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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Institution of Engineering and Technology
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6945682/ https://www.ncbi.nlm.nih.gov/pubmed/32038849 http://dx.doi.org/10.1049/htl.2019.0063 |