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An accurate and contrast invariant junction detector

Xia, Gui-Song; Delon, Julie; Gousseau, Yann (2012), An accurate and contrast invariant junction detector, 21st International Conference on Pattern Recognition (ICPR), 2012 - proceedings, IEEE, p. 2780-2783

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Type
Communication / Conférence
Date
2012
Conference title
21st International Conference on Pattern Recognition (ICPR), 2012
Conference date
2012-11
Conference city
Tsukuba
Conference country
Japon
Book title
21st International Conference on Pattern Recognition (ICPR), 2012 - proceedings
Publisher
IEEE
ISBN
978-1-4673-2216-4
Pages
2780-2783
Metadata
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Author(s)
Xia, Gui-Song
Delon, Julie
Gousseau, Yann
Abstract (EN)
This paper introduces a generic method for the accurate analysis of junctions, relying on a statistical modeling of normalized image gradients. We analyze junctions as local visual events that do not happen by chance under a background model derived from the a-contrario methodology. The method not only provides thresholds for the detection of junctions, but also enables their accurate characterization, including a precise computation of their type, localization, scale and geometrical configuration. The efficiency of the method is evaluated through various experiments.
Subjects / Keywords
junctions