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Robust, fast and flexible symmetry plane detection based on differentiable symmetry measure

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F22%3A43964309" target="_blank" >RIV/49777513:23520/22:43964309 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/article/10.1007/s00371-020-02034-w" target="_blank" >https://link.springer.com/article/10.1007/s00371-020-02034-w</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s00371-020-02034-w" target="_blank" >10.1007/s00371-020-02034-w</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Robust, fast and flexible symmetry plane detection based on differentiable symmetry measure

  • Original language description

    Reflectional symmetry is a potentially very useful feature which many real-world objects exhibit. It is instrumental in a variety of applications such as object alignment, compression, symmetrical editing or reconstruction of incomplete objects. In this paper, we propose a novel differentiable symmetry measure, which allows using gradient-based optimization to find symmetry in geometric objects. We further propose a new method for symmetry plane detection in 3D objects based on this idea. The method performs well on perfectly as well as approximately symmetrical objects, it is robust to noise and to missing parts. Furthermore, it works on discrete point sets and therefore puts virtually no constraints on the input data. Due to flexibility of the symmetry measure, the method is also easily extensible, e.g., by adding more information about the input object and using it to further improve its performance. The proposed method was tested with very good results on many objects, including incomplete objects and noisy objects, and was compared to other state-of-the-art methods which it outperformed in most aspects

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • 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

    <a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    The Visual Computer

  • ISSN

    0178-2789

  • e-ISSN

    1432-2315

  • Volume of the periodical

    38

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    17

  • Pages from-to

    555-571

  • UT code for WoS article

    000605494100001

  • EID of the result in the Scopus database

    2-s2.0-85099016304