3D Shape Reconstructions Using Image Scanner under Various Number of Illuminations

In this paper, we propose new shape and color reconstruction methods using image scanner equipped with multiple illuminations. Here, we show three reconstruction algorithms in case of two, three and four light sources. These algorithms are based on the nonlinear least squares using the photometric models and color image intensities. And we estimate optimal number and positions of light sources for a shape reconstruction. As the experimental results, using four light sources which are located symmetrically under the scanning line can be recovered object shape and color accurately, and it is suitable for the actual shape scanner.