@inproceedings{f29e8cf13f874e53a94084b16453f4a6,
title = "The multiscale line segment detector",
abstract = "We propose a multiscale extension of a well-known line segment detector, LSD. We show that its multiscale nature makes it much less susceptible to over-segmentation and more robust to low contrast and less sensitive to noise, while keeping the parameter-less advantage of LSD and still being fast. We also present here a dense gradient filter that disregards regions in which lines are likely to be irrelevant. As it reduces line mismatches, this filter improves the robustness of the application to structure-from-motion. It also yields a faster detection.",
author = "Yohann Sala{\"u}n and Renaud Marlet and Pascal Monasse",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 1st Workshop on Reproducible Research in Pattern Recognition, RRPR 2016 ; Conference date: 04-12-2016 Through 04-12-2016",
year = "2017",
month = jan,
day = "1",
doi = "10.1007/978-3-319-56414-2\_12",
language = "English",
isbn = "9783319564135",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "167--178",
editor = "Miguel Colom and Bertrand Kerautret and Pascal Monasse",
booktitle = "Reproducible Research in Pattern Recognition - 1st International Workshop, RRPR 2016, Revised Selected Papers",
}