Abstract
This paper describes a method for achieving novel appearances of a given face that can create intended impressions on observers. A morphable 3D model of the human face is developed to describe the variations in appearance while also using a small number of parameters. To find the physical parameters of the 3D objects that might strongly contribute to their visual impressions, the impression ratings obtained for learning samples are computationally investigated. Based on the quantification of higher-order impressions by the Semantic Differential (SD) method, the visual impression of the face can be transformed by manipulating the parameters defined in the morphable 3D model. The ability of the proposed method to transform impressions is confirmed by the paired comparison method.
