With the diffusion of Deep Learning (DL), new Learning-based strategies have been introduced to achieve the 6D pose estimation, improving traditional methods by involving Convolutional Neural Networks (CNN). This review analyzed techniques belonging to different research fields and classified them into ...
1.提出了基于卷积神经网络的端到端6D姿态估计方法PoseCNN,且在处理被遮挡物体时有较好鲁棒性 PoseCNN通过定位物体在图像中的中心并预测其与相机的距离来估计物体的3D平移。 物体的3D旋转通过回归到四元数表示来估计。 2.针对对称物体提出了一种新的损失函数ShapeMatch-Loss。 3.贡献了一个大规模的RGB-D视频数据集...
6D姿态概念涉及相机坐标系下物体的3D位置和方向。针孔相机模型表示了相机内参矩阵，其中包含焦距、主点坐标和坐标轴倾斜参数。相机坐标系中的点与投影到成像平面上的点通过特定公式关联。PoseCNN是一种基于卷积神经网络的6D姿态估计方法，尤其在处理被遮挡物体时展现出良好鲁棒性。通过定位物体图像中的中心并预...
Six degrees-of-freedom (6D) object pose estimation plays an important role in pattern recognition of fields such as robotics and augmented reality. However, there are issues with low accuracy and real-time performance of 6D object pose estimation in complex scenes. To address these challenges, in...
The problem is challenging due to the variety of objects as well as the complexity of a scene caused by clutter and occlusions between objects. In this work, we introduce PoseCNN, a new Convolutional Neural Network for 6D object pose estimation. PoseCNN estimates the 3D translation of an ...
6D object position estimation from 2D images: a literature review 28 November 2022 Explore related subjects Discover the latest articles, news and stories from top researchers in related subjects. Artificial Intelligence 1Introduction 3D Human Pose Estimation (3D-HPE) is one of the most active and ...
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes—2017(笔记),程序员大本营,技术文章内容聚合第一站。
Simulated 6D Object Pose Estimation Dataset), consisting of 475K images created in a mixed reality setting with depth simulation, annotated with over 5M annotations across 4162 instances in the same 149 categories; and the manually aligned real scanned objects used in both ROPE and SOPE. Omni6D...
《FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation》论文学习笔记 [占坑] 占坑占坑占坑占坑占坑占坑占坑占坑占坑 不补了不补了不补了不补了不补了不补了
@article{zhang2024omni6dpose, title={Omni6DPose: A Benchmark and ModelforUniversal 6D Object Pose Estimation and Tracking}, author={Zhang, Jiyao and Huang, Weiyao and Peng, Bo and Wu, Mingdong and Hu, Fei and Chen, Zijian and Zhao, Bo and Dong, Hao}, booktitle={European Conference on...