🤖 AI Summary
This work addresses the severe contrast degradation in conventional projection mapping under bright ambient lighting due to environmental light interference. To overcome this limitation, the authors propose a target-exclusion illumination method that leverages an LED display in conjunction with an optimized aperiodic microlens array to generate a controllable light field. This system illuminates the background while actively avoiding the projected regions, thereby enhancing contrast. The design features a compact configuration capable of producing large-area uniform illumination, preserving natural soft shadows while enabling precise spatial control. Furthermore, an optimization algorithm for aperiodic lens arrangement is introduced to suppress crosstalk-induced dark spots and facilitate efficient computation of dynamic LED brightness patterns during projection. Experimental results demonstrate that the proposed system achieves high-contrast, high-quality projection mapping even under strong ambient illumination.
📝 Abstract
Projection Mapping (PM) is a technology that projects images onto the surfaces of physical objects, allowing multiple users to share an augmented reality experience without special devices. However, its practical use has been constrained by the need for dark environments to ensure high-quality projection. To overcome this ``dark-room constraint,'' we propose a novel target-excluding lighting method that selectively illuminates the surrounding environment while avoiding the PM target. Our system achieves light-field illumination by combining an LED display panel with an optimized aperiodic lens array. The key contributions include a compact form factor that provides a large effective light source area, reproducing natural soft shadows comparable to typical lighting, while maintaining the spatial controllability needed to precisely avoid the target. We also introduce a computational technique for optimizing aperiodic lens placement to suppress undesired dark spots caused by crosstalk, and efficient methods for computing LED luminance patterns that enable dynamic PM. Experiments with a prototype system demonstrate that our approach achieves high-contrast PM even in bright environments.