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Conference Papers Year : 2017

The Multiscale Line Segment Detector


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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Dates and versions

hal-01571615 , version 1 (03-08-2017)



Yohann Salaün, Renaud Marlet, Pascal Monasse. The Multiscale Line Segment Detector. 1st Workshop on Reproducible Research in Pattern Recognition, Dec 2016, Cancun, Mexico. pp.167 - 178, ⟨10.1007/978-3-319-56414-2_12⟩. ⟨hal-01571615⟩
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