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MuyBridge: Mobile Human Center-of-Mass Estimation from Monocular Video via Sparse Fusion

Paper recorded by Signals 4 on 2026-09-02 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-02 on arXiv · recorded by Signals 4 on 2026-09-03

Category: cs.CV · 计算机视觉 · first seen 2026-09-03

Abstract

The 3D center of mass (CoM) is a primary quantity in the biomechanical analysis of sport, rehabilitation, and clinical movement, yet existing 3D pose tracking, mesh recovery, and multi-view triangulation methods either optimize 3D keypoint accuracy without anatomical constraints or carry compute and capture infrastructure too heavy to deploy where CoM tracking is most useful. As a result, the metr

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#161 most recent of 237 cs.CV papers we have recorded · ↑ newer: PlantC2USeg: Cross-Scale Consistent Pre-Training for Few-Shot Unified · ↓ older: RoGe: Novel View Synthesis via End-to-End Implicit Reconstruction and
Cite this page: MuyBridge: Mobile Human Center-of-Mass Estimation from Monocular Video via Sparse Fusion: the #161 most recent of 237 cs.CV papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/muybridge-mobile-human-center-of-mass-estimation-from-monocular-video-via-sparse.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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