A Divide-and-conquer Solution to 3D Human Motion Estimation from Raw MoCap Data.

Marker-based optical motion capture (MoCap) aims to estimate 3L) human motions from a sequence of input raw markers. In this paper, we propose a divide-and -conquer strategy based MoCap solving network that accurately retrieves 31) human skeleton motions from raw marker sequences in real-time. Our core idea is to decompose the task of direct estimation of global human motion from all markers into first solving sub-motions of local. parts and then aggregating submotions into a global one to achieve accurate motion estimation.