论文标题
通过空间不确定性建模的人类3D关键点
Human 3D keypoints via spatial uncertainty modeling
论文作者
论文摘要
我们引入了一种用于3D人类关键估计的技术，该技术直接模拟了关键点的空间不确定性概念。我们的技术采用了一种原则性的方法来建模从稳定统计中的技术灵感而启发的空间不确定性。此外，我们的管道不需要3D地面真相标签，而是依靠（可能是嘈杂的）2D图像级关键点。我们的方法在人类36m上的最新性能接近最新的表现，同时有效地评估和直接至
We introduce a technique for 3D human keypoint estimation that directly models the notion of spatial uncertainty of a keypoint. Our technique employs a principled approach to modelling spatial uncertainty inspired from techniques in robust statistics. Furthermore, our pipeline requires no 3D ground truth labels, relying instead on (possibly noisy) 2D image-level keypoints. Our method achieves near state-of-the-art performance on Human3.6m while being efficient to evaluate and straightforward to
