A passive LED-illuminated mask and a VQ-VAE-plus-U-Net network estimate depth from a single laparoscopic image at 3.70 mm mean error, without projector-camera synchronization.
and Saeidi, Hamed and Hsieh, Michael H
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AI-based single-shot structured-light depth reconstruction for real-time laparoscopic surgical guidance
A passive LED-illuminated mask and a VQ-VAE-plus-U-Net network estimate depth from a single laparoscopic image at 3.70 mm mean error, without projector-camera synchronization.