Abstract
This paper proposes a method for estimating the 3D shape, color, and specular reflections of an object on the basis of images recorded with an image scanner equipped with multiple light sources. The proposed method is based on the photometric stereo method and it involves several steps. First, we carry out height estimation using four scanned images. Using linear light sources, we can determine the height between the scanning plane and the object surface, regardless of the amount of specular reflection. Next, we estimate the surface normal vectors and object color using the scanned images recorded by light sources located along a circular path. Then, we estimate the specular components using the same scanned images. We perform experiments for object reconstruction using synthetic images and for identifying the optimal arrangement of the light sources for the estimation. Finally, we confirm that the estimated color and specular components have some errors, but the object shape can be estimated accurately.
