Pinhole-to-Projection Pyramid Subtraction for Reconstructing Non-rigid Objects from Range Images

In this paper, we propose a novel method for reconstructing the shape model of a non-rigid object. We represent the non-rigid object as the union of rigid components, and acquire range images of the object and motion of each component while the object varies its shape. We acquire the range images using one-shot scanning, and we use marker-based motion capture for motion acquisition. Based on them, our method performs registration of the range images and assigns a shape to each component. We propose the use of the Pinhole-to-Projection Pyramid obtained from each range image to non-iteratively solve the assignment task. The effectiveness of our method is demonstrated by applying it to reconstruct the shape of a human hand.