Depth Estimation from Three Cameras Using Belief Propagation: 3D Modelling of Sumo Wrestling

Abstract

We propose a method to estimate depth from three wide-baseline camera images using belief propagation. With this method, message propagation is restricted to reduce the effects of boundary overreach, and max and min values and kurtosis of message energy distribution are used to reduce errors caused by large occlusion and texture less areas. In experiments, we focused on scenes of the traditional Japanese sport of sumo and created 3D models from three HD images using our method. We displayed them on a 3D display using the principle of integral photography (IP). We confirmed from the experimental results that our method was effective for estimating depth.