Line Segment Detection
20 papers with code • 2 benchmarks • 6 datasets
Benchmarks
These leaderboards are used to track progress in Line Segment Detection
| Trend | Dataset | Best Model | Paper | Code | Compare |
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Wireframe
KAIST Urban
York Urban Line Segment Database
WaterScenes
BN-HTRd
ICDAR 2021
Latest papers
Level-line Guided Edge Drawing for Robust Line Segment Detection
Line segment detection plays a cornerstone role in computer vision tasks.
DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients
cvg/deeplsd
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CVPR 2023
Their learned counterparts are more repeatable and can handle challenging images, but at the cost of a lower accuracy and a bias towards wireframe lines.
Detecting Line Segments in Motion-blurred Images with Events
lh9171338/FE-LSD
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To robustly detect line segments over motion blurs, we propose to leverage the complementary information of images and events.
LSDNet: Trainable Modification of LSD Algorithm for Real-Time Line Segment Detection
We point out systematic inconsistencies in the annotations of popular line detection benchmarks - Wireframe and York Urban, carefully reannotate a subset of images and show that (i) existing detectors have improved quality on updated annotations without retraining, suggesting that new annotations correlate better with the notion of correct line segment detection; (ii) the gap between accuracies of our detector and others diminishes to negligible 0. 2 Fh , with our method being the fastest.
Semantic Room Wireframe Detection from a Single View
Reconstruction of indoor surfaces with limited texture information or with repeated textures, a situation common in walls and ceilings, may be difficult with a monocular Structure from Motion system.
ELSED: Enhanced Line SEgment Drawing
Detecting local features, such as corners, segments or blobs, is the first step in the pipeline of many Computer Vision applications.
Towards Light-weight and Real-time Line Segment Detection
navervision/mlsd
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In this paper, we propose a real-time and light-weight line segment detector for resource-constrained environments named Mobile LSD (M-LSD).
ICDAR 2021 Competition on Historical Map Segmentation
Task~2 consists in segmenting map content from the larger map sheet, and was won by the UWB team using a U-Net-like FCN combined with a binarization method to increase detection edge accuracy.
Fully Convolutional Line Parsing
We conduct extensive experiments and show that our method achieves a significantly better trade-off between efficiency and accuracy, resulting in a real-time line detector at up to 73 FPS on a single GPU.
Line Segment Detection Using Transformers without Edges
In this paper, we present a joint end-to-end line segment detection algorithm using Transformers that is post-processing and heuristics-guided intermediate processing (edge/junction/region detection) free.
