Robust face pose classification method based on geometry-preserving visual phrase

Constructing the discriminative feature for face pose classification is challenging. Since the key facial points are co-occurring with different spatial layout in different poses, we propose a pose classification framework based on the local geometry-preserving visual phrase (GVP). The weighting strategy on GVP enhances the discriminability of the single word and the spatial layout in the high order phrase simultaneously. Thus, the co-occurring words and local geometric structure of phrase are discriminative to distinguish pose, flexible and robust to the multi-factor variations. The experimental results on Oriental Face database and PIE database show the superiority of our method compared with the PCA, LDA based methods and the tf-idf weighted BoW method.