Can subspace based learning approach perform on makeup face recognition?

The impacts of facial makeup on automated face recognition system have received attention recently and studies have shown that facial cosmetics can compromise the accuracy of current face recognition techniques. Hence, there are groups of researchers endeavoring to develop the face recognition systems that are robust to facial makeup. In this work, the literatures on various techniques proposed to deal with facial makeup are reviewed. At the same time, we present the findings of subspace based learning approach in makeup face recognition the performance comparison of local descriptors and subspace learning approaches.