A three-stage optimization pipeline for multi-camera extrinsic self-calibration that refines camera poses, reconstructs human and stick trajectories, and resolves global scale using the known stick length constraint.
Openmmlab pose estimation toolbox and benchmark
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
KD-Judge structures fitness rules via LLM retrieval and chain-of-thought, then uses pose-guided kinematics for rule-based rep validation with caching for efficient edge deployment, achieving RTF < 1 and speedups up to 15.91x on Jetson.
citing papers explorer
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Multi-Camera Self-Calibration in Sports Motion Capture: Leveraging Human and Stick Poses
A three-stage optimization pipeline for multi-camera extrinsic self-calibration that refines camera poses, reconstructs human and stick trajectories, and resolves global scale using the known stick length constraint.
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KD-Judge: A Knowledge-Driven Automated Judge Framework for Functional Fitness Movements on Edge Devices
KD-Judge structures fitness rules via LLM retrieval and chain-of-thought, then uses pose-guided kinematics for rule-based rep validation with caching for efficient edge deployment, achieving RTF < 1 and speedups up to 15.91x on Jetson.