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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.
  • 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. (en)
Title
  • Detection of Symmetric Features in Images
  • Detection of Symmetric Features in Images (en)
skos:prefLabel
  • Detection of Symmetric Features in Images
  • Detection of Symmetric Features in Images (en)
skos:notation
  • RIV/00216305:26220/13:PU104220!RIV14-TA0-26220___
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  • P(TE01020197), S
http://linked.open...vai/riv/dodaniDat
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  • 68746
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  • RIV/00216305:26220/13:PU104220
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  • Feature point, Mirror Symmetry, Point of Interest, Rotational Symmetry, Symmetry. (en)
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  • [35C4CCB6FFC5]
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  • Rome
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  • Neuveden
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  • The Conference Proceedings of the 36th International Conference on Telecommunications and Signal Processing
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  • Horák, Karel
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number of pages
http://bibframe.org/vocab/doi
  • 10.1109/TSP.2013.6614069
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  • Neuveden
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  • 978-1-4799-0402-0
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  • 26220
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