Making machines understand facial motion and expressions like humans do
Andrés del Valle, Ana Cristina · 2003
Complete interaction amongst humans and machines unavoidably needs computers to understand human emotions. Most emotive information comes from facial motion and expression. This article presents the design of a new procedure for image analysis that is able to understand facial actions on monocular video sequences, without imposing restrictions on the speaker or its environment. The exposed technique follows a global-to-specific analysis approach that tries to imitate the way people analyze face motion: by dividing this analysis in processes of different level of detail.