Publication result detail

Detection of Symmetric Features in Images

HORÁK, K.

Original Title

Detection of Symmetric Features in Images

English Title

Detection of Symmetric Features in Images

Type

Paper in proceedings (conference paper)

Original Abstract

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.

English abstract

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.

Keywords

Feature point, Mirror Symmetry, Point of Interest, Rotational Symmetry, Symmetry.

Key words in English

Feature point, Mirror Symmetry, Point of Interest, Rotational Symmetry, Symmetry.

Authors

HORÁK, K.

RIV year

2014

Released

02.07.2013

ISBN

978-1-4799-0402-0

Book

The Conference Proceedings of the 36th International Conference on Telecommunications and Signal Processing

Pages from

895

Pages to

899

Pages count

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"
}