3D Object Reconstruction with a Single RGB-Depth Image

Silvia Rodríguez-Jiménez, Nicolas Burrus, Mohamed Abderrahim

2013

Abstract

This paper presents a fast method for acquiring 3D models of unknown objects lying on a table, using a single viewpoint. The proposed algorithm is able to reconstruct a full model using a single RGB + Depth image, such as those provided by available low-cost range cameras. It estimates the hidden parts by exploiting the geometrical properties of everyday objects, and combines depth and color information for a better segmentation of the object of interest. A quantitative evaluation on a set of 12 common objects shows that our approach is not only simple and effective, but also the reconstructed model is accurate enough for tasks such as robotic grasping.

Paper Citation

in Harvard Style

Rodríguez-Jiménez S., Burrus N. and Abderrahim M. (2013). 3D Object Reconstruction with a Single RGB-Depth Image . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-48-8, pages 155-163. DOI: 10.5220/0004286401550163

in Bibtex Style

@conference{visapp13,
author={Silvia Rodríguez-Jiménez and Nicolas Burrus and Mohamed Abderrahim},
title={3D Object Reconstruction with a Single RGB-Depth Image},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={155-163},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004286401550163},
isbn={978-989-8565-48-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)
TI - 3D Object Reconstruction with a Single RGB-Depth Image
SN - 978-989-8565-48-8
AU - Rodríguez-Jiménez S.
AU - Burrus N.
AU - Abderrahim M.
PY - 2013
SP - 155
EP - 163
DO - 10.5220/0004286401550163