Orthogonal local spline discriminant projection with application to face recognition

摘要

In this paper, an efficient feature extraction algorithm called orthogonal local spline discriminant projection (O-LSDP) is proposed for face recognition. Derived from local spline embedding (LSE), O-LSDP 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 sub-space to improve discriminant power. Extensive experiments on several standard face databases demonstrate the effectiveness of the proposed method.