Geometry-Based Facial Expression Recognition via Large Deformation Diffeomorphic Metric Curve Mapping

摘要

We proposed a new geometry-based facial expression recognition (FER) system in the framework of large deformation diffeomorphic metric curve mapping. The geometry of a face was represented by 12 distinct curves, with curve-based facial deformations being used to identify two sets of geometric features in two settings. In each setting, four types of features were extracted and tested. Leave-one-out cross-validation experiments on 327 image sequences yielded accuracies as high as 94%. Furthermore, using a multi-kernel technique to combine features from the two settings has boosted the recognition accuracy to be as high as 95.4%.