A Multi-angle Face Recognition Algorithm Based on Modified Gaussian Process Latent Variable Mode

The traditional spectrum algorithms are limited in face recognition issue. For its characteristics of issue, a novel multi-angle face recognition method based on modified Gaussian Process Latent Variable Mode (GP-LVM) is proposed. Firstly, the probabilistic model of face manifold is established with the Gaussian Process (GP), and the GP-LVM can be gotten. Secondly, the shared information and private information can be gotten by analyzing the GP-LVM. Thereafter, the reference matrices and the reference values are calculated with maximum probability and Lagrange algorithm. Finally, the multi-angle face recognition can be achieved. The four classes of data sets are selected as the experimental data, which consist of Yale, JAFFE, FERET and CMU-PIE. The experiment results show that the proposed method not only has a great effect to recognize multi-angle face, but it can be applied to no angle face recognition.