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Computational Models for Skin and other Surface Texture
Dr. Kristin Dana
Monday, December 10, 2007, 01:00pm - 02:00pm
Rutgers University, Electrical and Computer Engineering
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.