Robust 2DPCA and Its Application

Abstract

Two-dimensional Principal Component Analysis (2DP-CA) has been widely used for face image representation and recognition. However, 2DPCA, which is based on F-norm square, is sensitive to the presence of outliers. To enhance the robustness of 2DPCA model, we proposed a novel Robust 2DPCA objective function, called R-2DPCA. The criterion of R-2DPCA is… (More)
DOI: 10.1109/CVPRW.2016.147

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