Imaging and rendering of oil paintings using a multi-band camera

The paper proposes a method for the imaging and rendering of art paintings using a multi-band camera system. The surface shape of an art painting is considered as a rough plane rather than a three-dimensional curved surface. First. we present an algorithm for estimating the surface normal at each pixel point, based on a photometric stereo without using a rangefinder. Next, an algorithm is presented for estimating the spectral reflectance function from a set of pixel values acquired at different illumination directions. Then, the surface reflectance and normal data are used for estimating the light reflection properties. The Torrance-Sparrow model is used for model fitting and parameter estimation. Finally, an experiment using an oil painting is executed for demonstrating the feasibility of the proposed method.