Domain gap in adapting self-supervised depth estimation methods for stereo-endoscopy

In endoscopy, depth estimation is a task that potentially helps in quantifying visual information for better scene understanding. A plethora of depth estimation algorithms have been proposed in the computer vision community. The endoscopic domain however, differs from the typical depth estimation sc...

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Bibliographic Details
Main Authors: Sharan Lalith, Burger Lukas, Kostiuchik Georgii, Wolf Ivo, Karck Matthias, De Simone Raffaele, Engelhardt Sandy
Format: Article
Language:English
Published: De Gruyter 2020-09-01
Series:Current Directions in Biomedical Engineering
Subjects:
Online Access:https://doi.org/10.1515/cdbme-2020-0004