A dataset for hand-eye calibration evaluation
收藏DataCite Commons2020-07-29 更新2025-02-15 收录
下载链接：
http://researchdata.cab.unipd.it/id/eprint/122
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资源简介：
Description:
This dataset aims to assess the accuracy of hand-eye calibration methods (i.e., estimation of the transformation between a robot end effector frame and a camera mounted on it). It contains two sets of images and corresponding robot hand poses. The first one (calib_test) contains images of a calibration pattern to estimate the hand-eye transformation. The second one (spirit_reconst) contains images of a pattern to be 3D reconstructed and manually annotated 2D feature points on the images. By performing multi-view 3D reconstruction on the second set and checking the flatness of the reconstructed points, the calibration accuracy can be assessed. The dimension of the calibration pattern in this dataset is 32 mm.
Paper:
Kenji Koide and Emanuele Menegatti, General Hand-Eye Calibration based on Reprojection Error Minimization, IEEE Robotics and Automation Letters/ICRA2019
提供机构：
Centro di Ateneo per le Biblioteche dell'Università degli Studi di Padova
创建时间：
2019-04-18
