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Conference papers

Non-rigid shape registration using curvature information

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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Contributor : Beatriz Marcotegui Connect in order to contact the contributor
Submitted on : Friday, January 18, 2019 - 10:56:37 AM
Last modification on : Wednesday, November 17, 2021 - 12:27:16 PM


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  • HAL Id : hal-01985658, version 1


Albane Borocco, Beatriz Marcotegui. Non-rigid shape registration using curvature information. 14th International Conference on Computer Vision Theory and Applications, Feb 2019, Prague, Czech Republic. ⟨hal-01985658⟩



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