Papers Line Segment Detection
“Line Segment Detection” 태그가 달린 논문 41편 · 필터 해제
MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices
Line segment detection is a key building block in visual SLAM, 3D reconstruction, and industrial inspection. Recent deep learning methods have greatly improved accuracy, yet even the smallest models require several megab…
Line Segment Detection3D ReconstructionDetecting 3D Line Segments for 6DoF Pose Estimation with Limited Data
The task of 6DoF object pose estimation is one of the fundamental problems of 3D vision with many practical applications such as industrial automation. Traditional deep learning approaches for this task often require ext…
Line Segment DetectionPose EstimationLattice-allocated Real-time Line Segment Feature Detection and Tracking Using Only an Event-based Camera
Line segment extraction is effective for capturing geometric features of human-made environments. Event-based cameras, which asynchronously respond to contrast changes along edges, enable efficient extraction by reducing…
Line Segment DetectionAdaptive Dual-Constrained Line Aggregation for Robust Generic and Wireframe Line Segment Detection
Line segment detection in images has been studied for several decades. Existing methods can be roughly divided into two categories: generic line segment detectors and wireframe line segment detectors. Generic detectors a…
Line Segment DetectionScaleLSD: Scalable Deep Line Segment Detection Streamlined
This paper studies the problem of Line Segment Detection (LSD) for the characterization of line geometry in images, with the aim of learning a domain-agnostic robust LSD model that works well for any natural images. With…
3D geometryLine Segment DetectionSelf-Supervised LearningLINEA: Fast and Accurate Line Detection Using Scalable Transformers
Line detection is a basic digital image processing operation used by higher-level processing methods. Recently, transformer-based methods for line detection have proven to be more accurate than methods based on CNNs, at …
Line DetectionLine Segment DetectionImproving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking
Classical Transformer-based line segment detection methods have delivered impressive results. However, we observe that some accurately detected line segments are assigned low confidence scores during prediction, causing …
Line Segment DetectionRe-RankingDT-LSD: Deformable Transformer-based Line Segment Detection
Line segment detection is a fundamental low-level task in computer vision, and improvements in this task can impact more advanced methods that depend on it. Most new methods developed for line segment detection are based…
DenoisingLine Segment DetectionThe Impact of Semi-Supervised Learning on Line Segment Detection
In this paper we present a method for line segment detection in images, based on a semi-supervised framework. Leveraging the use of a consistency loss based on differently augmented and perturbed unlabeled images with a …
Line DetectionLine Segment DetectionStaircase Localization for Autonomous Exploration in Urban Environments
A staircase localization method is proposed for robots to explore urban environments autonomously. The proposed method employs a modular design in the form of a cascade pipeline consisting of three modules of stair detec…
Line Segment Detectionobject-detectionObject DetectionLevel-line Guided Edge Drawing for Robust Line Segment Detection
Line segment detection plays a cornerstone role in computer vision tasks. Among numerous detection methods that have been recently proposed, the ones based on edge drawing attract increasing attention owing to their exce…
Line Segment DetectionA 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 portions of objects and scenarios within images. Detection and description of line segments lay the bas…
Line Segment DetectionParsing Line Segments of Floor Plan Images Using Graph Neural Networks
In this paper, we present a GNN-based Line Segment Parser (GLSP), which uses a junction heatmap to predict line segments' endpoints, and graph neural networks to extract line segments and their categories. Different from…
Line Segment DetectionSemantic SegmentationDeepLSD: 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 structural information they provide. Traditi…
Line DetectionLine Segment DetectionDetecting Line Segments in Motion-blurred Images with Events
Making line segment detectors more reliable under motion blurs is one of the most important challenges for practical applications, such as visual SLAM and 3D reconstruction. Existing line segment detection methods face s…
3D ReconstructionLine Segment DetectionWireframe ParsingLSDNet: Trainable Modification of LSD Algorithm for Real-Time Line Segment Detection
As of today, the best accuracy in line segment detection (LSD) is achieved by algorithms based on convolutional neural networks - CNNs. Unfortunately, these methods utilize deep, heavy networks and are slower than tradit…
Line DetectionLine Segment DetectionSemantic 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. We propose a Semanti…
Line Segment DetectionRoom Layout EstimationWireframe ParsingThe whole and the parts: the MDL principle and the a-contrario framework
This work explores the connections between the Minimum Description Length (MDL) principle as developed by Rissanen, and the a-contrario framework for structure detection proposed by Desolneux, Moisan and Morel. The MDL p…
Line Segment DetectionELSED: 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. Its speed is crucial for real time applications. In this paper we present ELSED, the f…
Line DetectionLine Segment DetectionTowards 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-time inference on computationally restricted e…
GPULine Segment DetectionObject DetectionReal-Time Object Detection