Line Segment Detection

20 papers with code • 2 benchmarks • 6 datasets

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Most implemented papers

Fast 3D Line Segment Detection From Unorganized Point Cloud

xiaohulugo/3DLineDetection 8 Jan 2019

This paper presents a very simple but efficient algorithm for 3D line segment detection from large scale unorganized point cloud.

TP-LSD: Tri-Points Based Line Segment Detector

MegviiRobot/TP-LSD ECCV 2020

To realize one-step detection with a faster and more compact model, we introduce the tri-points representation, converting the line segment detection to the end-to-end prediction of a root-point and two endpoints for each line segment.

ULSD: Unified Line Segment Detection across Pinhole, Fisheye, and Spherical Cameras

lh9171338/ULSD-ISPRS 6 Nov 2020

Targeting at the unified line segment detection (ULSD) for both distorted and undistorted images, we propose to represent line segments with the Bezier curve model.

Line Segment Detection Using Transformers without Edges

mlpc-ucsd/LETR CVPR 2021

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.

Fully Convolutional Line Parsing

Delay-Xili/F-Clip 22 Apr 2021

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.

Towards Light-weight and Real-time Line Segment Detection

navervision/mlsd 1 Jun 2021

In this paper, we propose a real-time and light-weight line segment detector for resource-constrained environments named Mobile LSD (M-LSD).

Learning Attraction Field Representation for Robust Line Segment Detection

cherubicXN/afm_cvpr2019 CVPR 2019

In experiments, our method is tested on the WireFrame dataset and the YorkUrban dataset with state-of-the-art performance obtained.

End-to-End Wireframe Parsing

zhou13/lcnn ICCV 2019

We conduct extensive experiments and show that our method significantly outperforms the previous state-of-the-art wireframe and line extraction algorithms.

PPGNet: Learning Point-Pair Graph for Line Segment Detection

svip-lab/PPGNet CVPR 2019

In this paper, we present a novel framework to detect line segments in man-made environments.

Sem-LSD: A Learning-based Semantic Line Segment Detector

SunLoveSheep/Sem-LSD 14 Sep 2019

Combined with high-level semantics, Sem-LS is more robust under cluttered environment compared with existing line-shaped representations.