Line Segment Detection
20 papers with code • 2 benchmarks • 6 datasets
Most implemented papers
Holistically-Attracted Wireframe Parsing
For computing line segment proposals, a novel exact dual representation is proposed which exploits a parsimonious geometric reparameterization for line segments and forms a holistic 4-dimensional attraction field map for an input image.
Learning to Parse Wireframes in Images of Man-Made Environments
To this end, we have built a very large new dataset of over 5, 000 images with wireframes thoroughly labelled by humans.
Deep Hough-Transform Line Priors
Here, we reduce the dependency on labeled data by building on the classic knowledge-based priors while using deep networks to learn features.
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.
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.
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.
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.
Detecting Line Segments in Motion-blurred Images with Events
To robustly detect line segments over motion blurs, we propose to leverage the complementary information of images and events.
DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients
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.
Level-line Guided Edge Drawing for Robust Line Segment Detection
Line segment detection plays a cornerstone role in computer vision tasks.