Conference paper

BAŘINA David. Wavelet Transform Based Feature Detection. In: Proceedings of the 16th Conference STUDENT EEICT 2010. Brno: Brno University of Technology, 2010, pp. 208-212. ISBN 978-80-214-4080-7.
Publication language:english
Original title:Wavelet Transform Based Feature Detection
Title (cs):Detekce příznaků založená na vlnkové transformaci
Pages:208-212
Proceedings:Proceedings of the 16th Conference STUDENT EEICT 2010
Conference:Student EEICT 2010
Series:Volume 5
Place:Brno, CZ
Year:2010
ISBN:978-80-214-4080-7
Publisher:Brno University of Technology
URL:http://www.feec.vutbr.cz/EEICT/2010/sbornik/03-Doktorske_projekty/08-Grafika_a_multimedia/01-xbarin02.pdf [PDF]
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Keywords
wavelet transform, feature detection
Annotation
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.
Abstract
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.
BibTeX:
@INPROCEEDINGS{
   author = {David Ba{\v{r}}ina},
   title = {Wavelet Transform Based Feature Detection},
   pages = {208--212},
   booktitle = {Proceedings of the 16th Conference STUDENT EEICT 2010},
   series = {Volume 5},
   year = {2010},
   location = {Brno, CZ},
   publisher = {Brno University of Technology},
   ISBN = {978-80-214-4080-7},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9213}
}

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