Details preserved unsupervised depth estimation by fusing traditional stereo knowledge from laparoscopic images
Depth estimation plays an important role in vision-based laparoscope surgical navigation systems. Most learning-based depth estimation methods require ground truth depth or disparity images for training; however, these data are difficult to obtain in laparoscopy. The authors present an unsupervised...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2019-10-01
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Series: | Healthcare Technology Letters |
Subjects: | |
Online Access: | https://digital-library.theiet.org/content/journals/10.1049/htl.2019.0063 |