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Scale‐preserving shape reconstruction from monocular endoscope image sequences by supervised depth learning

Abstract Reconstructing 3D shapes from images are becoming popular, but such methods usually estimate relative depth maps with ambiguous scales. A method for reconstructing a scale‐preserving 3D shape from monocular endoscope image sequences through training an absolute depth prediction network is p...

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Bibliographic Details
Main Authors: Takeshi Masuda, Ryusuke Sagawa, Ryo Furukawa, Hiroshi Kawasaki
Format: Artigo
Language:Inglês
Published: Wiley 2024-04-01
Series:Healthcare Technology Letters
Subjects:
Online Access:https://doi.org/10.1049/htl2.12064
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