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Endoscopic-CT: Learning-Based Photometric Reconstruction for Endoscopic Sinus Surgery
In this work we present a method for dense reconstruction of anatomical structures using white light endoscopic imagery based on a learning process that estimates a mapping between light reflectance and surface geometry. Our method is unique in that few unrealistic assumptions are considered (i.e.,...
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| Опубликовано в: : | Proc SPIE Int Soc Opt Eng |
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| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2016
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5720356/ https://ncbi.nlm.nih.gov/pubmed/29225399 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/12.2216296 |
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