Twin and dislocation induced grain subdivision and strengthening in laser shock peened Ti
A significantly refined microstructure with high twin and dislocation densities is a common
feature in the Ti surface layers subjected to laser shock peening (LSP). In this study, in order …
feature in the Ti surface layers subjected to laser shock peening (LSP). In this study, in order …
EPLF-VINS: Real-time monocular visual-inertial SLAM with efficient point-line flow features
L Xu, H Yin, T Shi, D Jiang… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
This letter introduces an efficient visual-inertial simultaneous localization and map**
(SLAM) method using point and line features. Currently, point-based SLAM methods do not …
(SLAM) method using point and line features. Currently, point-based SLAM methods do not …
Lsdnet: 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 …
based on convolutional neural networks–CNNs. Unfortunately, these methods utilize deep …
Hierarchical line segment matching for wide-baseline images via exploiting viewpoint robust local structure and geometric constraints
M Chen, S Yan, R Qin, X Zhao, T Fang, Q Zhu… - ISPRS Journal of …, 2021 - Elsevier
Line segment matching for wide-baseline images is challenging due to the significant
viewpoint differences. In this study, we propose a hierarchical line segment matching …
viewpoint differences. In this study, we propose a hierarchical line segment matching …
Fast vision‐based autonomous detection of moving cooperative target for unmanned aerial vehicle landing
Z Li, C Meng, F Zhou, X Ding, X Wang… - Journal of Field …, 2019 - Wiley Online Library
We propose a fast and effective method, fast target detection (FTD), to detect the moving
cooperative target for the unmanned aerial vehicle landing, and the target is composed of …
cooperative target for the unmanned aerial vehicle landing, and the target is composed of …
PLSD: A perceptually accurate line segment detection approach
Most existing line segment detection methods suffer from the over-segmentation
phenomenon. An improved line segment detection method is presented in this work, which …
phenomenon. An improved line segment detection method is presented in this work, which …
[PDF][PDF] Chessboard and chess piece recognition with the support of neural networks
Chessboard and chess piece recognition is a computer vision problem that has not yet been
efficiently solved. Digitization of a chess game state from a picture of a chessboard is a task …
efficiently solved. Digitization of a chess game state from a picture of a chessboard is a task …
Background grid extraction from historical hand-drawn cadastral maps
We tackle a novel problem of detecting background grids in hand-drawn cadastral maps.
Grid extraction is necessary for accessing and contextualizing the actual map content. The …
Grid extraction is necessary for accessing and contextualizing the actual map content. The …
A line segment detector for space target images robust to complex illumination
X Zhang, C Hu, H Liu, R Du, X Zhou, L Wang - Aerospace, 2023 - mdpi.com
The relative pose estimation of the space target is indispensable for on-orbit autonomous
service missions. Line segment detection is an important step in pose estimation. The …
service missions. Line segment detection is an important step in pose estimation. The …
Prediction-Correction line segment detection
Z Sha, B Zhong - … 2024-2024 IEEE International Conference on …, 2024 - ieeexplore.ieee.org
Edge-drawing methods have gained increasing popularity in line segment detection due to
their notable efficiency. However, existing algorithms commonly impose a pre-determined …
their notable efficiency. However, existing algorithms commonly impose a pre-determined …