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Fast Approximate Symmetry Plane Computation as a Density Peak of Candidates

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F25%3A43975329" target="_blank" >RIV/49777513:23520/25:43975329 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.scitepress.org/PublicationsDetail.aspx?ID=2t9l4W6Pzio=&t=1" target="_blank" >https://www.scitepress.org/PublicationsDetail.aspx?ID=2t9l4W6Pzio=&t=1</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5220/0013119200003912" target="_blank" >10.5220/0013119200003912</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Fast Approximate Symmetry Plane Computation as a Density Peak of Candidates

  • Original language description

    Symmetry is a common characteristic exhibited by both natural and man-made objects. This property can be used in various applications in computer vision and computer graphics. There are various types of symmetries, amongst the most prominent belong reflection symmetries and rotation symmetries. In this paper, a method focusing on the fast detection of approximate reflection symmetry of a 3D point cloud with respect to a plane is proposed. The method is based on the creation of a set of candidates that are represented as rigid transformations, and have assigned weights, reflecting the estimated quality of the candidate. The final symmetry plane corresponds to a density peak in the transformation space. The method is demonstrated to be able to find symmetry planes in various objects in 3D, with its main benefit being the speed of the computation.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

  • ISBN

    978-989-758-728-3

  • ISSN

    2184-4321

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    185-192

  • Publisher name

    SciTePress

  • Place of publication

    Setúbal

  • Event location

    Porto

  • Event date

    Feb 26, 2025

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article