Grogan, Mairéad and Dahyot, Rozenn (2018) Shape registration with directional data. Pattern Recognition, 79. pp. 452-466. ISSN 0031-3203

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Abstract

We propose several cost functions for registration of shapes encoded with Euclidean and/or non-Euclidean information (unit vectors). Our framework is assessed for estimation of both rigid and non-rigid transformations between the target and model shapes corresponding to 2D contours and 3D surfaces. The experimental results obtained confirm that using the combination of a point’s position and unit normal vector in a cost function can enhance the registration results compared to state of the art methods.

Item Type:	Article
Keywords:	Shape registration; Directional information; Von Mises-Fisher; L2 registration;
Academic Unit:	Faculty of Science and Engineering > Computer Science Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	15106
Identification Number:	https://doi.org/10.1016/j.patcog.2018.02.021
Depositing User:	Rozenn Dahyot
Date Deposited:	07 Dec 2021 16:25
Journal or Publication Title:	Pattern Recognition
Publisher:	Elsevier
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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