Estimating object deformations is important in various industrial applications, such as material testing or object shape control. However, existing methods assume smooth or gradual deformations and thus face a significant challenge when it comes to sudden changes in an object’s shape. In this paper, we propose a novel approach using our FMM-based contour mapping framework to estimate the deformation mesh of texture-less objects that experience abrupt shape changeslysing the contour’s geometry, we compute a map between the contours of consecutive deformation states, which we use as input to update the deformation mesh. Our experiments and comparisons demonstrate the effectiveness of our method in handling abrupt deformations and accurately estimating the object’s deformation mesh.


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    Titel :

    Elastic Contour Mapping for the Estimation of Abrupt Shape Deformations


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Marques, Lino (Herausgeber:in) / Santos, Cristina (Herausgeber:in) / Lima, José Luís (Herausgeber:in) / Tardioli, Danilo (Herausgeber:in) / Ferre, Manuel (Herausgeber:in) / Cuiral-Zueco, Ignacio (Autor:in) / López-Nicolás, Gonzalo (Autor:in)

    Kongress:

    Iberian Robotics conference ; 2023 ; Coimbra, Portugal November 22, 2023 - November 24, 2023



    Erscheinungsdatum :

    27.04.2024


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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