Line Detection
44 papers with code • 2 benchmarks • 3 datasets
SEL
NKL
UrduDoc
Most implemented papers
Key Points Estimation and Point Instance Segmentation Approach for Lane Detection
koyeongmin/PINet
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In the case of traffic line detection, an essential perception module, many condition should be considered, such as number of traffic lines and computing power of the target system.
READ-BAD: A New Dataset and Evaluation Scheme for Baseline Detection in Archival Documents
Well established text line segmentation evaluation schemes such as the Detection Rate or Recognition Accuracy demand for binarized data that is annotated on a pixel level.
PageNet: Towards End-to-End Weakly Supervised Page-Level Handwritten Chinese Text Recognition
Utilizing the proposed weakly supervised learning framework, PageNet requires only transcripts to be annotated for real data; however, it can still output detection and recognition results at both the character and line levels, avoiding the labor and cost of labeling bounding boxes of characters and text lines.
Fast 3D Line Segment Detection From Unorganized Point Cloud
This paper presents a very simple but efficient algorithm for 3D line segment detection from large scale unorganized point cloud.
PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Literature Parsing Task B: Table Recognition to HTML
In our method, we divide the table content recognition task into foursub-tasks: table structure recognition, text line detection, text line recognition, and box assignment. Our table structure recognition algorithm is customized based on MASTER [1], a robust image textrecognition algorithm.
Real-Time Salient Closed Boundary Tracking via Line Segments Perceptual Grouping
The tracking scheme is coherently integrated into a perceptual grouping framework in which the visual tracking problem is tackled by identifying a subset of these line segments and connecting them sequentially to form a closed boundary with the largest saliency and a certain similarity to the previous one.
A Two-Stage Method for Text Line Detection in Historical Documents
For example, for the complex track of the cBAD: ICDAR2017 Competition on Baseline Detection the F-value is increased from 0. 859 to 0. 922.
Deep Hough Transform for Semantic Line Detection
Hanqer/deep-hough-transform
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ECCV 2020
In addition to the proposed method, we design an evaluation metric to assess the quality of line detection and construct a large scale dataset for the line detection task.
Agronav: Autonomous Navigation Framework for Agricultural Robots and Vehicles using Semantic Segmentation and Semantic Line Detection
The successful implementation of vision-based navigation in agricultural fields hinges upon two critical components: 1) the accurate identification of key components within the scene, and 2) the identification of lanes through the detection of boundary lines that separate the crops from the traversable ground.
GPU-Based Computation of 2D Least Median of Squares with Applications to Fast and Robust Line Detection
The 2D Least Median of Squares (LMS) is a popular tool in robust regression because of its high breakdown point: up to half of the input data can be contaminated with outliers without affecting the accuracy of the LMS estimator.
