1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2026
Lollypop: Camera-to-Motion-Capture Calibration Verification with a Reference Target
Tianyi Liu, Kevin Harris, Mihika Dave +1
Camera-to-motion-capture (mocap) calibration is essential for using mocap as ground truth in robotics, AR/VR, and other computer vision tasks. However, the calibration can drift af…
cs.CV2026
Robust Camera-to-Mocap Calibration and Verification for Large-Scale Multi-Camera Data Capture
Tianyi Liu, Christopher Twigg, Patrick Grady +3
Optical motion capture (mocap) systems are widely used for ground-truth capture in AR/VR, SLAM and robotics datasets. These datasets require extrinsic calibration to align mocap co…
cs.RO2024★ 1 cited
RKHS-BA: A Robust Correspondence-Free Multi-View Registration Framework with Semantic Point Clouds
Ray Zhang, Jingwei Song, Xiang Gao +5
This work reports a novel multi-frame Bundle Adjustment (BA) framework called RKHS-BA. It uses continuous landmark representations that encode RGB-D/LiDAR and semantic observations…