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HORÁK, K.
Originální název
Detection of Symmetric Features in Images
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
Feature point, Mirror Symmetry, Point of Interest, Rotational Symmetry, Symmetry.
Autoři
Rok RIV
2013
Vydáno
2. 7. 2013
ISBN
978-1-4799-0402-0
Kniha
The Conference Proceedings of the 36th International Conference on Telecommunications and Signal Processing
Strany od
895
Strany do
899
Strany počet
5
BibTex
@inproceedings{BUT100455, author="Karel {Horák}", title="Detection of Symmetric Features in Images", booktitle="The Conference Proceedings of the 36th International Conference on Telecommunications and Signal Processing", year="2013", pages="895--899", doi="10.1109/TSP.2013.6614069", isbn="978-1-4799-0402-0" }