A Multi-view Facial Expression Recognition Method Based on Discriminative Shared Gaussian Process Latent Variable Model

Abstract

The traditional multi-view facial expression recognition method is adopted view-specific classifier to recognition view-specific sample. This approach ignores the fact that different views of a facial expression are just different manifestations of the same facial expression. To address this, a multi-view facial expression recognition method based on Discriminative Shared Gaussian Process Latent Variable Model is proposed. Firstly this method extraction Incremental Update Parallel Cascade of Linear Regression feature, then its uses PCA to select the feature, finally adopts Discriminative Shared Gaussian Process Latent Variable Model to recognition Multi-view facial expression. The experiment carried on CMU-PIE database and LFPW database show the effectiveness of our method.