AI Paper Atlas

Research map / 3D vision / Human pose estimation

HOnnotate: A Method for 3D Annotation of Hand and Object Poses

CVPR 2020 · 3D vision › Human pose estimation · approach: Depth-based hand pose regression · 427 citations (OpenAlex)

Check your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
optimize hand and object poses jointly across frames instead of ending with single-frame optimization (ablation)HOnnotate multi-camera annotation · HO-3D multi-camera annotationmean hand-joint error (cm): 0.92 (±0.34) -> 0.77 (±0.29)Helped
combine silhouette and depth terms rather than use either alone (ablation)HOnnotate multi-camera annotation · HO-3D multi-camera annotationmean hand-joint error (cm): 1.17 (±1.12) -> 1.04 (±0.43); 2.22 (±1.22) -> 1.04 (±0.43)Helped
add the 3D distance term (ablation)HOnnotate multi-camera annotation · HO-3D multi-camera annotationmean hand-joint error (cm): 1.04 (±0.43) -> 0.98 (±0.40)Helped
add the physical plausibility term (ablation)HOnnotate multi-camera annotation · HO-3D multi-camera annotationmean hand-joint error (cm): 0.98 (±0.40) -> 0.99 (±0.40)No clear effect
add temporal consistency (ablation)HOnnotate multi-camera annotation · HO-3D multi-camera annotationmean hand-joint error (cm): 0.99 (±0.40) -> 0.92 (±0.34)Helped
add multi-frame joint refinement (ablation)HOnnotate single-camera annotation · HO-3D single-camera annotationhand average mesh error (cm): 0.91 -> 0.77Helped
add multi-frame joint refinement (ablation)HOnnotate single-camera annotation · HO-3D single-camera annotationobject average mesh error (cm): 0.52 -> 0.45Helped
add joint direction predictions alongside 2D joint locations (ablation)CPM + MANO fitting · HO-3D test setmesh error (cm): 1.14 -> 1.06Helped
add joint direction predictions alongside 2D joint locations (ablation)CPM + MANO fitting · HO-3D test setjoint error (cm): 3.14 -> 3.04Helped
predict 2D joints and fit MANO instead of directly predicting MANO parameterssingle-image hand pose estimation · HO-3D test setmesh error (cm): 1.10 -> 1.06Helped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy