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Authors: Yulan Guo ; Jianwei Wan ; Jun Zhang ; Ke Xu and Min Lu

Affiliation: National University of Defense Technology, China

ISBN: 978-989-758-002-4

Keyword(s): Range Image, 3D Modeling, Local Feature, Feature Matching, Registration.

Related Ontology Subjects/Areas/Topics: Applications ; CAGD/CAD/CAM Systems ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image-Based Modeling ; Modeling and Algorithms ; Pattern Recognition ; Scene and Object Modeling ; Software Engineering ; Surface Modeling

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 o utperformed the state-of-the-arts including the spanning tree based and connected graph based algorithms. (More)

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Paper citation in several formats:
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

@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},
}

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

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