Projection Mapping under Environmental Lighting by Replacing Room Lights with Heterogeneous Projectors
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Abstract (arXiv)
Projection mapping (PM) is a technique that enhances the appearance of real-world surfaces using projected images, enabling multiple people to view augmentations simultaneously, thereby facilitating communication and collaboration. However, PM typically requires a dark environment to achieve high-quality projections, limiting its practicality. In this paper, we overcome this limitation by replacing conventional room lighting with heterogeneous projectors. These projectors replicate environmental lighting by selectively illuminating the scene, excluding the projection target. Our contributions include a distributed projector optimization framework designed to effectively replicate environmental lighting and the incorporation of a large-aperture projector, in addition to standard projectors, to reduce high-luminance emitted rays and hard shadows -- undesirable factors for collaborative tasks in PM. We conducted a series of quantitative and qualitative experiments, including user studies, to validate our approach. Our findings demonstrate that our projector-based lighting system significantly enhances the contrast and realism of PM results even under environmental lighting compared to typical lights. Furthermore, our method facilitates a substantial shift in the perceived color mode from the undesirable aperture-color mode, where observers perceive the projected object as self-luminous, to the surface-color mode in PM.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 4 Mar 2024.
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Citing papers per year: 2024: 1; 2025: 1; 2026: 4.
6 papers.
- 2024GS-ProCams: Gaussian Splatting-based Projector-Camera Systemscited by 6
- 2025DPCS: Path Tracing-Based Differentiable Projector-Camera Systemscited by 4
- 2026Shadowless Projection Mapping for Tabletop Workspaces with Synthetic Aperture Projectorcited by 0
- 2026ProCap: Projection-Aware Captioning for Spatial Augmented Realitycited by 0
- 2026Setup-Independent Full Projector Compensationcited by 0
- 2026FF-ProCams: Feed-Forward Gaussian Splatting for Projector-Camera Systemcited by 0
- 2026FF-ProCams: Feed-Forward Gaussian Splatting for Projector-Camera System20 Jul 2026
- 2026Setup-Independent Full Projector Compensation2 Apr 2026
- 2026ProCap: Projection-Aware Captioning for Spatial Augmented Reality1 Apr 2026
- 2026Shadowless Projection Mapping for Tabletop Workspaces with Synthetic Aperture Projector12 Mar 2026
- 2025DPCS: Path Tracing-Based Differentiable Projector-Camera Systems15 Mar 2025
- 2024GS-ProCams: Gaussian Splatting-based Projector-Camera Systems16 Dec 2024