Published August 11, 2024
| Version v1
Dataset
Open
Non-Overlapping Multi-Camera Calibration Dataset using Icosahedron and Cube Calibration Object
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1.
Friedrich-Alexander-Universität Erlangen-Nürnberg
Description
Our dataset comprises images captured using two 3D calibration objects: an icosahedron and a cube. Six 20MP monochrome cameras were arranged in a semicircular configuration with minimal overlapping fields of view. A consistent robotic motion pattern was employed to acquire sequential images for both calibration objects.
This work is conducted at the Institute for Factory Automation and Production Systems(FAPS), University of Erlangen-Nuremberg, Germany.
Files
cube.zip
Files
(9.3 GB)
| Name | Size | Download all |
|---|---|---|
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md5:70bfabba314b6b9b18450ef905299ef9
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4.6 GB | Preview Download |
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md5:e1b428c750bad7928dbef26a4c307a0e
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4.7 GB | Preview Download |
Additional details
Software
- Repository URL
- https://github.com/TabassumNova/Multi_Camera_Calibration
- Programming language
- Python