Result Details

Wavelet Transform Based Feature Detection

BAŘINA, D. Wavelet Transform Based Feature Detection. Proceedings of the 16th Conference STUDENT EEICT 2010. Volume 5. Brno: Brno University of Technology, 2010. p. 208-212. ISBN: 978-80-214-4080-7.
Type
conference paper
Language
English
Authors
Bařina David, Ing., Ph.D., DCGM (FIT)
Abstract

The subject of this contribution is to demonstrate the procedure of interest point detection using partial derivatives obtained in some level of stationary wavelet decomposition.

Keywords

wavelet transform, feature detection

URL
Annotation
This paper presents a new method of the local image feature detection. The method is based on a corner detection on top of a stationary wavelet transform. The point of this method is that the corner detector is applied on partial derivatives obtained from the wavelet transform. Thus, edges are obtained at different scales. A position of the detected corner can be estimated with sub-pixel accuracy. The proposed method can be used as part of a robust feature extractor.
Published
2010
Pages
208–212
Proceedings
Proceedings of the 16th Conference STUDENT EEICT 2010
Series
Volume 5
Conference
Student EEICT 2010
ISBN
978-80-214-4080-7
Publisher
Brno University of Technology
Place
Brno
BibTeX 
@inproceedings{BUT34735,
  author="David {Bařina}",
  title="Wavelet Transform Based Feature Detection",
  booktitle="Proceedings of the 16th Conference STUDENT EEICT 2010",
  year="2010",
  series="Volume 5",
  pages="208--212",
  publisher="Brno University of Technology",
  address="Brno",
  isbn="978-80-214-4080-7",
  url="https://www.fit.vut.cz/research/publication/9213/"
}
Files
Projects
Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running
Departments
Department of Computer Graphics and Multimedia (DCGM)
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