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dc.contributor.authorSebastian Koch-
dc.contributor.authorYurii Piadyk-
dc.contributor.authorMarkus Worchel-
dc.contributor.authorMarc Alexa-
dc.contributor.authorClaudio Silva-
dc.contributor.authorDenis Zorin-
dc.contributor.authorDaniele Panozzo-
dc.descriptionCalibration data for physical scans including camera and projector calibrations. A sample scan of the flat calibration board is also included for accuracy testing.en
dc.description.abstractImages 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.en
dc.rightsCC BY 4.0 Licenseen
dc.titleCalibration Dataen
Appears in Collections:Hardware Design and Accurate Simulation for Benchmarking of 3D Reconstruction Algorithms

Files in This Item:
File Description SizeFormat 
accuracy_test.zip14.63 GBUnknownView/Open
camera_intrinsics.zip15.2 GBUnknownView/Open
camera_vignetting.zip277.3 MBUnknownView/Open
projector_extrinsic.zip7.49 GBUnknownView/Open
projector_intrinsics.zip22.47 GBUnknownView/Open
projector_response.zip8.76 GBUnknownView/Open
projector_vignetting.zip488.55 MBUnknownView/Open

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