Non‐rigid registration computes an alignment between a source surface with a target
surface in a non‐rigid manner. In the past decade, with the advances in 3D sensing …

In this paper we present a complete pipeline to create ready-to-animate virtual humans by
fitting a template character to a point set obtained by scanning a real person using multi …

In this paper, we present a method for automated estimation of a human face given a skull
remain. Our proposed method is based on three statistical models. A volumetric (tetrahedral) …

The acquisition of 3D facial models is crucial in the gaming and film industries. In this study,
we developed a facial acquisition system based on infrared structured light sensors to obtain …

This paper introduces an automated 3D-reconstruction method for generating high-quality
virtual humans from monocular smartphone cameras. The input of our approach are two …

Shape retrieval and alignment are a promising avenue towards turning 3D scans into
lightweight CAD representations that can be used for content creation such as mobile or …

Non-rigid registration of deformed 3D shapes is a challenging and fundamental task in
geometric processing, which aims to non-rigidly deform a source shape into alignment with …

We present a method for modeling solid objects undergoing large spatially varying and/or
anisotropic strains, and use it to reconstruct human anatomy from medical images. Our novel …

Offline facial retargeting, ie, transferring facial expressions from a source to a target
character, is a common production task that still regularly leads to considerable algorithmic …

We present a bidirectional facial reconstruction method for estimating the skull given a scan
of the skin surface and vice versa estimating the skin surface given the skull. Our approach …