LABELING OF HUMAN FACE COMPONENTS FROM RANGE DATA

An approach to labeling the components of human faces from range image s is proposed. The components of interest are those humans usually fin d significant for recognition. To cope with the nonrigidity of faces, an entirely qualitative approach is used. The preprocessing stage empl oys a multistage diffusion process to identify convexity and concavity points. These points are grouped into components and qualitative reas oning about possible interpretations of the components is performed. C onsistency of hypothesized interpretations is carried out using contex t-based reasoning. Experimental results on real range images of severa l faces are provided. (C) 1994 Academic Press, Inc.