Algorithm for dynamic 3D object generation from multi-viewpoint images

Abstract

In this paper, we present a high-resolution dynamic 3D object generating method from multi-viewpoint images. This dynamic 3D object can display fine images of the moving human body form arbitrary viewpoints, and consists of subject's 3D model generated for each video frame. To create a high-resolution dynamic 3D object, we propose a 3D-model-generation method from multi-viewpoint images. The method uses stereo matching to refine an approximate 3D model obtained by the volume intersection method. Furthermore, to reproduce high-resolution textures, we have developed a new technique which obtains the visibility of vertices and polygons of 3D models. A modeling experiment performed with 19 fire-wire cameras confirmed that the proposed method effectively generates high-resolution dynamic 3D objects.