BlazePose GHUM Holistic: Real-time 3D Human Landmarks and Pose Estimation

Ivan Grishchenko,Valentin Bazarevsky,Andrei Zanfir,Eduard Gabriel Bazavan,Mihai Zanfir, Richard Yee,Karthik Raveendran,Matsvei Zhdanovich,Matthias Grundmann,Cristian Sminchisescu

arxiv（2022）

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摘要

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.

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