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Authors: Trung-Thien Tran ; Van-Toan Cao and Denis Laurendeau

Affiliation: Laval University, Canada

ISBN: 978-989-758-175-5

Keyword(s): Plane, Cylinder, Sphere, Primitive-based Alignment, Rigid Registration, Coarse Registration.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Fundamental Methods and Algorithms ; Geometry and Modeling ; Modeling and Algorithms ; Scene and Object Modeling

Abstract: Rigid registration is an important step in 3D scanning and modeling of manufactured objects that are generally composed of a combination of basic geometric primitives such as planes, spheres, cylinders, etc. In this paper, an efficient and robust method is proposed to align two basic geometric primitives. The transformation between two primitives is found by minimizing the parameter error between primitive correspondences. The approach applies an interior-point method and a new objective function to achieve good results. Compared to previous primitive-based alignment approach proposed by Rabbani et al. (Rabbani et al., 2007), the presented approach achieves better results in terms of convergence and accuracy. Finally, the proposed method is used in various applications such as data completion and primitive-based registration for quality control and inspection.

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Paper citation in several formats:
Tran, T.; Cao, V. and Laurendeau, D. (2016). 3D Geometric Primitive Alignment Revisited.In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 91-98. DOI: 10.5220/0005715800890096

@conference{grapp16,
author={Trung{-}Thien Tran. and Van{-}Toan Cao. and Denis Laurendeau.},
title={3D Geometric Primitive Alignment Revisited},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2016)},
year={2016},
pages={91-98},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005715800890096},
isbn={978-989-758-175-5},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2016)
TI - 3D Geometric Primitive Alignment Revisited
SN - 978-989-758-175-5
AU - Tran, T.
AU - Cao, V.
AU - Laurendeau, D.
PY - 2016
SP - 91
EP - 98
DO - 10.5220/0005715800890096

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