J Zhou, K Chen, L Xu, Q Dou… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
One critical challenge in 6D object pose estimation from a single RGBD image is efficient integration of two different modalities, ie, color and depth. In this work, we tackle this problem …
As RGB-D sensors become more affordable, using RGB-D images to obtain high-accuracy 6D pose estimation results becomes a better option. State-of-the-art approaches typically …
X Liu, S Iwase, KM Kitani - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
We present a large-scale stereo RGB image object pose estimation dataset named the StereOBJ-1M dataset. The dataset is designed to address challenging cases such as object …
C Zhuang, H Wang, H Ding - Robotics and Computer-Integrated …, 2024 - Elsevier
Current state-of-the-art pose estimation methods are almost launched on segmented RGB-D images. However, these methods may not apply to more general industrial parts due to a …
P Yin, J Ye, G Lin, Q Wu - Knowledge-Based Systems, 2021 - Elsevier
Abstract 6D object pose estimation plays an important role in various applications such as robot manipulation and virtual reality. In this paper, we introduce a graph convolution neural …
Y Zhang, Y Liu, Q Wu, J Zhou, X Gong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The 6-D pose estimation is a crucial task in vision-based measurement for robotic manipulation. It becomes a challenging task because of the variety of lighting conditions …
ZW Hong, YY Hung, CS Chen - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
In this work we introduce a novel method for calculating the 6DoF pose of an object using a single RGB-D image. Unlike existing methods that either directly predict objects' poses or …
The socio-economic need for service robots has become more evident during the ongoing pandemic. To boost their deployment, robots need to improve their manipulation …
Z Wang, X Sun, H Wei, Q Ma, Q Zhang - Machines, 2023 - mdpi.com
Recently, applying the utilization of RGB-D data for robot perception tasks has garnered significant attention in domains like robotics and autonomous driving. However, a prominent …