Breaking the Scalability Limit of Multi-Projector Calibration with Embedded Cameras
Takumi Kawano, Kohei Miura, Daisuke Iwai

TL;DR
This paper introduces a scalable multi-projector calibration method using embedded cameras on the calibration target, enabling simultaneous calibration of many projectors and reducing calibration time.
Contribution
It proposes embedding cameras into the calibration surface to directly capture and separate multiple projected patterns, significantly improving scalability over traditional sequential methods.
Findings
Achieves calibration accuracy comparable to conventional methods.
Reduces calibration cycles from linear to nearly constant with respect to projector count.
Enables scalable calibration for dense multi-projector systems.
Abstract
Conventional multi-projector calibration requires projecting and capturing structured light patterns for each projector sequentially, causing calibration time and effort to increase linearly with the number of projectors. This scalability bottleneck has long limited the deployment of large-scale projection mapping systems. We present a new calibration framework that breaks this limitation by embedding cameras into the surface of the calibration target. The embedded cameras directly capture the incoming projection light, enabling the separation of simultaneously projected structured light patterns from multiple projectors according to their incident directions. Our method establishes correspondences between the optical centers of the embedded cameras and the projector pixels, allowing the intrinsic and extrinsic parameters of all projectors to be simultaneously estimated. We further…
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