Facial expression recognition from static images
Bilge S. Akkoca Gazioğlu, Muhittin Gökmen · 2014
In this study, a cascaded structure includes algorithms of Local Zernike Moments, Local XOR Patterns and Global Zernike Moments is used for Facial Expression Recognition. 10 patches are specified on the images in CK+ dataset and over those pathces 3 methods are applied respectively. By concataneting of the moment coefficients, the feature vector generated and classified with Support Vector Machines.