Koide, Kenji and Menegatti, Emanuele (2019) A dataset for hand-eye calibration evaluation. [Data Collection]
Collection description
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
| DOI: |  10.25430/researchdata.cab.unipd.it.00000122 |
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| Keywords: | Hand-eye calibration | |||||||||
| Subjects: | Physical:Sciences and Engineering > Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems > Computer graphics, computer vision, multi media, computer games | |||||||||
| Department: | Departments > Dipartimento di Ingegneria dell'Informazione (DEI) | |||||||||
| Depositing User: | Kenji Koide | |||||||||
| Date Deposited: | 29 Apr 2019 11:49 | |||||||||
| Last Modified: | 25 Jun 2019 12:24 | |||||||||
| Creators/Authors: |
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| Type of data: | Image | |||||||||
| Research funder: | EU Horizon2020 | |||||||||
| Research project title: | SPIRIT | |||||||||
| Grant number: | 779431 | |||||||||
| Collection period: |
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| Resource language: | English | |||||||||
| Metadata language: | English | |||||||||
| Publisher: | Research Data Unipd | |||||||||
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| Date: | 18 April 2019 | |||||||||
| Copyright holders: | The Author | |||||||||
| URI: | https://researchdata.cab.unipd.it/id/eprint/122 |
orcid.org/0000-0001-5361-1428
