LSDNet: Trainable Modification of LSD Algorithm for Real-Time Line Segment Detection

As of today, the best accuracy in line segment detection (LSD) is achieved by algorithms based on convolutional neural networks – CNNs. Unfortunately, these methods utilize deep, heavy networks and are slower than traditional model-based detectors. In this paper we build an accurate yet f...

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Hauptverfasser: Lev Teplyakov, Leonid Erlygin, Evgeny Shvets
Format: Artigo
Sprache:Inglês
Veröffentlicht: IEEE 2022-01-01
Schriftenreihe:IEEE Access
Schlagworte:
Convolutional neural networks
edge detection
line segment detection
U-net
LSD
Online Zugang:https://ieeexplore.ieee.org/document/9761231/
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