Estimation of 3D Shape and Reflectance using Multiple Moire Images and Shading Model

Shoichi Naganuma, Norio Tagawa, Akihiro Minagawa

Abstract: We consider a method of determining the shape of object and the reflectance of its surface simultaneously using the Moiré technique and shape from shading. If the object surface has multiple reflectance, it must be classified to different reflectance. This classification is formulated as a simple clustering problem. By applying expectation-maximization(EM) algorithm, shape and reflectance can be estimated, and classification can be performed. However, as the relationship between the position of the light source and the gradient of the object surface gives rise to ambiguities in the reflectance, classification may fail. To solve this problem, we capture multiple Moiré images and propose a method of estimation using these images. The usefulness of the proposed method is confirmed by results obtained from simulation and real image experiments.