[HTML][HTML] 6D object position estimation from 2D images: A literature review
The 6D pose estimation of an object from an image is a central problem in many domains of
Computer Vision (CV) and researchers have struggled with this issue for several years …
Computer Vision (CV) and researchers have struggled with this issue for several years …
YH-Pose: Human pose estimation in complex coal mine scenarios
XQ Dong, XC Wang, BJ Li, HY Wang, GC Chen… - … Applications of Artificial …, 2024 - Elsevier
Human pose estimation in continuous video frames captured from complex coal mine
scenes is challenging. The video frames in this scene may suffer from problems such as …
scenes is challenging. The video frames in this scene may suffer from problems such as …
A lightweight high-resolution RS image road extraction method combining multi-scale and attention mechanism
R Wang, M Cai, Z Xia - IEEE Access, 2023 - ieeexplore.ieee.org
Road information plays an indispensable role in human society's development. However,
owing to the diversity and complexity of roads, it is difficult to obtain satisfactory road …
owing to the diversity and complexity of roads, it is difficult to obtain satisfactory road …
[HTML][HTML] FAS-Res2net: An improved res2net-based script identification method for natural scenes
Z Zhang, H Mamat, X Xu, A Aysa, K Ubul - Applied Sciences, 2023 - mdpi.com
Problems such as complex image backgrounds, low image quality, diverse text forms, and
similar or common character layouts in different script categories in natural scenes pose …
similar or common character layouts in different script categories in natural scenes pose …
A Robust Convolutional Neural Network for 6D Object Pose Estimation from RGB Image with Distance Regularization Voting Loss
F Ullah, W Wei, YI Daradkeh, M Javed… - Scientific …, 2022 - Wiley Online Library
Six‐degree (6D) pose estimation of objects is important for robot manipulation but at the
same time challenging when dealing with occluded and textureless objects. To overcome …
same time challenging when dealing with occluded and textureless objects. To overcome …
End-to-end reconstruction of multi-scale holograms based on cue-net
S Wang, X Jiang, X Liu, Z Dong, R Pei, H Wang - Optics Communications, 2023 - Elsevier
Digital holography is one of the most widely used label free microscopy techniques in
biomedical imaging. It is an important step in hologram reconstruction to recover the missing …
biomedical imaging. It is an important step in hologram reconstruction to recover the missing …
[PDF][PDF] 基于渲染视角采样的轻量化模板匹配算法
文代洲, 王晰, 任明俊 - Laser & Optoelectronics Progress, 2024 - researching.cn
摘要位姿估计作为一种经典的计算机视觉感知任务, 常用于自动驾驶和机器人抓取等场景.
基于深度学习的模板匹配位姿估计算法对未知场景的鲁棒性极强, 但是当前方法普遍存在显存 …
基于深度学习的模板匹配位姿估计算法对未知场景的鲁棒性极强, 但是当前方法普遍存在显存 …
A Robust CoS-PVNet Pose Estimation Network in Complex Scenarios
J Yong, X Lei, J Dang, Y Wang - Electronics, 2024 - mdpi.com
Object 6D pose estimation, as a key technology in applications such as augmented reality
(AR), virtual reality (VR), robotics, and autonomous driving, requires the prediction of the 3D …
(AR), virtual reality (VR), robotics, and autonomous driving, requires the prediction of the 3D …
VP-KLNet: efficient 6D object pose estimation with an enhanced vector-field prediction network and a keypoint localization network
Y Zhang, L Wan, Y Zhu, W Xu… - Journal of Electronic …, 2022 - spiedigitallibrary.org
6D object pose estimation is essential for many applications with high demands in accuracy
and speed. Compared with end-to-end approaches, pixel-wise voting network (PVNet), a …
and speed. Compared with end-to-end approaches, pixel-wise voting network (PVNet), a …
SE-UF-PVNet: A Structure Enhanced Pixel-wise Union vector Fields Voting Network for 6DoF Pose Estimation
Y Huang, K Wu, F Sun, C Cai - Proceedings of the 2023 4th International …, 2023 - dl.acm.org
This paper focuses on addressing the problem of 6DoF object pose estimation with a known
3D model from a single RGB image. Some recent works have shown that structure …
3D model from a single RGB image. Some recent works have shown that structure …