Efficient Registration of Multiple Range Images for Fully Automatic 3D Modeling

Yulan Guo, Jianwei Wan, Jun Zhang, Ke Xu, Min Lu

2014

Abstract

Multi-view range image registration is a significant and challenging problem for 3D modeling. This paper presents a reference shape based multi-view range image registration algorithm. First, a set of Rotational Projection Statistics (RoPS) features are extracted from the input range images. Next, the reference shape is initialized by selecting a range image from the input. The reference shape is then iteratively updated by registering itself with the remaining range images. The registration between the reference shape and any range image is completed by RoPS feature matching. Finally, all input range images are registered according to their corresponding reference shapes. A number of experiments were performed to test the performance of our algorithm. The experimental results show that the reference shape based algorithm can perform multi-view registration on a mixed set of unordered range images corresponding to several different objects. It is also very accurate and efficient. It outperformed the state-of-the-arts including the spanning tree based and connected graph based algorithms.

Paper Citation

in Harvard Style

Guo Y., Wan J., Zhang J., Xu K. and Lu M. (2014). Efficient Registration of Multiple Range Images for Fully Automatic 3D Modeling . In Proceedings of the 9th International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2014) ISBN 978-989-758-002-4, pages 96-103. DOI: 10.5220/0004667200960103

in Bibtex Style

@conference{grapp14,
author={Yulan Guo and Jianwei Wan and Jun Zhang and Ke Xu and Min Lu},
title={Efficient Registration of Multiple Range Images for Fully Automatic 3D Modeling},
booktitle={Proceedings of the 9th International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2014)},
year={2014},
pages={96-103},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004667200960103},
isbn={978-989-758-002-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2014)
TI - Efficient Registration of Multiple Range Images for Fully Automatic 3D Modeling
SN - 978-989-758-002-4
AU - Guo Y.
AU - Wan J.
AU - Zhang J.
AU - Xu K.
AU - Lu M.
PY - 2014
SP - 96
EP - 103
DO - 10.5220/0004667200960103