Journal: Pattern recognition 
Abstract: In this paper we propose a two-dimensional (2D) Laplacianfaces method for face recognition. The new algorithm is developed based on two techniques, i.e., locality preserved embedding and image based projection. The 2D Laplacianfaces method is not only computationally more efficient but also more accurate than the one-dimensional (1D) Laplacianfaces method in extracting the facial features for human face authentication. Extensive experiments are performed to test and evaluate the new algorithm using the FERET and the AR face databases. The experimental results indicate that the 2D Laplacianfaces method significantly outperforms the existing 2D Eigenfaces, the 2D Fisherfaces and the 1D Laplacianfaces methods under various experimental conditions.
URI: http://hdl.handle.net/10397/11850
ISSN: 0031-3203
EISSN: 1873-5142
DOI: 10.1016/j.patcog.2007.12.001
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