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Application-driven multi-modal depth completion in fringe projection profilometry
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DOI：10.1016/j.optlaseng.2025.109587.png)
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Abstract
En 中文
• A novel multi-modal depth completion network that merges sparse depth map computed from fringe projection, projector-illuminated grayscale image, and the relative depth map from the Depth Anything v2 Foundation Mode. • A unique metrology approach that addresses the long-standing challenges in fringe projection such as measuring mirror-like reflective surfaces and underexposed regions within a single scan. • A potentially transformative industrial sensing approach for complex and heterogeneous e-waste surfaces.
Keywords:
Fringe projection profilometry
Deep learning
Synthetic data
Robotic automation
Industrial metrology
Depth completion
Multi-modal model
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