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 …
3d line mapping revisited
In contrast to sparse keypoints, a handful of line segments can concisely encode the high-
level scene layout, as they often delineate the main structural elements. In addition to …
level scene layout, as they often delineate the main structural elements. In addition to …
Towards light-weight and real-time line segment detection
Previous deep learning-based line segment detection (LSD) suffers from the immense
model size and high computational cost for line prediction. This constrains them from real …
model size and high computational cost for line prediction. This constrains them from real …
[HTML][HTML] Systematic review of computer vision semantic analysis in socially assistive robotics
AVA Lundgren, MAO Santos, BLD Bezerra… - Ai, 2022 - mdpi.com
The simultaneous surges in the research on socially assistive robotics and that on computer
vision can be seen as a result of the shifting and increasing necessities of our global …
vision can be seen as a result of the shifting and increasing necessities of our global …
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 …
Fully convolutional line parsing
We present a one-stage Fully Convolutional Line P arsing network (F-Clip) that detects line
segments from images. The proposed network is very simple and flexible with variations that …
segments from images. The proposed network is very simple and flexible with variations that …
Extracting 3-D structural lines of building from ALS point clouds using graph neural network embedded with corner information
The representation quantifies the geometric shape and topology of a building is a necessary
procedure for many urban planning applications. A sharp line framework is a high-level …
procedure for many urban planning applications. A sharp line framework is a high-level …
[HTML][HTML] Geometric feature enhanced line segment extraction from large-scale point clouds with hierarchical topological optimization
As the most common primitives, line segments play an essential role in the vectorized
reconstruction of artificial scenes. In this paper, a geometric feature enhanced line extraction …
reconstruction of artificial scenes. In this paper, a geometric feature enhanced line extraction …
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 …