Browsing by Author "Romanengo, Chiara"

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    Recognition, Modelling and Interactive Manipulation of Motifs or Symbols Represented by a Composition of Curves
    (The Eurographics Association, 2020) Romanengo, Chiara; Brunetto, Erika; Biasotti, Silvia; Catalano, Chiara Eva; Falcidieno, Bianca; Biasotti, Silvia and Pintus, Ruggero and Berretti, Stefano
    In this work we introduce a method for the recognition, modelling and interactive manipulation of graphical motifs, symbols or artistic elements that are represented by a composition of plane curves. Our method bases on Hough transform (HT) concepts, in particular on its generalisation to algebraic curves. We recognise complex curves and their compositions starting from images or point clouds, we represent them in implicit or parametric form, and their parameters are calculated together with their relationships. Besides the recognition of curves and modelling by algebraic equations, we propose a visualisation and manipulation tool developed on a multi-touch table. The objective of this application is to support an interactive manipulation of any geometric motifs or symbols with or without imposing the constraints derived from the identified relations among the curve parameters. Finally, we validate the proposed method showing its application to three detailed case studies, which differ in type and creation mode.
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    SHREC 2023: Detection of Symmetries on 3D Point Clouds Representing Simple Shapes
    (The Eurographics Association, 2023) Sipiran, Ivan; Romanengo, Chiara; Falcidieno, Bianca; Biasotti, Silvia; Arvanitis, Gerasimos; Chen, Chen; Fotis, Vlassis; He, Jianfang; Lv, Xiaoling; Moustakas, Konstantinos; Peng, Silong; Romanelis, Ioannis; Sun, Wenhao; Vlachos, Christoforos; Wu, Ziyu; Xie, Qiong; Fugacci, Ulderico; Lavoué, Guillaume; Veltkamp, Remco C.
    This paper presents the methods that participated in the SHREC 2023 track focused on detecting symmetries on 3D point clouds representing simple shapes. By simple shapes, we mean surfaces generated by different types of closed plane curves used as the directrix of a cylinder or a cone. This track aims to determine the reflective planes for each point cloud. The methods are evaluated in their capability of detecting the right number of symmetries and correctly identifying the reflective planes. To this end, we generated a dataset that contains point clouds representing simple shapes perturbed with different kinds of artefacts (such as noise and undersampling) to provide a thorough evaluation of the robustness of the algorithms.