Kernel Based Orthogonal Locality Sensitive Discriminant Analysis
Haiyan Lv · Journal of Chinese Computer Systems · 2009
To discover the nonlinear structure information embedded in face image,a new face recognition algorithm called Kernel based Orthogonal Locality Sensitive Discriminant Analysis is proposed,which considers the kernel method and orthogonal basis functions.The derivation process of the algorithm and the calculation steps are also presented.First the face images are mapped into high nonlinear space by kernel method to obtain the nonlinear information.Then a linear transformation is performed to preserve locality geometric structures.Finally,a set of orthogonal basis vectors are obtained by Schmidt orthogonalization method to present the nonlinear manifold structure of the face image.Experiments on ORL and YaleB demonstrate the effectiveness of the new algorithm.