Title: | Calibration Data |
Authors: | Sebastian Koch Yurii Piadyk Markus Worchel Marc Alexa Claudio Silva Denis Zorin Daniele Panozzo |
Issue Date: | 2021 |
Abstract: | Images of a real scene taken with a camera commonly differ from synthetic images of a virtual replica of the same scene, despite advances in light transport simulation and calibration. By explicitly co-developing the scanning hardware and rendering pipeline we are able to achieve negligible per-pixel difference between the real image taken by the camera and the synthesized image on geometrically complex calibration object with known material properties. This approach provides an ideal test-bed for developing data-driven algorithms in the area of 3D reconstruction, as the synthetic data is indistinguishable from real data and can be generated at large scale. Pixel-wise matching also provides an effective way to quantitatively evaluate data-driven reconstruction algorithms. |
Description: | Calibration data for physical scans including camera and projector calibrations. A sample scan of the flat calibration board is also included for accuracy testing. |
URI: | http://hdl.handle.net/2451/63307 |
Rights: | CC BY 4.0 License |
Appears in Collections: | Hardware Design and Accurate Simulation for Benchmarking of 3D Reconstruction Algorithms |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
accuracy_test.zip | 14.63 GB | Unknown | View/Open | |
camera_intrinsics.zip | 15.2 GB | Unknown | View/Open | |
camera_vignetting.zip | 277.3 MB | Unknown | View/Open | |
projector_extrinsic.zip | 7.49 GB | Unknown | View/Open | |
projector_intrinsics.zip | 22.47 GB | Unknown | View/Open | |
projector_response.zip | 8.76 GB | Unknown | View/Open | |
projector_vignetting.zip | 488.55 MB | Unknown | View/Open |
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