Deeplsd: Line segment detection and refinement with deep image gradients
Line segments are ubiquitous in our human-made world and are increasingly used in vision
tasks. They are complementary to feature points thanks to their spatial extent and the …
tasks. They are complementary to feature points thanks to their spatial extent and the …
A comprehensive review of image line segment detection and description: Taxonomies, comparisons, and challenges
An image line segment is a fundamental low-level visual feature that delineates straight,
slender, and uninterrupted portionsof objects and scenarios within images. Detection and …
slender, and uninterrupted portionsof objects and scenarios within images. Detection and …
Holistically-attracted wireframe parsing: From supervised to self-supervised learning
This article presents Holistically-Attracted Wireframe Parsing (HAWP), a method for
geometric analysis of 2D images containing wireframes formed by line segments and …
geometric analysis of 2D images containing wireframes formed by line segments and …
Learning for mismatch removal via graph attention networks
Recovering camera pose from two-view images is a critical problem in photogrammetry and
computer vision. For complex scenarios, point correspondences that are constructed by off …
computer vision. For complex scenarios, point correspondences that are constructed by off …
SuperLine3D: Self-supervised line segmentation and description for LiDAR point cloud
Poles and building edges are frequently observable objects on urban roads, conveying
reliable hints for various computer vision tasks. To repetitively extract them as features and …
reliable hints for various computer vision tasks. To repetitively extract them as features and …
Structural asymmetric convolution for wireframe parsing
J Zhang, J Yang, F Fu, J Ma - Engineering Applications of Artificial …, 2024 - Elsevier
Simultaneously extracting junctions and their corresponding line segments from images
presents a promising approach to structural environment cognition. However, conventional …
presents a promising approach to structural environment cognition. However, conventional …
LineFit: A Geometric Approach for Fitting Line Segments in Images
M Boyer, D Youssefi, F Lafarge - European Conference on Computer …, 2025 - Springer
We present LineFit, an algorithm that fits line segments from a predicted image gradient
map. While existing detectors aim at capturing line segments on line-like structures, our …
map. While existing detectors aim at capturing line segments on line-like structures, our …
MLNet: An multi-scale line detector and descriptor network for 3D reconstruction
Deep learning-based line detectors and descriptors have gained significant attention in
computer vision. While most existing methods prioritize detecting repeatable line features …
computer vision. While most existing methods prioritize detecting repeatable line features …
Pose refinement with joint optimization of visual points and lines
High-precision camera re-localization technology in a pre-established 3D environment map
is the basis for many tasks, such as Augmented Reality, Robotics and Autonomous Driving …
is the basis for many tasks, such as Augmented Reality, Robotics and Autonomous Driving …
Airslam: An efficient and illumination-robust point-line visual slam system
In this paper, we present an efficient visual SLAM system designed to tackle both short-term
and long-term illumination challenges. Our system adopts a hybrid approach that combines …
and long-term illumination challenges. Our system adopts a hybrid approach that combines …