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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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