Orthogonal linear local spline discriminant embedding for face recognition
Yingke Lei, Rong-Xiang Hu, Lei Tang, Shanwen Zhang, De-Shuang Huang · 2010
In this paper, an efficient feature extraction algorithm called orthogonal linear local spline discriminant embedding (O-LLSDE) is proposed for face recognition. Derived from local spline embedding (LSE), O-LLSDE not only inherits the advantages of LSE which uses local tangent space as a representation of the local geometry so as to preserve the local structure, but also makes full use of class information and orthogonal subspace to improve discriminant power. Extensive experiments on standard face databases demonstrate the effectiveness of the proposed method.