3.1 2D Human Pose Detection 采用在MSCOCO[37]数据集上训练的级联金字塔网络[14]进行图像中的2D姿态检测。级联金字塔网络由两个阶段组成:GlobalNet粗略估计人体姿势,而RefineNet给出最佳人体姿势。 3.2 Multi-View Correspondences 在重建3D姿态之前,检测到的2D姿态需要在视图之间进行匹配,即需要在所有视图中找到属于同...
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。 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://...
Therefore, we present a novel multiview video-based markerless system that uses 2D joint detections per view (from OpenPose) to estimate their corresponding 3D positions while tackling the people association problem in the process to allow the tracking of multiple persons at the same time. Our ...
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...
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 ...
To alleviate these problems, we propose a two-stage approach to detect and estimate 3D human poses, which separates single-view pose detection from multi-view 3D pose estimation. This separation enables us to utilize each dataset for the right task, i.e. single-view datasets for constructing ...
Xu Zhao,Yun Fu,Yuncai Liu,Thomas S Huang.Human Pose Estimation with Regression by Fusing Multi View Visual Information.IEEE Transactions on Circuits and Systems for Video Technology. 2010Human Pose Estimation with Regression by Fusing Multi View Visual Information. Xu Zhao,Yun Fu,Yuncai Liu,...
3.2. Multi-view correspondences 在重建 3D 姿势之前,每个视图检测到的2d姿势应该一一对应,即我们需要在所有视图中找到属于同一个人的 2D 边界框。 然而,正如我们在引言中所讨论的,这是一项具有挑战性的任务。 为了解决这个问题,我们需要 1) 一个适当的指标来衡量两个 2D 边界框属于同一个人的可能性(a.k.a...