Adaptation of Expression Analysis Based on Evaluation Principles

This paper examines the problem of facial expression analysis in an evaluation-adaptation framework. In this paper, we are proposing a new approach, where the basic method is combined with a (postprocessing) evaluation subsystem, which evaluates the obtained features and defines facial features that are to be refined. Anatomical constraints related to both 2-D and 3-D facial models are used for this purpose. Experimental results are presented, obtained in the framework of the ERMIS IST project, which illustrate the success of the proposed approach for extraction of facial features and expression analysis from low quality real life data.