Gabor boost linear discriminant analysis for face recognition

Authors:
Dong Li;Xudong Xie;Qionghai Dai;Zhigang Jin
Affiliations:
School of Computer Science and Technology, Tianjin University;TNLIST and Department of Automation, Tsinghua University;TNLIST and Department of Automation, Tsinghua University;School of Computer Science and Technology, Tianjin University
Venue:
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Year:
2009

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Abstract

This paper proposes an innovative algorithm named Gabor Boost Linear Discriminant Analysis (GBLDA) for face recognition. In our method, we want to estimate the distribution of high dimensional Gabor wavelet (GW) features in a low dimensional LDA subspace without computing the GW feature of an input image. The computational complexity can be reduced significantly. Hence, GBLDA is suitable for real-time applications. Experimental results show that our proposed method not only possesses the advantages of linear subspace analysis approaches such as low computational complexity, but also has the advantage of a high recognition performance in the Gabor based methods.