System for Editing Facial Shading based on Model Shape

Abstract

Facial information is a principal component in nonverbal communication, and it gives a wide variety of impressions to the observer. If we can clarify the relationships between facial information and impression, we would be able to easily input the right visual information on a face and thus manipulate impression given from a facial expression. We focused on the shading on the face. Although the ability to control the perceived shape by manipulating shading, e.g., through makeup, qualitatively evaluating this has not been easy. To find a way to do this, we developed a system for editing shading on a face by using shading generated from a target model with a known 3-D shape. We have also developed a qualitative method to evaluate the relationship between the shading and the perceived shape. We first describe the system in detail, and then demonstrate how it is effective at providing both qualitative and quantitative evaluations from real images.