Appearance estimation and reconstruction of glossy object surfaces based on the dichromatic reflection model

We propose an approach for estimating and reconstructing the material appearance of objects based on spectral image data acquired in complex illumination environments with multiple light sources. The object can be constructed various properties such as reflectance, glossiness, matteness under different geometric conditions. are assumed to made inhomogeneous dielectric gloss or specularity. color signals from surface described by standard dichromatic reflection model, which consists diffuse specular reflections, where component has same composition illuminant. overall is determined a combination chromatic factors, reflectance illuminant spectra, shading terms, represent geometries illumination. Therefore, novel reconstructed modifying factors terms. method estimation reconstruction comprises four steps: (1) estimation, (2) (3) term region segmentation, (4) model. proposed validated experiment materials illuminated using demonstrate typical results appearances.