Abstract
The analysis and synthesis of human skin color is important in many different application areas. The skin color depends on some histological vatriables such as the concentration of pigments of melanin and hemoglobin in skin layers. The present paper describes a method for estimating surface-spectral reflectance of human skin based on an optics model and applying the estimates to 3D realistic image rendering for a part of the human body. The human skin is modeled as the two layers of turbid materials for epidermis and dermis. An estimation algorithm is then developed using the Kubelka-Munk theory to the two-layer model. The parameters representing the concentration of pigments are determind based on spectral-reflectance measurements of human skin surface. In the application step, we describe a technique for rendering realistic skin images of a skin surface as a 3D object. In experiments, the accuracy of the estimated reflectances is shown, and skin color images are created under a variety of conditions on illumination, viewing, and pigmentation.
