Automated Geometric Registration for Multi-Projector Displays on Arbitrary 3D Shapes Using Uncalibrated Devices

In this article we present a completely automated and scalable multi-projector registration system that allows multiple uncalibrated projectors and cameras on arbitrary shape surfaces. Our method estimates the parameters of multiple uncalibrated tiled or superimposed projectors, the extrinsic parame...

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Bibliographic Details
Published in:IEEE transactions on visualization and computer graphics 2021-04, Vol.27 (4), p.2265-2279
Main Authors: Tehrani, Mahdi Abbaspour, Gopi, M., Majumder, Aditi
Format: Article
Language:English
Subjects:
Augmented reality
Automatic projector calibration
Automation
Calibration
Cameras
Cross correlation
Estimation
Geometry
multi-projector systems
Parameter estimation
Projectors
Registration
Shape
Surface geometry
Surface reconstruction
Three-dimensional displays
visualization systems
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Summary:In this article we present a completely automated and scalable multi-projector registration system that allows multiple uncalibrated projectors and cameras on arbitrary shape surfaces. Our method estimates the parameters of multiple uncalibrated tiled or superimposed projectors, the extrinsic parameters of the observing cameras (with known intrinsic parameters), the shape of the illuminated 3D geometry and geometrically registers the projectors on it. This is achieved without using any fiducials, even if part of the surface is visible to only one camera. The method uses a completely automatic approach for cross-correlation and cross-validation of the device parameters and the surface geometry resulting in an accurate registration on the arbitrary unknown geometry that does not need an accurate prior calibration of each of the uncalibrated devices using physical patterns or fiducials. Estimating projector parameters allows for quick recalibration of the system in the face of projector movements, by re-estimating only the parameters of the moved projector and not the entire system. Thus, our work can enable easy deployment of spatially augmented reality environments of different sizes (from small table top objects to large immersive environments), different shapes (inside-looking-out or outside-looking in), and different configurations (tiled or superimposed) using the same proposed method.
ISSN:1077-2626
1941-0506
DOI:10.1109/TVCG.2019.2950942