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Authors: Albane Borocco and Beatriz Marcotegui

Affiliation: MINES ParisTech, PSL Research University, CMM - Centre for Mathematical Morphology, 35, rue St. Honore, 77305 Fontainebleau and France

ISBN: 978-989-758-354-4

Keyword(s): Non-rigid Registration, Shape Registration, High Curvature, Industrial Quality Control.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Image Registration ; Shape Representation and Matching

Abstract: This paper addresses a registration problem for an industrial control application: it meets the need to registrate a model on an image of a flexible object. We propose a non-rigid shape registration approach that deals with a great disparity of the number of points in the model and in the manufactured object. We have developed a method based on a classical minimization process combining a distance term and a regularization term. We observed that, even if the control points fall on the object boundary, the registration failed on high curvature points. In this paper we add a curvature-based term in order to improve the registration on object extremities. We validate our approach on a real industrial application. The addition of this curvature term reduces by two the error of the inner boundaries location on the previously problematic cases of our database.

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Paper citation in several formats:
Borocco, A. and Marcotegui, B. (2019). Non-rigid Shape Registration using Curvature Information.In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP, ISBN 978-989-758-354-4, pages 334-340. DOI: 10.5220/0007354903340340

@conference{visapp19,
author={Albane Borocco. and Beatriz Marcotegui.},
title={Non-rigid Shape Registration using Curvature Information},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP,},
year={2019},
pages={334-340},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007354903340340},
isbn={978-989-758-354-4},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP,
TI - Non-rigid Shape Registration using Curvature Information
SN - 978-989-758-354-4
AU - Borocco, A.
AU - Marcotegui, B.
PY - 2019
SP - 334
EP - 340
DO - 10.5220/0007354903340340

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