(转)3D姿态估计的评价指标MPJPE及其变种

发布于 2023-03-08  301 次阅读


MPJPE是“Mean Per Joint Position Error”,即“平均(每)关节位置误差”。

MPJPE常常用于3D Human Pose Estimation算法的评价指标,这个指标越小则可认为这个3D人体姿态估计算法越好。

看一下公式就能一目了然:

截图来自论文:http://vision.imar.ro/human3.6m/pami-h36m.pdf

用白话描述就是:计算预测关节点与对应GT关节点的L2距离的平均值。

MPJPE通常被称为Protocol #1,常用的还有Protocol #2。此外还有不太常用的Protocol #3。

Protocol #2是P-MPJPE,先经过旋转、对齐等变换再进行MPJPE;而Protocol #3是N-MPJPE,先进行规模对齐再进行MPJPE。

咱们来看一段描述:

Protocol 1 is the mean per-joint position error (MPJPE) in millimeters which is the mean Euclidean distance between predicted joint positions and ground-truth joint positions and follows [29, 53, 59, 34, 41]. Protocol 2 reports the error after alignment with the ground truth in translation, rotation, and scale (P-MPJPE) [34, 50, 10, 40, 56, 16]. Protocol 3 aligns predicted poses with the ground-truth only in scale (N-MPJPE) following [45] for semi-supervised experiments.

描述来自论文:https://arxiv.org/pdf/1811.11742.pdf
————————————————
版权声明:本文为CSDN博主「木盏」的原创文章,遵循CC 4.0 BY-SA版权协议,转载请附上原文出处链接及本声明。
原文链接:https://blog.csdn.net/leviopku/article/details/118108885