Dynamic Projection Mapping in Augmented Reality Systems
Summary
Dynamic projection mapping integrates real-time sensing, image processing and light modulation to overlay digital content onto moving or deformable physical surfaces. By continuously tracking object geometry and pose, modern systems adapt projected imagery to changes in depth, orientation and surface topology, enabling seamless augmentation without head-mounted displays. Applications range from live performance enhancement and interactive art installations to industrial inspection and medical visualisation. Key challenges include maintaining focus across variable distances, compensating for surface colour and texture, mitigating occlusions and reducing latency. Recent advances employ high-speed cameras, variable-focus optics, convolutional neural networks and modular projector-camera assemblies to deliver robust, high-fidelity mappings in dynamic environments.
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Dynamic Projection Mapping in Augmented Reality Systems publication trend
The graph below shows the total number of articles in dynamic projection mapping in augmented reality systems across all publications each year (not limited to Nature Index journals).
Technical terms
Dynamic Projection Mapping: Real-time alignment and projection of imagery onto moving or deformable surfaces.
Depth of Field: The range of distances within which a projected image remains in sharp focus.
Defocus Blur: Loss of image sharpness caused by a mismatch between the projector’s focal plane and the surface distance.
Radiometric Compensation: Correction of projected light to counteract surface colour and texture variations to achieve uniform appearance.
Modular Architecture: A system design composed of interchangeable units—such as separate optical and imaging modules—to enhance flexibility and upgradeability.
References
- Dynamic depth-of-field projection mapping method based on a variable focus lens and visual feedback.. Optics Express (2023).
- A Monocular Projector-Camera System Using Modular Architecture. IEEE Transactions on Visualization and Computer Graphics (2023).
- ProDebNet: projector deblurring using a convolutional neural network.. Optics Express (2020).
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