Orinet: A fully convolutional network for 3d human pose estimation

C Luo, X Chu, A Yuille - arXiv preprint arXiv:1811.04989, 2018 - arxiv.org
In this paper, we propose a fully convolutional network for 3D human pose estimation from
monocular images. We use limb orientations as a new way to represent 3D poses and bind …
被引用次数：96 相关文章 HTML 版
[PDF] jhu.edu

[PDF][PDF] OriNet: A Fully Convolutional Network for 3D Human Pose Estimation

C Luo, X Chu, A Yuille - cs.jhu.edu
In this paper, we propose a fully convolutional network for 3D human pose estimation from
monocular images. We use limb orientations as a new way to represent 3D poses and bind …
[PDF] bmva-archive.org.uk

[PDF][PDF] OriNet: A Fully Convolutional Network for 3D Human Pose Estimation

C Luo, X Chu, A Yuille - bmva-archive.org.uk
In this paper, we propose a fully convolutional network for 3D human pose estimation from
monocular images. We use limb orientations as a new way to represent 3D poses and bind …

OriNet: A Fully Convolutional Network for 3D Human Pose Estimation

C Luo, X Chu, A Yuille - arXiv e-prints, 2018 - ui.adsabs.harvard.edu
In this paper, we propose a fully convolutional network for 3D human pose estimation from
monocular images. We use limb orientations as a new way to represent 3D poses and bind …
[PDF] bmvc2018.org

[PDF][PDF] OriNet: A Fully Convolutional Network for 3D Human Pose Estimation

C Luo, X Chu, A Yuille - bmvc2018.org
In this paper, we propose a fully convolutional network for 3D human pose estimation from
monocular images. We use limb orientations as a new way to represent 3D poses and bind …