视觉系统输入多视角RGB-D图像(RGB-D from multiple views),输出6D pose和a segmented point cloud使机器人完成抓取和集装任务。 l相机安装在 6DOF工业机器手ABB IRB1600id末端执行器,并且指向尖端(Fig 1)。 V.6D Object Pose Estimation 场景中物体位姿估计分两阶段(Fig.2):首先,通过深度学习网络将从多视角获取...
We propose a new method for human pose estimation which leverages information from multiple views to impose a strong prior on the articulated pose. The novelty of the method concerns the types of coherence modeled. Consistency is maximized over the different views through different terms modeling ...
1.其实思路很简单看 Figure 2 就可以完全明白。包含一个shape 预测网络,一个pose 预测网络,来重构另一角度下的椅子。(需要注意这个样例的输入,椅子上带有一些shadding。可能有点作弊了。有专门做shadding depth estimation的。)DG-Net中利用同一个人的衣服来重构图像 其实和 DGNet(CVPR19)里面同一人换衣服类似,...
最近NUS联合Sea AI Lab在NeurIPS-2021上发表了一篇论文『Direct Multi-view Multi-person 3D Human Pose Estimation』,提出了一个简单的方法Multi-view Pose Transformer,直接从多视角图片回归多人三维姿态结果,在CMU panoptic数据集上达到15.8mm的MPJPE,简单高效,且良好的可扩展性。 详细信息如下: 论文链接:https://...
最近NUS联合Sea AI Lab在NeurIPS-2021上发表了一篇论文『Direct Multi-view Multi-person 3D Human Pose Estimation』,提出了一个简单的方法Multi-view Pose Transformer,直接从多视角图片回归多人三维姿态结果,在CMU panoptic数据集上达...
最近NUS联合Sea AI Lab在NeurIPS-2021上发表了一篇论文『Direct Multi-view Multi-person 3D Human Pose Estimation』,提出了一个简单的方法Multi-view Pose Transformer,直接从多视角图片回归多人三维姿态结果,在CMU panoptic数据集上达到15.8mm的MPJPE,简单高效,且良好的可扩展性。
Fei-Fei, "Multi-view object categorization and pose estimation," in Computer Vision, ed: Springer, 2010, pp. 205-231.Savarese, S., Li, F.F.: Multi-view object categorization and pose estimation. In: Cipolla, R., Battiato, S., Farinella, G.M. (eds.) Computer Vision. SCI, vol. ...
Multi-view 3D Human Pose Estimation in Complex Environment Its main novelty lies in the integration of three components: single-frame pose recovery, temporal integration and model texture adaptation. Single-frame ... MHM Gavrila - 《International Journal of Computer Vision》 被引量: 77发表: 2012...
最近NUS联合Sea AI Lab在NeurIPS-2021上发表了一篇论文『Direct Multi-view Multi-person 3D Human Pose Estimation』,提出了一个简单的方法Multi-view Pose Transformer,直接从多视角图片回归多人三维姿态结果,在CMU panoptic数据集上达到15.8mm的MPJPE,简单高效,且良好的可扩展性。
内容提示: Direct Multi-view Multi-person 3D Pose EstimationTao Wang 1,2∗ , Jianfeng Zhang 2∗ , Yujun Cai 1 , Shuicheng Yan 1 , Jiashi Feng 1 ,1 Sea AI Lab 2 National University of Singapore,twangnh@gmail.com,zhangjianfeng@u.nus.edu,{caiyj,yansc,fengjs}@sea.comAbstractWe ...