Abstract: A computer-implemented image processing method, system, and computer program product for representation of static objects in a digital target image including a plurality of target pixels. The method includes at least receiving a plurality of digital source images of the static objects, computing diffuse components for target pixels of surface elements by computing for each target pixel of the surface elements a set of diffuse reflection coefficients from a best-fit function when fitted into reflected light intensity values of corresponding source pixels of the source images under different illumination angles, generating normal vectors for the target pixels by using the computed diffuse reflection coefficients, and determining glossy coefficients for the target pixels of the one or more surface elements as the distances between the corresponding best-fit function values and the reflected light intensity values of the corresponding source pixels for the different illumination angles.

Abstract: A computer-implemented image processing method, system, and computer program product for representation of static objects in a digital target image including a plurality of target pixels. The method includes at least receiving a plurality of digital source images of the static objects, computing diffuse components for target pixels of surface elements by computing for each target pixel of the surface elements a set of diffuse reflection coefficients from a best-fit function when fitted into reflected light intensity values of corresponding source pixels of the source images under different illumination angles, generating normal vectors for the target pixels by using the computed diffuse reflection coefficients, and determining glossy coefficients for the target pixels of the one or more surface elements as the distances between the corresponding best-fit function values and the reflected light intensity values of the corresponding source pixels for the different illumination angles.