Simultaneous shape and camera-projector parameter estimation for 3D endoscopic system using CNN-based grid-oneshot scan

Simultaneous shape and camera-projector parameter estimation for 3D endoscopic system using CNN-based grid-oneshot scan

For effective in situ endoscopic diagnosis and treatment, measurement of polyp sizes is important. For this purpose, 3D endoscopic systems have been researched. Among such systems, an active stereo technique, which projects a special pattern wherein each feature is coded, is a promising approach bec...

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Bibliographic Details
Main Authors: Ryo Furukawa, Genki Nagamatsu, Shiro Oka, Takahiro Kotachi, Yuki Okamoto, Shinji Tanaka, Hiroshi Kawasaki
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:Healthcare Technology Letters
Subjects:
image matching
medical image processing
cameras
endoscopes
computer vision
feature extraction
stereo image processing
neural nets
image reconstruction
learning (artificial intelligence)
extended bundle adjustment technique
camera-projector parameter estimation
3d endoscopic system
cnn-based grid-oneshot scan
situ endoscopic diagnosis
polyp sizes
active stereo technique
special pattern
endoscope camera
pattern projection area
learning-based technique
Online Access:https://digital-library.theiet.org/content/journals/10.1049/htl.2019.0070

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https://digital-library.theiet.org/content/journals/10.1049/htl.2019.0070

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