A Multi-angle Face Recognition Algorithm Based on Modified Gaussian Process Latent Variable Mode
Liu Jian①② Gong Zhi-heng② Wu Cheng-dong① Gao En-yang②
①(College of Information Science and Engineering, Northeastern University, Shenyang 110004, China) ②(College of Information and Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China)
Abstract：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.
刘剑, 龚志恒, 吴成东, 高恩阳. 一种基于改进高斯过程隐变量模型的多角度人脸识别算法[J]. 电子与信息学报, 2013, 35(9): 2033-2039.
Liu Jian, Gong Zhi-Heng, Wu Cheng-Dong, Gao En-Yang. A Multi-angle Face Recognition Algorithm Based on Modified Gaussian Process Latent Variable Mode. , 2013, 35(9): 2033-2039.
2013, Vol. 35 
