Multiple cameras based method to reconstruct the 3D shape of humans ’ foot

Abstract—This article describes a multiple camera based method to reconstruct a 3D shape of a human foot. From a feet database, an initial 3D model of the foot represented by a cloud of points is built. In addition, some shape parameters, which characterize any foot at more than 92%, are defined by using Principal Component Analysis. Then, the initial 3D model is adapted to the foot of interest captured in multiple images based on ”active shape models ” methods by applying some constraints (edge points ’ distance, color variance for example). In this article, we also describe the experimental system that is developed for demonstrating the effectiveness of the proposed method. Using the experimental system, we demonstrate that the texture pattern projection on the surface of the object foot is efficient to improve the accuracy of the reconstructed shape by applying the proposed method to a plastic foot model and several real humans ’ foot.We finally perform a last experiment where the number of cameras is increased, and propose a method to quantify the accuracy of the reconstructed shape. I