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Research map / 3D vision / Human pose estimation

Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views

CVPR 2019 · 3D vision › Human pose estimation · approach: Multi-person pose estimation · 218 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use multi-way matching with combined appearance and geometry cues, followed by 3DPS reconstructionMulti-person 3D pose estimation · CampusPCP: 90.6 -> 96.3Helped
use multi-way matching with combined appearance and geometry cues, followed by 3DPS reconstructionMulti-person 3D pose estimation · ShelfPCP: 88.0 -> 96.9Helped
add 3DPS reconstruction rather than triangulation (ablation)Ours with matched 2D poses · CampusPCP: 92.5 -> 96.3Helped
add 3DPS reconstruction rather than triangulation (ablation)Ours with matched 2D poses · ShelfPCP: 95.1 -> 96.9Helped
combine appearance and geometry cues instead of using appearance alone (ablation)Multi-way matching · CampusPCP: 95.8 -> 96.3Helped
combine appearance and geometry cues instead of using appearance alone (ablation)Multi-way matching · ShelfPCP: 84.5 -> 96.9Helped
combine appearance and geometry cues instead of using geometry alone (ablation)Multi-way matching · CampusPCP: 92.3 -> 96.3Helped
combine appearance and geometry cues instead of using geometry alone (ablation)Multi-way matching · ShelfPCP: 91.1 -> 96.9Helped
add bounding-box matching before pose reconstruction (ablation)3D pose estimation · CampusPCP: 81.8 -> 96.3Helped
add bounding-box matching before pose reconstruction (ablation)3D pose estimation · ShelfPCP: 94.0 -> 96.9Helped

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