Face recognition using synthesized intermediate views

Abstract

This paper describes an approach to face recognition using synthesized intermediate views which are not in the training database but come in the test data set. A 3D face modeling procedure is used to create these synthesized views. This method is evaluated by correlating all synthesized views with real intermediate views.