Multi-view face recognition based on tensor subspace analysis and view manifold modeling

作者：Gao Xinbo; Tian Chunna^*

来源：Neurocomputing, 2009, 72(16-18): 3742-3750.

DOI：10.1016/j.neucom.2009.06.001

• Face recognition
• Tensor subspace analysis
• View manifold
• Manifold learning

This paper aims to address the face recognition problem with a wide variety of views. We proposed a tensor subspace analysis and view manifold modeling based multi-view face recognition algorithm by improving the TensorFace based one. Tensor subspace analysis is applied to separate the identity and view information of multi-view face images. To model the nonlinearity in view subspace, a novel view manifold is introduced to TensorFace. Thus, a uniform multi-view face model is achieved to deal with the linearity in identity subspace as well as the nonlinearity in view subspace. Meanwhile, a parameter estimation algorithm is developed to solve the view and identity factors automatically. The new face model yields improved facial recognition rates against the traditional TensorFace based method.

• 出版日期2009-10
• 单位西安电子科技大学