Papers Line Detection
“Line Detection” 태그가 달린 논문 137편 · 필터 해제
End-to-End Text Line Detection and Ordering
Practical text-recognition pipelines for historical documents typically decompose layout analysis into line detection followed by a separate reading-order step, with the latter most often handled by a hand-coded geometri…
Line DetectionRailway Artificial Intelligence Learning Benchmark (RAIL-BENCH): A Benchmark Suite for Perception in the Railway Domain
Automated train operation on existing railway infrastructure requires robust camera-based perception, yet the railway domain lacks public benchmark suites with standardized evaluation protocols that would enable reproduc…
Multi-Object TrackingObject DetectionVisual OdometryLine DetectionRadar-based Pose Optimization for HD Map Generation from Noisy Multi-Drive Vehicle Fleet Data
High-definition (HD) maps are important for autonomous driving, but their manual generation and maintenance is very expensive. This motivates the usage of an automated map generation pipeline. Fleet vehicles provide suff…
Autonomous DrivingLine DetectionPoint CloudsOmnidirectional Solid-State mmWave Radar Perception for UAV Power Line Collision Avoidance
Detecting and estimating distances to power lines is a challenge for both human UAV pilots and autonomous systems, which increases the risk of unintended collisions. We present a mmWave radar-based perception system that…
Collision AvoidanceLine DetectionLine-based Event Preprocessing: Towards Low-Energy Neuromorphic Computer Vision
Neuromorphic vision made significant progress in recent years, thanks to the natural match between spiking neural networks and event data in terms of biological inspiration, energy savings, latency and memory use for dyn…
Line DetectionSpinal Line Detection for Posture Evaluation through Train-ing-free 3D Human Body Reconstruction with 2D Depth Images
The spinal angle is an important indicator of body balance. It is important to restore the 3D shape of the human body and estimate the spine center line. Existing mul-ti-image-based body restoration methods require expen…
Line DetectionPandar128 dataset for lane line detection
We present Pandar128, the largest public dataset for lane line detection using a 128-beam LiDAR. It contains over 52,000 camera frames and 34,000 LiDAR scans, captured in diverse real-world conditions in Germany. The dat…
BEV SegmentationLine DetectionLane DetectionUltra-Low-Latency Spiking Neural Networks with Temporal-Dependent Integrate-and-Fire Neuron Model for Objects Detection
Spiking Neural Networks (SNNs), inspired by the brain, are characterized by minimal power consumption and swift inference capabilities on neuromorphic hardware, and have been widely applied to various visual perception t…
Object DetectionLine DetectionVidFuncta: Towards Generalizable Neural Representations for Ultrasound Videos
Ultrasound is widely used in clinical care, yet standard deep learning methods often struggle with full video analysis due to non-standardized acquisition and operator bias. We offer a new perspective on ultrasound video…
Video ReconstructionLine DetectionDetection of Rail Line Track and Human Beings Near the Track to Avoid Accidents
This paper presents an approach for rail line detection and the identification of human beings in proximity to the track, utilizing the YOLOv5 deep learning model to mitigate potential accidents. The technique incorporat…
Line Detectionobject-detectionObject DetectionReal-Time Object DetectionLINEA: 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 DetectionClearLines - Camera Calibration from Straight Lines
The problem of calibration from straight lines is fundamental in geometric computer vision, with well-established theoretical foundations. However, its practical applicability remains limited, particularly in real-world …
Camera CalibrationLine DetectionPersistence-based Hough Transform for Line Detection
The Hough transform is a popular and classical technique in computer vision for the detection of lines (or more general objects). It maps a pixel into a dual space -- the Hough space: each pixel is mapped to the set of l…
Line DetectionTopological Data AnalysisThe Efficacy of Semantics-Preserving Transformations in Self-Supervised Learning for Medical Ultrasound
Data augmentation is a central component of joint embedding self-supervised learning (SSL). Approaches that work for natural images may not always be effective in medical imaging tasks. This study systematically investig…
ClassificationData AugmentationDiagnosticLine Detection+1Robust Detection of Extremely Thin Lines Using 0.2mm Piano Wire
This study developed an algorithm capable of detecting a reference line (a 0.2 mm thick piano wire) to accurately determine the position of an automated installation robot within an elevator shaft. A total of 3,245 image…
Edge DetectionLine DetectionPositionBST: Badminton Stroke-type Transformer for Skeleton-based Action Recognition in Racket Sports
Badminton, known for having the fastest ball speeds among all sports, presents significant challenges to the field of computer vision, including player identification, court line detection, shuttlecock trajectory trackin…
Action RecognitionLine DetectionPose EstimationSkeleton Based Action Recognition+2Advanced YOLO-based Real-time Power Line Detection for Vegetation Management
Power line infrastructure is a key component of the power system, and it is rapidly expanding to meet growing energy demands. Vegetation encroachment is a significant threat to the safe operation of power lines, requirin…
Line DetectionManagementobject-detectionObject DetectionMotion-Robust T2* Quantification from Gradient Echo MRI with Physics-Informed Deep Learning
Purpose: T2* quantification from gradient echo magnetic resonance imaging is particularly affected by subject motion due to the high sensitivity to magnetic field inhomogeneities, which are influenced by motion and might…
Line DetectionMotion DetectionBringing RGB and IR Together: Hierarchical Multi-Modal Enhancement for Robust Transmission Line Detection
Ensuring a stable power supply in rural areas relies heavily on effective inspection of power equipment, particularly transmission lines (TLs). However, detecting TLs from aerial imagery can be challenging when dealing w…
Edge-computingLine 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 Detection