Integral 3D Contents Production from Multi-View Images: 3D Modeling and 3D Image Conversion of Sports Scene

Abstract

In this paper, we propose a method of model-based integral 3D contents production from multi-view images to produce integral 3D contents of sports scenes in TV programs. In this method, we use a depth estimation method with belief propagation to create 3D models at each view point of multi-view images and convert these models into an integral 3D image. The remarkable feature of our method is that it uses the energy distribution kurtosis of belief propagation to inhibit the effects of depth estimation errors. We estimate the reliability of the depth estimation results by the energy distribution kurtosis and create an integral 3D image that inhibits the effect of depth estimation errors by integrating 3D model parts with high reliability. In experiments, we focus on sumo wrestling scenes in a TV program and create unprecedented integral 3D contents of the sports scenes.