Event Details

Human skin texture has complex geometry and local optical properties due to multiple layers and spatially varying structures such as pores, wrinkles, hairs and other variations. Surface detail� is a necessary component for characterization and change detection. Modeling surface detail is�fundamentally different from object� modeling because a geometry + shading model is inadequate. Fine�scale geometry in skin morphology is difficult to measure. Our approach to skin modeling uses the bidirectional�� texture� function. We develop models of surface texture and demonstrate their use in recognition tasks.�For measurement, we develop a texture camera to obtain reflectance and surface height variation using�curved mirrors. We also investigate appearance model for objects with fine scale surface geometry superimposed� on global geometry. A key example is the human face where the shape of the head, eyes, nose and mouth�comprise the global geometry but surface details such as pores and wrinkles are an important component of�appearance.� The resulting model has implications for recognition, rendering as well as and skin change detection for dermatology.