论文标题
Blazepose Ghum整体：实时3D人体地标和姿势估计
BlazePose GHUM Holistic: Real-time 3D Human Landmarks and Pose Estimation
论文作者
论文摘要
我们提出了Blazepose Ghum整体，这是一种针对3D人体地标和姿势估计的轻量级神经网络管道，专门针对实时的启动推论量身定制。 Blazepose Ghum整体可以从单个RGB图像中捕获运动捕获，包括头像控制，健身跟踪和AR/VR效果。我们的主要贡献包括i）一种用于3D地面真相数据获取的新方法，ii）更新了3D身体跟踪，并具有其他手工标记，iii）从单眼图像中进行全身姿势估算。
We present BlazePose GHUM Holistic, a lightweight neural network pipeline for 3D human body landmarks and pose estimation, specifically tailored to real-time on-device inference. BlazePose GHUM Holistic enables motion capture from a single RGB image including avatar control, fitness tracking and AR/VR effects. Our main contributions include i) a novel method for 3D ground truth data acquisition, ii) updated 3D body tracking with additional hand landmarks and iii) full body pose estimation from a monocular image.
