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Proceedings Paper

A unified framework for PCA, LDA, and LPP
Author(s): Xia Qing
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Paper Abstract

PCA, LDA and LPP are the three most representative subspace face recognition approaches. In this paper, we show that they can be unified under the same framework. A unified framework is constructed by using the graphic embedding. We develop a unified framework to study the three major subspace face recognition methods: PCA, LDA, and LPP. PCA is an evaluation benchmark for face recognition. Both LDA and LPP have achieved superior performance in the YALE face database. A unified framework on the three methods will greatly help to understand the family of subspace methods for further improvement.

Paper Details

Date Published: 1 June 2012
PDF: 7 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 833406 (1 June 2012); doi: 10.1117/12.945973
Show Author Affiliations
Xia Qing, Library Huaihai Institute of Technology (China)

Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)

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