Facial Expression Recognition with Multi-channel Deconvolution

Abstract

Facial expression recognition is an important task in human computer interaction systems to include emotion processing.  In this work we present a Multi-Channel Deconvolution method for post processing of face expression data derived from video sequences. Photogrammetric techniques are applied to deter¬mine real world geometric measures and to build the feature vector. SVM classification is used to classify a limited number of emotions from the feature vector. A Multi-Channel Deconvolution removes ambiguities at the transitions between different classified emotions. This way, typical temporal behavior of facial expression change is considered.