@inproceedings{632b5949f02244ae90b7b77f00997cc0,
title = "An accurate and contrast invariant junction detector",
abstract = "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.",
author = "Xia, \{Gui Song\} and Julie Delon and Yann Gousseau",
year = "2012",
month = jan,
day = "1",
language = "English",
isbn = "9784990644109",
series = "Proceedings - International Conference on Pattern Recognition",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2780--2783",
booktitle = "ICPR 2012 - 21st International Conference on Pattern Recognition",
note = "21st International Conference on Pattern Recognition, ICPR 2012 ; Conference date: 11-11-2012 Through 15-11-2012",
}