3D shape, color and specular estimation using an image scanner with multiple illuminations

In this study, by using an image scanner equipped with multiple illuminations, we propose a method to estimate 3D shape, color and specular reflections of an object. We formulate this problem as the absolute depth estimation using the photometric stereo method. Our proposed method consists of two parts. The first process is the initial shape estimation. This method uses several scanned images taken by illuminations located on circumferences, and estimates object shape by using averaged images to reduce the specular reflection. The second process is an iterative estimation of specular components, color and shape. In experiments, we show shape reconstruction results using real and synthetic images, and confirm the effectiveness of our proposed method.