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    Shape registration with directional data


    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:

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