Detection of Symmetric Features in Images

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU104220" target="_blank" >RIV/00216305:26220/13:PU104220 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/TSP.2013.6614069" target="_blank" >http://dx.doi.org/10.1109/TSP.2013.6614069</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP.2013.6614069" target="_blank" >10.1109/TSP.2013.6614069</a>

Result language
angličtina
Original language name
Detection of Symmetric Features in Images
Original language description
Features detection plays a significant role in many computer vision tasks. There exist a plenty of various methods for features detection in an image processing domain. Symmetric features form a substantial class of them which takes an advantage of robust approach and fast implementation. In this paper a basic concept of a mirror and rotational symmetry is introduced and several implementation aspects are discussed. Symmetry detection process is transparently compared to the selected standard approach and results are demonstrated on the rotational symmetry task.
Czech name
—
Czech description
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Project
<a href="/en/project/TE01020197" target="_blank" >TE01020197: Centre for Applied Cybernetics 3</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
The Conference Proceedings of the 36th International Conference on Telecommunications and Signal Processing
ISBN
978-1-4799-0402-0
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
895-899
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Rome
Event date
Jul 2, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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