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

Affiliation: Faculty of Science and Engineering and Laval University, Canada

Keyword(s): Non-rigid Registration, Deformation, Correspondence, Alignment, Parameterization.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Geometric Computing ; Geometry and Modeling ; Modeling and Algorithms ; Scene and Object Modeling ; Surface Modeling

Abstract: In this paper we present a method for non-rigid registration of meshes. The method aligns two surfaces of deformable objects by automatically separating the deformation into a single global transformation and other local deformations. The local deformations are found by applying the deformation model proposed by Sumner (Sumner et al., 2007) that previous methods have used to register two surfaces. However, we specify a rigid transformation for each node of the deformation graph using a rotation matrix and a translation vector. With this model, unit quaternions of rotation matrices are paramterized using an homeomorphic relation between the 4D unit sphere and the 3D projective space. Therefore, the number of unknowns is reduced by half compared to the original models based on affine transformations and the optimization process is less complex. We demonstrate the efficiency of the proposed method by aligning the surfaces of data sets without any prior knowledge and assumptions about th e deformation between the two surfaces. (More)

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Paper citation in several formats:
Cao, V.; Tran, T. and Laurendeau, D. (2016). Re-parameterization of a Deformation Model for Non-rigid Registration. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - GRAPP; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 39-49. DOI: 10.5220/0005714300370047

@conference{grapp16,
author={Van{-}Toan Cao. and Trung{-}Thien Tran. and Denis Laurendeau.},
title={Re-parameterization of a Deformation Model for Non-rigid Registration},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - GRAPP},
year={2016},
pages={39-49},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005714300370047},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - GRAPP
TI - Re-parameterization of a Deformation Model for Non-rigid Registration
SN - 978-989-758-175-5
IS - 2184-4321
AU - Cao, V.
AU - Tran, T.
AU - Laurendeau, D.
PY - 2016
SP - 39
EP - 49
DO - 10.5220/0005714300370047
PB - SciTePress