The interaction between motion and form in expression recognition

摘要: Faces are a powerful and versatile communication channel. Physically, facial expressions contain considerable amount of information, yet it is clear from stylized representations such as cartoons that not all this information needs to be present for efficient processing communicative intent. Here, we use high-fidelity animation system investigate the importance two forms spatial (connectivity number vertices) perception intensity recognition expressions. The simplest form connectivity point light faces. Since they show only vertices, motion configuration features can seen but higher-frequency deformations cannot. In wireframe faces, additional about deformation available. Finally, full-surface faces have highest degree static information. results experiments presented. first, presence was manipulated. second, size images varied. Overall, dynamic performed better than were largely impervious elimination shape or Decreasing image had little effect until critical reached. These add growing body evidence shows expressions: As long present, very required.