SLAM for endoscopy is enhanced by fusing monocular RGB images with depth predictions from an adversarially-trained CNN trained on synthetic and CT-derived data to enable dense reconstruction.
Pediatric Surgery International 21(11), 873-877, 2005-11-01
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SLAM Endoscopy enhanced by adversarial depth prediction
SLAM for endoscopy is enhanced by fusing monocular RGB images with depth predictions from an adversarially-trained CNN trained on synthetic and CT-derived data to enable dense reconstruction.