A unified framework for PCA, LDA, and LPP
Qing Xia · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2012
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.