Images based human volumetric model reconstruction and animation

Abstract

In this paper, we present an approach for human model reconstruction from a set of pictures. We take a set of pictures around the medical human model using a digital camera. Through calibration, we obtain the intrinsic parameters and extrinsic parameters, and compute the projective matrix of each image. After pre-processing the images, we reconstruct the human model from images according to the shape from silhouettes, using marching cubes algorithm to get the mesh model. We the smoothed and simplified mesh model. Finally, we rig the skeleton to the mesh automatically and drive it using motion capture data.