Computer Vision & Graphics Group

Volumetric dSfM Free Dataset

 

Introduction

The ground truth datasets consist of 20-frame mesh sequences of two articulated volumetric objects over time, with corresponding monocular image sequence. The monocular image sequence was generated by rendering the synthetically generated volumetric meshes from one camera perspective. The real-world dataset consists of a monocular image sequence depicting an articulated jointed doll together with a 3D template geometry of the initial state.

Download

Synthetic data

Pixarlamp sequence
pixarlamp.zip
Sackboy sequence
sackboy.zip

Real data

Puppet sequence
puppet.zip

Requesting the data

All submitted papers or any publicly available text using the volumetric dSfM Free Dataset must cite the following paper:

Related publication

Kausch L., Hilsmann A. and Eisert P., Template-based 3D Non-Rigid Shape Estimation from Monocular Image Sequences, Proceedings of the 22nd Workshop on Vision, Modelling, and Visualization (VMV), Bonn, Germany, September 2017