The multiscale line segment detector

Yohann Salaün; Renaud Marlet; Pascal Monasse

doi:10.1007/978-3-319-56414-2_12

The multiscale line segment detector

Yohann Salaün
, Renaud Marlet
, Pascal Monasse

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Reproducible Research in Pattern Recognition - 1st International Workshop, RRPR 2016, Revised Selected Papers
Editors	Miguel Colom, Bertrand Kerautret, Pascal Monasse
Publisher	Springer Verlag
Pages	167-178
Number of pages	12
ISBN (Print)	9783319564135
DOIs	https://doi.org/10.1007/978-3-319-56414-2_12
Publication status	Published - 1 Jan 2017
Externally published	Yes
Event	1st Workshop on Reproducible Research in Pattern Recognition, RRPR 2016 - Cancun, Mexico Duration: 4 Dec 2016 → 4 Dec 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10214 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	1st Workshop on Reproducible Research in Pattern Recognition, RRPR 2016
Country/Territory	Mexico
City	Cancun
Period	4/12/16 → 4/12/16

Access to Document

10.1007/978-3-319-56414-2_12

Cite this

Salaün, Y., Marlet, R., & Monasse, P. (2017). The multiscale line segment detector. In M. Colom, B. Kerautret, & P. Monasse (Eds.), Reproducible Research in Pattern Recognition - 1st International Workshop, RRPR 2016, Revised Selected Papers (pp. 167-178). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10214 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-56414-2_12

Salaün, Yohann ; Marlet, Renaud ; Monasse, Pascal. / The multiscale line segment detector. Reproducible Research in Pattern Recognition - 1st International Workshop, RRPR 2016, Revised Selected Papers. editor / Miguel Colom ; Bertrand Kerautret ; Pascal Monasse. Springer Verlag, 2017. pp. 167-178 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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",

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Salaün, Y, Marlet, R & Monasse, P 2017, The multiscale line segment detector. in M Colom, B Kerautret & P Monasse (eds), Reproducible Research in Pattern Recognition - 1st International Workshop, RRPR 2016, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10214 LNCS, Springer Verlag, pp. 167-178, 1st Workshop on Reproducible Research in Pattern Recognition, RRPR 2016, Cancun, Mexico, 4/12/16. https://doi.org/10.1007/978-3-319-56414-2_12

The multiscale line segment detector. / Salaün, Yohann; Marlet, Renaud; Monasse, Pascal.
Reproducible Research in Pattern Recognition - 1st International Workshop, RRPR 2016, Revised Selected Papers. ed. / Miguel Colom; Bertrand Kerautret; Pascal Monasse. Springer Verlag, 2017. p. 167-178 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10214 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Y1 - 2017/1/1

N2 - 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.

AB - 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.

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DO - 10.1007/978-3-319-56414-2_12

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AN - SCOPUS:85018648553

SN - 9783319564135

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Reproducible Research in Pattern Recognition - 1st International Workshop, RRPR 2016, Revised Selected Papers

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Salaün Y, Marlet R, Monasse P. The multiscale line segment detector. In Colom M, Kerautret B, Monasse P, editors, Reproducible Research in Pattern Recognition - 1st International Workshop, RRPR 2016, Revised Selected Papers. Springer Verlag. 2017. p. 167-178. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-56414-2_12

The multiscale line segment detector

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