arXiv (All)
open access
Estimating Accurate Hand Pose in Camera Space with Vision Transformer
Monocular RGB-based hand pose estimation has emerged as a critical research frontier in computer vision. The local hand pose estimation methods predict hand poses relative to the wrist, while global hand pose estimation also requires estimating the wrist's position in the camera coordinate system. H
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- STA-TFM: Spatio-Temporal Aggregation Across Views TransForMer for Pose Estimation#1050656
- StableHand: Quality-Aware Flow Matching for World-Space Dual-Hand Motion Estimation from Egocentric Video#200539
- SignMatch: Matching Dictionary Signs to Continuous Sign Language Video#822306
- DARE: Division Axis and Region Estimation from 2D and 3D Time-Lapse Images#10088
- MEOM: Multi-View Expected-OKS Maximization for Human Pose Triangulation#799714
Record · ID 1061053
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive