Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric Consistency. (arXiv:2208.08407v1 [cs.CV])

Depth estimation is a crucial step for image-guided intervention in robotic
surgery and laparoscopic imaging system. Since per-pixel depth ground truth is
difficult to acquire for laparoscopic image data, it is rarely possible to
apply supervised depth estimation to surgical applications. As an alternative,
self-supervised methods have been introduced to train depth estimators using
only synchronized stereo image pairs. However, most recent work focused on the
left-right consistency in 2D and ignored valuable inherent 3D information on
the object in …

3d arxiv cv image